MACHINE LEARNING INFRASTRUCTURE ENGINEER
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.
Required Skills and Qualifications:
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.