Moveworks · 4 months ago
Senior Machine Learning Engineer II, NLU & Agentic AI
San Francisco, CA
Full-time
Onsite
Senior Level
$150K/yr - $275K/yrMoveworks is an AI Assistant company that enhances productivity by automating tasks and providing information across enterprise systems. They are seeking a Senior Machine Learning Engineer II to expand their NLU and agentic AI capabilities, focusing on creating high-performance models and enhancing user experiences through innovative machine learning solutions.
Agentic AIArtificial Intelligence (AI)Cloud ComputingInformation TechnologyTechnical Support
Responsibilities
Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers
Take on exciting and difficult challenges in conversational agent domains, such as agent cognitive architecture iteration, multimodal agents, multilingual agents, conversational memory management, reasoning strategies (eg Tree of Thoughts / Graph of Thoughts), fine-tuning LLMs for tool use and enterprise reasoning (including preference alignment with RLHF/RLAIF/DPO), agent evaluation, active learning of exemplars for few-shot text classification, abstractive summarization, and grounding & verifiability for generated text
Push the envelope of Moveworks commitments to responsible AI, expanding our infrastructure for ensuring models work equally well for all people, red-teaming models to ensure they behave safely and as intended, and keeping our ML at the cutting edge of data privacy and security
Use your knowledge of machine learning fundamentals and LLMs to design new algorithms and architectures, evaluate them with small scale experiments and productionize your solutions at scale
Research and develop innovative, scalable and dynamic solutions to hard problems
Use the latest advances in machine learning and LLMs to enhance our products and create delightful user experiences
Spend time weekly reading, discussing, and potentially building models out of the latest ML research and open-source code
Qualification
Required
Drive to ship product improvements with production-quality, fully unit-tested code and rigorously-evaluated updates to models, prompts, or other tunable system components
Ability to solve problems end-to-end with machine learning
Solid grasp of model evaluation fundamentals, especially for text generation, text classification, and non-uniform sampling regimes
Attention to detail and high standard of data quality for training and especially evaluation datasets
Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang
Knowledge of deep learning architectures and algorithms and leading large language models
Desire to work at a startup pace in a medium-sized company with a high degree of ownership
Drive to ship product improvements with production-grade code
Strong appetite for continuous incremental wins and completing challenging projects fast
High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of NLU & AI
Preferred
Experience productionizing ML models at scale
Experience in AI fairness, privacy, permission controls, safety, and/or security
Working familiarity with machine learning frameworks such as PyTorch and LightGBM
Experience with NLP libraries such as HuggingFace Transformers, PEFT, and SpaCy 3
Experience iterating on prompts for large language models in a data-driven way
Benefits
Equity for all full time roles
Exceptional benefits
Commissions or bonus plans
Company
Moveworks
Moveworks offers an AI-powered assistant designed to enhance workflows and automate tasks within enterprises.
Founded in 2016
501-1000 employees
H1B Sponsorship
Moveworks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (40)
2024 (24)
2023 (13)
2022 (38)
2021 (24)
2020 (8)
Funding
Current Stage
Late StageTotal Funding
$305M2025-03-10Acquired
2021-06-30Series C· $200M
2019-11-14Series B· $75M
Leadership Team
Bhavin Shah
CEO & Founder
Jiang Chen
Founder & CTO, AI
Recent News
2026-01-06
2025-12-30
Company data provided by crunchbase