Machine Learning Engineer

6 days ago


Mountain View, United States Moveworks Full time
Responsibilities
  • Apply machine learning and software engineering to create lasting value for customers
  • Address challenging NLU, LLM, and conversational agent domain challenges
  • Ensure responsible AI practices and privacy-preserving datasets
  • Design new algorithms and architectures using machine learning fundamentals
  • Research and develop innovative and scalable solutions
  • Enhance products and create delightful user experiences using the latest ML advancements
  • Stay updated with the latest ML research and open-source code
Qualifications
  • Problem-solving with machine learning
  • Model training, evaluation, and deployment
  • Solid grasp of model evaluation fundamentals
  • Familiarity with PyTorch and LightGBM
  • Experience with Python, C++, and/or Go
  • Knowledge of deep learning architectures and large language models
  • Attention to detail and data quality
  • Desire to work in a startup-paced environment with a high degree of ownership
  • Strong appetite for continuous learning and staying at the cutting edge of NLU & AI
  • Experience in scaling ML models
  • Knowledge of AI fairness, privacy, safety, and security
  • Familiarity with NLP libraries such as HuggingFace Transformers, PEFT, and SpaCy 3
  • Experience iterating on prompts for large language models
Benefits
  • Market competitive salary
  • Equity for full-time roles
  • Exceptional benefits
  • Commissions or bonus plans for applicable roles

Moveworks is the copilot platform for automating employee support. With advanced LLMs and MoveLM models, Moveworks enables users to converse with business systems through natural language. Join Moveworks, one of the most innovative teams on the planet, to automate L1 support, enhance the employee experience, and navigate critical business initiatives. Moveworks has raised $315 million in funding and is backed by prominent investors.

Moveworks is an equal opportunity employer, providing employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.

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