Machine Learning Engineer

The role

Design, build, and maintain scalable ML infrastructure to support notification relevance, targeting, ranking, and personalization across channels for millions of users. Architect and implement end-to-end ML pipelines for notifications, including data ingestion, feature computation, model training, evaluation, deployment, and online serving in production environments.

What you'll do

• Design, build, and maintain scalable ML infrastructure
• Architect and implement end-to-end ML pipelines
• Collaborate cross-functionally with data scientists, product managers, and engineers
• Lead design and implementation of experimentation frameworks
• Mentor and provide technical guidance to engineers
• Full-time telecommuting is an option

What it takes

• Bachelor’s degree in Computer Science, Engineering (any field) or related quantitative discipline
• Five (5) years of experience in the job offered or related occupation
• Experience with object-oriented programming (Python, Golang, or Java)
• Building ML models with PyTorch or TensorFlow
• API design and integration with REST, HTTP, Thrift, or gRPC
• Working with large-scale key-value and NoSQL storage and caching systems (Redis, Cassandra, DynamoDB)

What you'll bring

How we treat you

Comprehensive Healthcare Benefits and Income Replacement Programs, 401k with Employer Match, Global Benefit programs, Family Planning Support, Gender-Affirming Care, Mental Health & Coaching Benefits, Flexible Vacation & Paid Volunteer Time Off, Generous Paid Parental Leave

How to apply

Apply directly on Reddit's site. We link straight through — no resume parsing, no profile to fill out.

This listing is aggregated from a third-party source and its summary may be auto-generated, so details can be inaccurate or out of date. ForGood is not the employer and is not liable for the content — please verify everything on Reddit's official posting before applying.