Machine Learning Engineer
Based in Boston, On‑Site
Who We Are
A fast‑growing startup building the infrastructure that lets enterprises deploy, scale, and operate AI reliably and efficiently.
What You’ll Do
Optimise and accelerate training and inference pipelines
Build and maintain scalable ML infrastructure
Deploy, monitor and improve production AI systems
Solve performance bottlenecks across cloud environments
Partner with ML teams to ensure models run smoothly in production
What You Bring
Strong ML systems experience (training optimisation, inference acceleration, performance tuning)
Python expertise; TypeScript or Go a plus
Deep knowledge of modern frameworks (PyTorch, vLLM, Transformers, Megatron‑LM, CUDA)
Production experience with AWS, GCP, Azure and Docker / Kubernetes
Strong systems thinking and collaborative mindset
Why Join
Impact :
Build AI systems that actually run at scale
Ownership :
Shape architecture and influence product direction
Growth :
Competitive salary, equity and advancement opportunities
Challenge :
Tackle hard ML and distributed systems problems
Team :
Work with engineers who love solving complex technical issues
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Machine Learning Engineer • Boston, Massachusetts, United States