Machine Learning Engineer - New Grad

Highlights

• Train speculative decoding models to accelerate LLM inference in production.
• Build agentic systems for tool use, planning, and long-horizon tasks.
• Turn research results into measured end-to-end performance wins.

What they offer

• Equity
• 95% premium coverage for employee medical insurance and 77% for dependents
• Health Savings Account (HSA) with employer contribution
• Dental, Vision, Disability, Life and AD&D insurance plus FSAs
• Well-being benefits including Headspace, Gympass+, One Medical and EAP

Ideal candidate

Recent CS graduate who loves rigorous experimentation and turning research into real product impact. Curious about efficient inference and agentic LLMs, and motivated to ship fast, capable models.

Requirements

• B.S. in Computer Science, Electrical Engineering, Mathematics, or related field
• Strong programming skills in Python
• Solid foundation in machine learning, linear algebra, probability, and numerical computing
• Hands-on experience with PyTorch, TensorFlow, or JAX
• Working knowledge of transformer architectures and LLM training or inference pipeline
• Ability to design clean experiments, interpret results, and communicate findings clearly