Own the full ML lifecycle: Take projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation
Translate business needs into ML solutions: Gather product requirements and translate them into robust ML system design requirements
Build recommendation and ranking systems: Architect and launch ranking and recommendation infrastructure from scratch, initially via integrated off-the-shelf models, and evolving to targeted and customized solutions in the long term
Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data
Collaborate cross-functionally: Partner with cross-functional (product, infra, data engineering, and software engineering) teams to build robust, high-scale systems that underlie all of our data processing and ML Operations

Requirements

5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production
Hands-on experience developing ranking or recommendation systems from scratch, deployed at scale using techniques such as learn-to-rank, explainable recommendations
Strong understanding of machine learning techniques, including clustering and decision trees
Experience with serving ML models for streaming and batch inference at scale
Experience with vector or graph databases
Proficiency in Python and modern ML frameworks (PyTorch, Scikit-learn, or similar)
Track record of building maintainable, testable, and production-grade codebases
Experience with observability tools for online and offline model evaluation, A/B testing, and tracing for AI applications

Benefits

We cover your medical, dental, and vision insurance premiums with comprehensive PPO, HDHP and HMO options (in CA)
Offer flexible personal & sick days to support your well-being
We offer a 401(k) plan to help you plan for your future
Provide an annual education budget and a comprehensive L&D program
Reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness
Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningranking systemsrecommendation systemsfeature engineeringmodel selectionmodel observabilityclusteringdecision treesPythonproduction-grade code

Soft Skills

problem solvingcollaborationcross-functional teamwork