Menlo ParkFull TimeEngineering
Remotely
pythonmlopspytorchjaxtensorflowrankingctrretrieval
Job Description
📋 Description
- Design and deliver core ML models for CTR prediction, retrieval, conversion, and
- Lead end-to-end experiments from problem framing to online A/B testing to improve auction, ranking
- Collaborate with product, engineering, and solutions teams to translate retail media requirements
- Improve ML pipelines, model serving, and monitoring for low-latency, high-throughput inference at
- Mentor other ML engineers through reviews, knowledge sharing, and best practices in ML and MLOps.
🎯 Requirements
- 8-12 years of hands-on ML or ML engineering experience with production models in ads, recommender
- Strong hands-on experience with modern ML toolchains (Python, PyTorch, TensorFlow, JAX, feature
- Experience building/optimizing CTR predictors, retrieval/conversion models, or recommender systems
- Ability to break down ambiguous problems into structured ML projects with defined metrics and
- Excellent collaboration skills to align with non-technical stakeholders across product
- Proven track record as a senior technical IC, owning high-impact initiatives and setting high
🎁 Benefits
- Region-based compensation; see internal region section for ranges and locations.
- Comprehensive medical/dental/vision insurance, 401(k) with company match, disability coverage, life
- Flexible time off and paid holidays; Thrive Day per quarter; potential bonus and equity based on
- Location-based pay regions and regional offices listed in compensation discussion.
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