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Job Locations US-Remote | US-CA-Sunnyvale | US-CA-San Francisco
Posted Date 3 weeks ago(6/9/2022 1:42 PM)
SENIOR SOFTWARE ENGINEER         Position Summary We need a smart, innovative senior Java developer to help us build scalable, resilient and responsive systems         Responsibilities - Set standards for architecture, tools evaluation and selection for our microservices. - Design and implement the API orchestration layer for our web clients - Be obsessive about security, quality and performance. - Promote best practices for writing maintainable and well­-tested code. - Work closely with members of other development teams to ensure seamless integration with front end and backend services. - Schedule product releases with internal teams. - Participate in innovating existing tools, services, and technologies used at Appen         Required Knowledge, Skills and Abilities - Expert knowledge of Java, Spring Boot and JPA/Hibernate development platform - Experience with microservices and building restful APIs (swagger/express) - Hands-on experience developing software with agile methodologies - Work experience on designing database architecture and SQL. - Experience with one or more of AWS Services, Redis, Maven, Docker, Jira, Git and Confluence. - Familiarity with monitoring and debugging tools for web applications - Assertive “go-better” attitude to get work done with little supervision. - Familiarity with modern Front-End frameworks and tools (React, Redux, webpack). - We at Appen look for individuals who embody our core values: performance, honesty, humility, and grit. At Appen, we embrace and strive purposefully with our core values in mind throughout every aspect of our work and expect our employees to meet and exceed these standards. If this resonates with your work ethic and style, we encourage you to apply for this Appen position.         Qualifications and Experience - 5+ years experience developing commercial web application. - Minimum of 3 years hands on experience with Microservices and restful webservices.         About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions, and believe in giving and receiving direct feedback. We give credit where credit is due, and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   #LI - Remote
ID
2022-5909
City
Remote
Job Locations US-Remote
Posted Date 2 days ago(6/27/2022 4:53 PM)
Senior Product Manager – Knowledge, Ontology, and Taxonomy     Position Summary We are looking for an experienced, driven product manager with B2B SaaS experience to drive cross-functional product initiatives that enable Appen customers to consistently classify and interrelate data for training a wide variety of AI machine models. In this role, you will work across engineering, data science, managed services, marketing and sales teams to up level Appen’s software platform. Your contributions will continually expand the ability for our customers to represent their domain knowledge, create ontologies, and publish data labelling systems for a broad range of AI use cases, industries, and systems.   Your area of responsibility will demand excellent communication and collaboration skills, data-driven decision making, continuous evaluation of new opportunities, strong ownership of customer outcomes, and ability to see the bigger picture.     Key Responsibilities · Investigation of market and requirements · Developments of software platform strategies, inclusive of GTM, technical integration, facilitating collaboration across many personas, and creating a shared sense of ownership across Appen · Productize prototypes and conduct experimentation with customers and industry experts · Own product requirements, work delegation and creating a pervasive impact across prelabeled datasets, data collection tools, data annotation tools and human evaluation of AI model deployments · Define service offerings that align Appen’s expertise, deployment of crowd resources, and software roadmap around knowledge graphs, ontology mapping and data classification · Propose new business cases to executive management and obtain buy-in · Work closely with key customers and partners to generate and validate product refinements · Generate content to promote the fast-growth, emerging area of multimodal AI training data preparation · Work closely with Customer Success and Sales teams to evolve roadmap priorities to maximize revenue growth     Qualifications: · BS degree (MS degree highly desirable), with 5+ years of experience in product management in the SaaS enterprise software space · Prior experience in knowledge graphs and taxonomies · Experience using data-driven analytics to gain insights on current situations, new opportunities, and product performance · Experience working directly with customer stakeholders to formulate new use cases for software and/or crowdsourced labor       About Appen Appen is a global leader in the development of high-quality, human-annotated datasets for machine learning and artificial intelligence. Appen brings over 20 years of experience capturing and enriching a wide variety of data types including speech, text, image and video. With deep expertise in more than 180 languages and access to a global crowd of over 1 million skilled contractors, Appen partners with technology, automotive and eCommerce companies — as well as governments worldwide — to help them develop, enhance and use products that rely on natural languages and machine learning.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions and believe in giving and receiving direct feedback. We give credit where credit is due and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   #li-remote  
ID
2022-5897
City
Remote
Job Locations US-Remote
Posted Date 2 days ago(6/27/2022 4:55 PM)
Global Account Manager   Job Brief  Quadrant is a global leader in location data and technology. Our newest product, Geolancer, is set to revolutionize how companies collect and verify accurate data from the real-world to drive their products and services. Having up-to-date point of interest data, as well as additional metadata, with accurate latitude and longitude information can make or break a business. In your role, you will be selling real-world data solutions into the largest tech companies in the world, including the big 5 tech giants (FAANG). The Global Account Manager (GAC) is responsible for building strong partnerships, drive the adoption and usage of Geolancer to collect and verify data, and ensure each customer derives ROI from the data.  In essence, the GAC should act as the ‘CEO’ of their accounts and are responsible for all Quadrant revenues and opportunities relating to those accounts. Additionally, the CSM will work with internal teams and across levels to maximize the value that Geolancer can deliver to their clients. Finally, the GAC is a revenue contributor role with an assigned quota for new business, upsell, and renewal opportunities.   Responsibilities - Account and responsible for the growth and profitability of their businesses. - Be responsible for winning new business by driving awareness, building relationships, discovering customers’ needs/problems and positioning Quadrant across their business units. - For current clients, be responsible for all revenue, renewal, variable spending, overage spending, and developing client case studies and whitepapers. - Work with internal teams to and manage customer communications to keep all deliverables on track. - Anticipate and address issues and risks that may arise and find solutions that exceed customer expectations. - Ensure customer retention by working with the customer to understand, measure, and consistently deliver high ROI. - Maximize customer value by identify and closing on up-sell and cross-sell opportunities and driving revenue. - Continue to add value through relationship building, networking, customer advocacy, orchestrating and leading Quarterly Business Reviews, etc. - Own relationship building, discovery, deal formulation, networking, and diligently tracking towards a revenue / bookings based target (quota).   Requirements - Ability to advocate and sell new ideas and solutions to leadership and key stakeholders within the organization. - Excellent analytical and problem-solving ability to unblock customers from business and technical issues. - Thrives in dynamic work environments where every day is different and creating solutions to satisfy client demand. - Strong communication and relationship management skills, with the ability to effectively navigate organizations and create champions for Quadrant. - Collaborative, motivated to learn new things, and passionate about exceeding client expectations. - Experience managing customers both large and small and knowing how and why to manage them differently.   Qualifications - A minimum of 5 years’ Enterprise selling experience in a quota carrying role selling into the top 5 global tech giants (FAANG). - Exceptional presentation and communications skills are required. - Able to work independently and self sufficiently, needing little management, only coaching and mentorship. - Willingness and desire to learn and adopt new skills - both technical and non-technical - in order to craft and deliver the best solutions. - In depth knowledge of how large Tech firms are structured and organized, and how they operate internally. - Fluency in English is required. Fluency in another language is a plus. - Experience with HubSpot is a plus.   #LI-remote
ID
2022-5869
City
Remote
Job Locations PH-Cavite
Posted Date 2 days ago(6/27/2022 12:18 PM)
Position Summary The Compliance Administrator – Data Protection is responsible for ensuring that the organization adheres to all data protection regulatory and contractual obligations as well as applicable internal policies. This includes, but is not limited, handling data privacy requests . The person in this role will be collaborating with multiple teams in legal, sales, project management, engineering, IT, but also work independently to complete time-sensitive tasks.   Responsibilities - Collaborate with the Data Privacy Analyst in the processing of data subject access requests (DSARs). - Ability to work quickly and manage high volume of tasks of low to moderate complexity. - Support related tasks as needed by the DPO Privacy/Commercial Counsel.    Required Knowledge, Skills and Abilities - Practical experience working with high volume customer service tasks. - An understanding of data privacy compliance principles is preferred. - Diligence; excellent skills and ability to handle repetitive tasks without decreasing work quality. - Ability to identify and prioritize urgent tasks, learn and improve steadily. - Strong desire to learn quickly and gain improved skills.    Qualifications and Experience - Minimum of an associate degree required. - At least two (2) years of relevant work experience, preferably in a customer service setting.   Note: Candidates must be willing to work onsite. Office Address: BPO 1 Building, Suntech iPark, Advincula Avenue, Lancaster New City, Barangay Alapan II-B, Imus, 4103 Cavite, Philippines #LI-onsite   If this resonates with you, or if you feel like you would excel in the role, apply now!    About Appen Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions and believe in giving and receiving direct feedback. We give credit where credit is due and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we do not give up.   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   Growth Strategy High-quality training data necessarily includes human beings, to record and transcribe speech for example or recognize complex images. Appen uses a crowdsourced model to engage humans at scale, but this increases the cost, time, and complexity of providing data sets. The company relies on technology to accelerate and reduce the cost of training data. It has developed and acquired platform that manages and enables crowd workers.   Appen’s Growth Strategy is Built on Four Pillars - Grow in New Markets: Drive growth in target customer segments China, Government, Enterprise, and Global Product - Automate our annotation services: Leverage AI and ML in our labelling operations to improve the productivity and quality of our workforce - Expand our product offering: Add new products and capabilities to expand into the broader data and AI market - Evolve how we do business: Improve the scalability of our operations including sales, project delivery, and crowd management
ID
2022-5852
City
Cavite
Job Locations US-Remote | US-CA-San Francisco
Posted Date 2 days ago(6/27/2022 12:54 PM)
Position Summary:   ADAP users range from engineers and data scientists to subject matter experts creating training data for machine learning. You will be working on the most important problems in technology today: how can humans and AI collaborate to solve important and sometimes complicated tasks?   As a member of our Client Workspace team, you will design and build user interfaces that provide the best experience for our users, whether that’s collecting and managing training data for AI models, evaluating the performance of the machine learning models used by that data, or building infrastructure for managing data pipelines. Specifically, you will work on annotation tools for 2D and 3D images, video, text, and audio annotation that combine human input (eg: bounding boxes on objects) and Machine Learning input (eg: automatic object tracking in videos). You will be on a cross-functional team collaborating with members of the Product, Machine Learning, Dev Ops, and Engineering teams.   Your work will consist of implementing new features and architecture, migrating existing features from legacy applications to a modern React-based front-end stack, and fixing bugs / maintaining existing functionality. You’ll mentor less experienced developers and constantly work on improving your own skills and the quality of our codebase. To learn more about what we build, feel free to start here: Appen Platform Overview.   Ideal Candidate:   You enjoy working on system services and infrastructure and architecting them for change & innovation. You like to work with different technologies and are passionate about learning. You take pride in designing elegant, simple solutions to challenging problems, creating quality software components, and promoting best practices for agile software development. You can work independently, take on complex problems, and enjoy mentoring less experienced developers. You are looking for a team where you can make a difference while also being challenged to improve your own skills. You have strong analytical skills, an unwavering commitment to quality, a collaborative work ethic, and cutting-edge coding skills.   Responsibilities:   - General feature development for combining human and machine intelligence. - Maintain existing Ruby on Rails microservices. - Migrate legacy systems (primarily RoR views) to React/Redux stack. - Assist with QA and testing strategy. Promote best practices for writing maintainable code. - Design and implement the API orchestration layers for our web clients. - Participate actively in setting standards for/innovating architecture and selecting criteria for tools/tech stack. - Work closely with members of other development teams to ensure seamless integration between frontend and backend services. - Be obsessive about security, quality, and performance.   Qualifications and Experience: -  6+ years of experience developing commercial web applications. - 4+ years of experience with Ruby / Ruby on Rails - 3+ years of experience with React/Redux. - 3 d+ years of experience with working with Node.js platform and tools. - Excellent knowledge of JavaScript and CSS. - Proficiency with command line and Chrome Developer Tools. - Experience with Git, Docker, Jira, Confluence. - Collaborative, focused, and impact-oriented mindset toward software development. - Experience or interest in Machine Learning. You will work closely alongside Machine Learning teams and will be using your application / UX expertise to improve the annotation platform’s performance.   About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions and believe in giving and receiving direct feedback. We give credit where credit is due and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we do not give up.   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   #li-remote
ID
2022-5839
City
Remote
Job Locations US-CA-Sunnyvale | US-CA-San Francisco
Posted Date 2 days ago(6/27/2022 12:55 PM)
Sr QA Engineer (Performance)/SDET       About the Role We are looking for a white box performance QA Engineer who has a strong hands-on experience in extending and optimize existing framework for stress & performance, service/integration testing on a complex Web Application. You will be working with the backend development engineer team and DevOps team to build code and provide insight into the performance, scalability customer usage and failure analysis, generate test data, and simulations. You will be navigating the codebase/API, identify weak spots and constantly design better and creative ways to break software and identify potential problems. Some organizations refer to this a Software Development Engineer in Test (SDET) or QA Automation Engineer.   Primary Responsibilities · Work closely with DevOps team to support multiple test environments upgrade and maintenance. · Work closely with architects, developers and QA Engineers to design, build, extend and execute Performance test. Generate and analysis test results to improve scalability of the product. · Understanding the flow of code and how it interacts with different components. · Reproduce, debug and finding root cause of existing performance product issues. · Identify weak spots and potential problems. Constantly design better and creative ways to break software. · Continuously improve the existing automation, speed, quality, and automate repeated tasks. · Work with engineers and QA team to create testing tools and debug automation failures.   Skills & Experience · 3-5 years of hands-on experience in design and build various API testing framework and/or End-to-End automation framework by using Python. · Expertise using tools to build and optimize frameworks, such as Lucas, Grafana and PyTest. · 1-2 year working experience on AWS Cloud Computing, Jenkins, Docker, and Kubernetes, SDLC, CICD pipeline. · 1-2 year working experience with relational database technologies such as PostgreSQL. · 2-3 year experience working with service-oriented architectures. · 1-2 years working knowledge with Kafka. · Knowledge of test methodologies, working experience writing excellent test plans and test reports. · Proactive, have passion in testing, love challenges, quick learner, detail oriented, analytical, problem solver with “get the work done” attitude. · Minimum BS degree in Computer Science or a related technical field.         About Appen Appen is a global leader in the development of high-quality, human-annotated datasets for machine learning and artificial intelligence. Appen brings over 20 years of experience capturing and enriching a wide variety of data types including speech, text, image and video. With deep expertise in more than 180 languages and access to a global crowd of over 1 million skilled contractors, Appen partners with technology, automotive and eCommerce companies — as well as governments worldwide — to help them develop, enhance and use products that rely on natural languages and machine learning.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions and believe in giving and receiving direct feedback. We give credit where credit is due and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.    
ID
2021-5732
City
Sunnyvale
Job Locations US-Remote
Posted Date 2 days ago(6/27/2022 12:43 PM)
MACHINE LEARNING INFRASTRUCTURE ENGINEER       Position Summary   Artificial Intelligence is transforming the world in almost every industry. Everyone knows only good training data can produces the best machine learning solutions. However, creating training data with high quality in a scalable way is very challenging and very few company can do it. The whole AI world is starving for great training data. Appen is the market lead in training data generation field for more than 22 years and generates all kinds of training data like content relevance, image & video, text and audio, as well as data capturing.   Appen Tech team is solving the AI data problem by combining the power of humans and technology. This world-class and exciting engineering position awaits a qualified candidate who will join Appen’s fast growing data science & machine learning team.   We are seeking a machine learning infrastructure engineer with hands-on expertise to build and enhance our machine learning infrastructure to improve millions of annotators efficiency at scale.    In this role, you will be the part of a fast growing team solving very interesting technical problems at the intersection of various exciting domains like Cloud Computing, Distributed Systems, Big Data, Machine Learning, and High Performance Computing. Your work will have an enormous impact on Appen's long-term success.         Responsibilities:   - Design solutions for machine learning infrastructure that will support the current and future needs of our business. - Build scalable and reliable infrastructure that supports feature engineering, model training, deployment, inferencing, performance monitoring in the cloud and on prem. - Build pipeline that supports running multiple machine learning models in parallel in production - Collaborate with data scientists to improve existing machine learning model training and evaluation pipelines - Build continuous integration, testing, and deployment pipelines in cloud computing environments for machine learning services - Build data logging, tracking, analyzing, monitoring and reporting pipelines in cloud computing environments - Work closely with related teams across Appen to ensure that our machine learning services work seamlessly in Appen's platforms and tools.         Required Skills and Qualifications:     - BS or above in Computer Science, Electrical Engineering, or a related field - 3+ years of industry experience building ML infrastructure at scale - Proficient in Python or C++. Experience writing and maintaining high-quality production code - Deep knowledge of Linux operating system and proficient in Bash - Experience in using AWS ECS (or similar orchestration platforms such as Kubernetes), Kafka (or similar streaming platforms), low latency data management systems such as Redis, RocksDB, DynamoDB - Experience in using AWS and/or other major cloud platforms to build data-intensive infrastructure, specially for machine learning applications - Working knowledge of CI/CD automation tools such as Docker, Jenkins, Terraform, Helm etc. - Working knowledge of publicly available ML platforms such as Sagemaker, Kubeflow etc. - Knowledge of machine learning concepts and fundamentals - Great communication skills, both written and oral; comfortable presenting findings and recommendations to non-technical audiences - Ability to proactively learn new concepts and apply them at work     About Appen Appen is a global leader in the development of high-quality, human-annotated datasets for machine learning and artificial intelligence. Appen brings over 20 years of experience capturing and enriching a wide variety of data types including speech, text, image and video. With deep expertise in more than 180 languages and access to a global crowd of over 1 million skilled contractors, Appen partners with technology, automotive and eCommerce companies — as well as governments worldwide — to help them develop, enhance and use products that rely on natural languages and machine learning.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions and believe in giving and receiving direct feedback. We give credit where credit is due and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   #li-remote
ID
2021-5720
City
Remote
Job Locations US-Remote
Posted Date 2 days ago(6/27/2022 1:24 PM)
SENIOR PROFESSIONAL SERVICES ENGINEER REMOTE      Responsibilities - Lead strategic alignment and technical delivery of customer annotation programs with consistent communication to all stakeholders from project team to executive leadership - Create technical implementation strategy for projects leveraging Appen technologies - Design, build and implement custom solutions to process large amounts of data through the Appen Data Annotation Platform - Provide technical recommendations as a “trusted advisor” to internal and external stakeholders with a “customer first” mentality - Partner with Customer Success and Managed Services Teams as the technical liaison to deliver projects, drive adoption, minimize churn and drive renewals - Collaborate closely with Product and Engineering teams to influence product roadmap based on market/customer requirements - Increase overall effectiveness by systematically identifying and solving root cause organizational and technological challenges discovered throughout program delivery - Travel to customer on sites as needed (post COVID-19)   Required Experience/Skills - Minimum 5 years of implementation experience and/or in a technical customer-facing role - Working knowledge of scripting and coding, database querying, and web development (e.g. Python, JavaScript, HTML, CSS, and SQL) - Ability to break down complex problems and resolve through customer consultation and execution. - Strong communication skills, including the ability to relate complicated concepts to both non-technical and technical audiences - Ability to effectively manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic team environment - Understanding of data pipelines from data retrieval, ingestion, querying, scripting, processing, and delivery - Ability to independently plan and manage programs and projects of significant complexity and risk across multiple teams and functions with stakeholders in different time zones Nice to Haves: - B.S. in Computer Science or Technical Bootcamp Equivalent - Knowledge of ETL and ETL workflows - Exposure to AWS Cloud Services, such as S3 and Lambda - Experience building Executive-level and customer-facing dashboards and analysis About Appen Appen is a Human-in-the-Loop AI solution for data science and machine learning teams. Our industry leading, AI-assisted data annotation platform trains, tests, and tunes machine learning models to make AI work in the real world.  Appen’s technology and expertise supports a wide range of use cases that gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries. Founded in 1996, Appen has customers and offices globally.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions and believe in giving and receiving direct feedback. We give credit where credit is due and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   #li-remote
ID
2021-5600
City
Remote
Job Locations US-Remote
Posted Date 2 days ago(6/27/2022 12:43 PM)
            SENIOR MACHINE LEARNING & INFASTRUCTURE ENGINEER           Position Summary   Artificial Intelligence is transforming the world in almost every industry. Everyone knows only good training data can produces the best machine learning solutions. However, creating training data with high quality in a scalable way is very challenging and very few company can do it. The whole AI world is starving for great training data. Appen is the market lead in training data generation field for more than 22 years and generates all kinds of training data like content relevance, image & video, text and audio, as well as data capturing.   Appen Tech team is solving the AI data problem by combining the power of humans and technology. This world-class and exciting engineering position awaits a qualified candidate who will join Appen’s fast growing data science & machine learning team.   We are seeking a staff/senior level machine learning infrastructure engineer with hands-on expertise to build and enhance our machine learning infrastructure to improve millions of annotators efficiency at scale.  This is a tech lead role with the potential to grow into a senior manager.     In this role, you will be the part of a fast growing team solving very interesting technical problems at the intersection of various exciting domains like Cloud Computing, Distributed Systems, Big Data, Machine Learning, and High Performance Computing. Your work will have an enormous impact on Appen's long-term success.    Responsibilities:   - Design solutions for machine learning infrastructure that will support the current and future needs of our business.  - Build scalable and reliable infrastructure that supports feature engineering, model training, deployment, inferencing, performance monitoring in the cloud and on prem. - Build pipeline that supports running multiple machine learning models in parallel in production. - Collaborate with data scientists to improve existing machine learning model training and evaluation pipelines. - Build continuous integration, testing, and deployment pipelines in cloud computing environments for machine learning services. - Build data logging, tracking, analyzing, monitoring and reporting pipelines in cloud computing environments. - Work closely with related teams across Appen to ensure that our machine learning services work seamlessly in Appen's platforms and tools.     Required Knowledge, Skills and Abilities:   - BS or above in Computer Science, Electrical Engineering, or a related field - 5+ years of industry experience building ML infrastructure at scale - Proficient in Python or C++. Experience writing and maintaining high-quality production code - Deep knowledge of Linux operating system and proficient in Bash - Experience in using AWS ECS (or similar orchestration platforms such as Kubernetes), Kafka (or similar streaming platforms), low latency data management systems such as Redis, RocksDB, DynamoDB - Experience in using AWS and/or other major cloud platforms to build data-intensive infrastructure, specially for machine learning applications - Working knowledge of CI/CD automation tools such as Docker, Jenkins, Terraform, Helm etc. - Working knowledge of publicly available ML platforms such as Sagemaker, Kubeflow etc. - Knowledge of machine learning concepts and fundamentals - Great communication skills, both written and oral; comfortable presenting findings and recommendations to non-technical audiences - Ability to proactively learn new concepts and apply them at work       About Appen Appen is a global leader in the development of high-quality, human-annotated datasets for machine learning and artificial intelligence. Appen brings over 20 years of experience capturing and enriching a wide variety of data types including speech, text, image and video. With deep expertise in more than 180 languages and access to a global crowd of over 1 million skilled contractors, Appen partners with technology, automotive and eCommerce companies — as well as governments worldwide — to help them develop, enhance and use products that rely on natural languages and machine learning.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions and believe in giving and receiving direct feedback. We give credit where credit is due and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   #li-remote  
ID
2021-5594
City
Remote
Job Locations US-Remote
Posted Date 2 days ago(6/27/2022 1:11 PM)
CUSTOMER SUCCESS MANAGER (Location: USA Remote)     Position Summary The Customer Success Manager (CSM) is responsible for managing a $3-5M book of business, achieving high customer retention rates within that customer base, and ensuring that an environment for revenue expansion is possible. In addition, the CSM must align multiple internal functions and work across levels and functions within our enterprise customers to maximize the value that Appen delivers. Responsibilities - Accelerate customer platform adoption during the onboarding phase by driving post-sales engagement, achievement of success criteria when applicable, and proactively identifying and managing risk areas - Ensuring proper internal alignment and customer communication to keep all deliverables on track - Anticipating and addressing issues that may arise and finding solutions that unblock and exceed customer expectations. - Ensure customer retention by working with the customer to understand, measure, and consistently deliver high ROI.Driving high utilization of customer’s subscription. - Driving the customer’s business transformation and operational excellence. - Being the customer’s trusted advisor and advocate within Appen. - Collaborating and communicate across various Appen teams to ensure problems are solved, meet and exceed success metrics. - Grow product use within our customer base by understanding and clearly communicating customer use cases, goals, business needs and opportunities to both our product and sales teams. - Building strategic relationship across the enterprise organizations we serve. - Arming Product with customer stories to accelerate product adoption and improve and expand product functionality to ensure immediate customer needs are consistently met and future goals aligned. - Working with Sales to identify new use cases and support their efforts to expand usage within and across enterprises. - Establish a repeatable and scalable engagement model for our Enterprise customer base by creating and driving process standardization and improvement within the CSM team Required Knowledge, Skills and Abilities - Prior experience managing a portfolio of customers with total annual recurring revenue between $1 and $5 Million (i.e., ARR). - Strong leadership skills to advocate cross functionally on behalf of customers. - Excellent analytical and problem-solving ability to unblock customers from business and technical issues. - Willingness to learn core technology tools including but not limited to HTML/CSS, Liquid and SQL. - A true passion for customers and for Customer Success with the ability to build strong relationships. - Truly enjoys a dynamic environment where every day is different, and each challenge is different. - Can juggle multiple, very different tasks – an advanced customer wanting to leverage deep functionality today, onboarding a new customer tomorrow, partnering with sales on an upsell opportunity the next day. Each client may have very different use cases and specific needs, being able to stay organized and accomplish their goals is important to our success. - Experience managing customers both large and small and knowing how and why to manage them differently.   Qualifications and Experience - Bachelor's degree or equivalent work experience. - Willingness to travel and meet customers up to 15% of the time (post-COVID). - 3-5 years in a customer-facing role (CSM, Account Management, Sales) preferably at a SaaS company. About Appen Appen is a global leader in the development of high-quality, human-annotated datasets for machine learning and artificial intelligence. Appen brings over 20 years of experience capturing and enriching a wide variety of data types including speech, text, image and video. With deep expertise in more than 180 languages and access to a global crowd of over 1 million skilled contractors, Appen partners with technology, automotive and eCommerce companies — as well as governments worldwide — to help them develop, enhance and use products that rely on natural languages and machine learning.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions and believe in giving and receiving direct feedback. We give credit where credit is due and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   #li-remote
ID
2021-5586
City
Remote
Job Locations US-Remote | US-CA-San Francisco
Posted Date 2 days ago(6/27/2022 12:44 PM)
Senior Data Scientist  Overview Artificial Intelligence is transforming the world in almost every industry. Everyone knows only good training data can produce the best machine learning solutions. However, creating training data with high quality in a scalable way is incredibly challenging, and very few companies can do it. The whole AI world is starving for great training data. Appen is the market lead in training data generation field for more than 22 years. It generates all kinds of training data like content relevance, image & video, text & audio, as well as data capturing.   Appen Tech team is solving the AI data problem by combining the power of humans and technology. This world-class and exciting engineering position awaits a qualified candidate who will join Appen’s data science team.   We are seeking a senior data scientist with hands-on expertise in the recommendation and search ranking area. You will build crowd CRM systems to mine, engage, match, and recommend good crowd workers with most suitable data labelling jobs. You get the opportunity to work with our global tech team. It is a leading data company with a start-up culture. And we only want people who want to make a huge impact on the AI world instead of just a job!     Job Description  Your Impact - Analyze and discover gaps in Appen’s crowd experience, formulate and own data driven and ML based solutions for crowd recruitment automation – including engagement/retention, search and recommendation, content ranking, registration and qualification process drive growth and increase conversion rate on Appen’s data labeling projects - Drive the alignment and product ownership on key areas with a broad range of stakeholders, such as Product, Engineers, Data Scientist, Operations to achieve shared objectives, provide strategic insight and solution. - Experience with end-to-end ownership of projects including development, deployment, and maintenance of code in production environment, A/B test, and build dashboards and reports to communicate the business impact of data-driven solutions - Serve as subject matter expert and drive thought leadership in the areas of machine learning, recommendation, relevance ranking, and information retrieval areas. - Serve as a mentor and resource to other data scientists and coaching their career growth   Qualifications - 3+ years of industrial experience in recommendation systems, relevance ranking, information retrieval areas, or related field. - Advanced degree in computer science, engineering, statistics, economics, mathematics, or similar quantitative discipline - Have extensive industry experience in the recommendation and search domain with the ability to validate ideas before implementation.  - Excellent programming skills, able to write clean and maintainable code and unit tests (SQL, Python, or other programming languages) in production environment. - Advanced knowledge in experimental design and statistics methods - Advanced knowledge on modern machine learning techniques and their mathematical underpinnings, such as recommendation engines and propensity models - Experience with ETL pipelines and querying large datasets such as clickstream data - Have good track records of architecting and developing recommendation systems and search engine solutions in large scale industry setup. - Ability to work cross-functionally and push partners to connect customer problems to business strategy. - Proactive, self-motivated, and can work independently with strong organizational and time management skills - Desire to continually learn, adapt and work in a fun, fast paced environment.   Strong preference for the San Francisco Bay Area but will consider remote for a strong candidate.     About Appen Appen is a global leader in the development of high-quality, human-annotated datasets for machine learning and artificial intelligence. Appen brings over 20 years of experience capturing and enriching a wide variety of data types including speech, text, image and video. With deep expertise in more than 180 languages and access to a global crowd of over 1 million skilled contractors, Appen partners with technology, automotive and eCommerce companies — as well as governments worldwide — to help them develop, enhance and use products that rely on natural languages and machine learning.   At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions and believe in giving and receiving direct feedback. We give credit where credit is due and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #li-remote
ID
2021-5555
City
Remote