Senior Engineering Manager, ML Platform

📋 Description

• Own infra powering AI/ML models across core surfaces (growth, recommendations, trust).
• Guide prototyping, deployment, productionization of ML architectures shaping UX.
• Design and scale inference infra for large models with low latency.
• Oversee real-time feature pipelines for online/offline stores with single-second feedback.
• Drive feature platform improvements; expand to non-ML use cases like fraud rules with backtesting.
• Lead distributed training and inference pipelines with GPUs; US-based with remote/hub work.

🎯 Requirements

• 4+ years engineering management experience delivering production ML systems at consumer-scale.
• 5+ years hands-on software engineering experience building production systems at consumer-scale.
• 1+ years Python development.
• Ability to work autonomously; drive initiatives across product areas; strong leadership communication.
• Experience with PostgreSQL, DynamoDB, Elasticsearch, and Redis.
• Experience with ML-specific tools and frameworks such as MLFlow, LitServe, TorchServe, Triton.

🎁 Benefits

• Generous holiday and time-off policy.
• Health insurance options including Medical, Dental, Vision.
• Work From Home Support and home office setup allowance.
• Monthly cell phone and internet allowance.
• Care benefits including wellness and childcare support.
• 401(k) retirement plans with employer match.