$160,000 to $235,000 usd; not specified; health, 4...
Remote
Full ml lifecycle ownership
Build recommendation and ranking systems
Information extraction and retrieval
Own the full ML lifecycle, taking projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation
Job Summary
Own the full ML lifecycle, taking projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.
Design and build AI systems that efficiently uncover insights from compelling business interaction data, with a strong emphasis on engineering for information retrieval and recommendation systems.
Affinity offers a comprehensive benefits package including health insurance, 401(k), an annual education budget, and wellness reimbursements.
Matching Summary
Own the full ML lifecycle, taking projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.
Salary
$160,000 to $235,000 USD; Not specified; Health, 401(k), Education Budget, Wellness Reimbursements
Skills & Requirements
Must-have
Full ML lifecycle ownership
Build recommendation and ranking systems
Information extraction and retrieval
Serve ML models at scale
Vector or graph databases
Python and modern ML frameworks
Production-grade codebases
Model observability and evaluation
Nice-to-have
Dataset engineering and augmentation
Graph neural networks
CI/CD and pipeline automation
Embrace ambiguity and deliver value
Candid and transparent communication
Key Requirements
5+ years of experience in software engineering and/or ML
Hands-on experience developing ranking or recommendation systems
Experience with serving ML models
Experience with vector or graph databases
Proficiency in Python and modern ML frameworks
Track record of building production-grade codebases