Our team designs and builds ML systems and tools that support applied ML teams throughout their product development cycle. Using our systems MLEs and data scientists perform data acquisition and synthesis training evaluation and this role you will be responsible for engineering solutions to support model training such as building reliable and scalable systems to run data processing pipelines data generation engines model evaluation infrastructure and model inference systems. You may also be involved in directly integrating ML into products. You will need to rely on your creativity and problem solving to develop scalable maintainable and cost-effective solutions. You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems have a strong sense of shared ownership and thrive in a collaborative team setting.
5 years industry experience as a Machine Learning Engineer or Software Engineer working on deploying large-scale systems.
Strong understanding in data centric systems distributed systems reliability and cloud services.
Hands-on experience in designing and coding large scale systems.
Proven experience with applied machine learning data engineering or similar.
MS in Computer Science or related experience.
Experience with developer tools or developer productivity systems.
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