Senior Machine Learning Engineer (LLMs)

Requirements

• 5+ years of real world experience in ML / AI engineering
• Proven experience training or substantially contributing to training LLMs (not just calling APIs)
• Deep understanding of transformers, attention, and training dynamics
• Strong Python plus PyTorch or JAX
• Experience with large-scale data pipelines and experiment tracking
• Hands-on fine-tuning (LoRA, instruction / SFT, RLHF or similar)
• Comfortable using Claude Code as part of your daily workflow
• Able to explain complex systems simply to non-technical stakeholders and go deep with experts
• Ownership and mentoring of projects end-to-end

Qualifications

• Track record of owning projects end-to-end and mentoring other engineers
• Nice to have: Distributed training (FSDP, DeepSpeed, Megatron, etc.), Inference optimization (quantization, speculative decoding, vLLM, Triton), Experience shipping LLM features in production SaaS, Open-source contributions or published work or patents in ML / NLP, Microsoft Foundry experience

Benefits

• Competitive salary (based on experience and location)
• Generous PTO
• Medical, dental, and vision coverage
• 401(k) plan
• High ownership and autonomy over your work
• Direct collaboration with a small team of smart, kind, motivated engineers
• An environment that values deep work, clear thinking, and real impact
• Regular team events and off-sites
• Equipment and learning budget to help you do your best work and keep up with the frontier