Machine Learning Engineer

* Eligibility: U.S. citizenship or permanent residency

Our client is seeking a Machine Learning Engineer to join their fast-growing team! This is a hands‑on, high‑ownership role where you’ll design, train, and deploy large‑scale ML and LLM models in a fast‑paced, innovative start‑up environment. If you’re passionate about applied AI, working at the edge of ML research, and solving high‑impact real‑world problems, this is your opportunity to make a difference.

• Lead end‑to‑end ML/LLM projects, including model design, training, fine‑tuning, and deployment in production.
• Work on domain‑specific LLMs, including reinforcement learning and fine‑tuning for specialized tasks.
• Build high‑performance, scalable ML pipelines, optimizing for efficiency and large‑scale computation.
• Develop multi‑modal models for equipment and risk analysis, and implement traditional ML classification for natural language domains.
• Own the process from experimentation to production, iterating and evolving models over time.
• Collaborate with a small, highly technical team in a fast‑paced environment, contributing to architecture and system design discussions.

• 3–4+ years post‑graduate experience (Master’s, PhD preferred) with hands‑on ML/LLM work.
• Deep expertise in PyTorch, Hugging Face, and high‑performance model training.
• Strong programming skills in Python, C, and C++.
• Experience training and fine‑tuning LLMs from scratch, not just using off‑the‑shelf models.
• Solid ML fundamentals and experience building production‑grade systems.
• Familiarity with high‑compute environments and training models on dedicated GPUs.

• Startup or small‑company experience, contributing in high‑ownership roles.
• Experience in regulated industries (nuclear, utilities, energy, etc.).
• Multi‑modal modeling experience.