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The company is seeking to improve its machine learning capabilities to drive business growth and efficiency, and is looking for a Senior Staff Software Engineer to help drive technical strategy across its ML Platform team.

Requirements

• In-depth experience with production ML use cases and systems at scale, including with distributed systems architectures, big data processing (e.g. Spark, Flink), and training.
• Understanding of modern deep learning techniques, performance optimizations and GPUs.
• Experience with workflow management.
• Understanding the needs for large ML teams collaborating: governing the lifecycle and ongoing quality of features, datasets, models, and tracking the dependencies / lineage.
• Experience in platform engineering - developing solutions for a user base of other engineers.
• Experience with PyTorch-based training environment, model management & deployment.

Responsibilities

• Tackle ambiguous problem areas by gathering understanding from modeling and infrastructure engineers across the company, proposing and aligning on generalized solutions, and driving the implementation with a team of platform engineers.
• Prototype, investigate, understand latest technologies from industry and academia and find opportunities to build and deploy them at our scale.
• Identify and collaborate with ML engineers to help drive forward top business-impacting ML application projects.
• Provide technical mentorship and guidance to junior engineers within the team.

Other

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• In-office collaboration 1-2 times/quarter.
• US based applicants only.