Machine Learning Engineer

Edison Smart
New York, NY, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Cloud Computing Distributed Computing Environment Python (Programming Language) Machine Learning Reinforcement Learning Pytorch Large Language Models Machine Learning Operations

Job description

They need an ML Engineer to take models from research into production, working side by side with their researchers and owning everything from training to serving., * Build and run training and fine tuning pipelines

  • Build the evals that decide if a model is ready to ship
  • Deploy models and improve speed and cost
  • Own how models perform after launch

Requirements

  • 4+ years in ML engineering or research engineering
  • Hands on PyTorch: you’ve trained and debugged models yourself
  • Models taken all the way into production
  • Strong Python with real engineering discipline
  • Cloud, containers and GPU workloads
  • LLM fine tuning, model serving or agent systems
  • Distributed training or inference optimisation
  • Scientific ML or reinforcement learning

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