Software Engineer, Core Machine Learning

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Requirements:

• Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience.
• 4+ years of experience, including 3+ years of software engineering experience building and maintaining production systems for consumer-scale loads.
• 1+ years of professional experience developing software in Python.
• Ability to work autonomously and drive initiatives across multiple product areas.
• Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis.
• Familiarity with cloud computing platforms and services like AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink.
• Exceptional documentation and communication skills.

Responsibilities:

• Take a leading role in deploying ML models on business critical surfaces & flows.
• Improve our infrastructure to enable new use cases, i.e. spinning up an ANN-based retrieval stack to unlock RAG or make home feed ranking more scalable.
• Develop scalable machine learning design patterns that make it easy for machine learning scientists and engineers to safely deploy models to production.
• Define and advance our technical approach to scalable machine learning.
• Flex outside your comfort zone to help take on new challenges as they emerge.