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Machine Learning Engineer – Document Intelligence
WillHireMachine Learning Engineer building core Document Intelligence Platform as a Service for Workday. Driving design and development using cutting-edge AI/ML techniques and collaboration.
Posted 6/9/2026full-timePleasanton • California • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 - $240,000 per yearWebsite
Tech Stack
Tools & technologiesCloudPythonPyTorchTensorflow
About the role
Key responsibilities & impact- drive the design and development of our core Document Intelligence Platform as a Service
- support the design and implementation of LLM-based technologies for document parsing, entity extraction, and classification tasks
- apply traditional ML and deep learning techniques to enhance the accuracy, efficiency, and scalability of document intelligence models
- build scalable ML pipelines and services for data preprocessing and training
- perform exploratory data analysis on diverse document datasets
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
- 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, imitation learning, graph neural networks, multi-modal models
- hands-on experience with the full ML lifecycle, including model fine-tuning and cloud-native deployment
- demonstrated ability to lead cross-functional teams and solve ambiguous problems with high autonomy
Benefits
Comp & perks- flexible work arrangements
- opportunity for professional development
- Workday Bonus Plan or role-specific commission/bonus
- annual refresh stock grants
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdeep learningnatural language processinginformation retrievalrecommender systemsPythonDSPyreinforcement learningimitation learninggraph neural networks
Soft Skills
leadershipproblem-solvingautonomy
Certifications
Master’s degreePh.D.