Drimva

Raydar

Staff Machine Learning Engineer

$250K–$300K

New York, New York · Staff · Full-time · Posted Sep 30, 2026

Experience
6+ years of experience in machine learning engineering.
Education
Bachelor's degree in computer science, machine learning, robotics, electrical engineering, or a related field, or equivalent practical experience.
Visa sponsorship
U.S. citizenship is required.

About the job

Leads hands-on development and deployment of multimodal machine learning models for physical hardware, from data preparation and training through evaluation and real-world testing.

What you'll do

  • Train and refine models to meet reliability and latency goals for live deployments.
  • Design and scale GPU compute infrastructure to run parallel training experiments.
  • Own the model lifecycle and increase experimentation throughput across workstreams.

What they ask for

  • History of deploying trained models on physical devices.
  • Experience running large-scale training jobs across multiple GPUs.
  • Practical neural-network training skills in PyTorch or JAX.
  • U.S. citizenship is required.

Nice to have

  • Familiarity with multimodal or foundation models applied to robotics.
  • Knowledge of transformers, generative modeling, and policy learning methods such as learning from demonstrations.

Pay

USD 250,000 to 300,000 per year (base salary)

Tools

PyTorch, JAX

AI focus

Develops and deploys multimodal machine learning models for physical hardware, including training, evaluation, and real-world testing.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 4, 2026 (UTC)