Machine Learning Engineer III

WillHire

. Architect Agentic AI . Drive Meta-ML & Optimization . Build recommender systems for engineering teams . Advance Information Retrieval . Scale Evaluation & Observability . Lead the ML Lifecycle . Define Strategic

Posted 4/29/2026full-timePleasanton • California • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 - $240,000 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Architect Agentic AI
Drive Meta-ML & Optimization
Build recommender systems for engineering teams
Advance Information Retrieval
Scale Evaluation & Observability
Lead the ML Lifecycle
Define Strategic Roadmaps
Collaborate with Autonomy

Requirements

What you’ll need

3+ years of experience researching, developing and deploying production-grade ML systems
Expertise in deep learning, NLP, Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow
Proven track record of building and evaluating NLP and LLM-powered products, including expertise in RAG architectures
2+ years of Python experience with a focus on modular library design
Advanced degree (Master’s or Ph.D.) in a quantitative field or a strong portfolio of peer-reviewed research publications
Proficiency in techniques like DSPy, Reinforcement Learning
Hands-on experience with the full ML lifecycle

Benefits

Comp & perks

Workday Bonus Plan
Role-specific commission/bonus
Annual refresh stock grants

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills & Tools

deep learningNLPInformation Retrievalrecommender systemsPyTorchTensorFlowPythonDSPyReinforcement LearningML lifecycle

Soft Skills

leadershipcollaborationstrategic planning

Certifications

Master’s degreePh.D.