Machine Learning Engineer, Sequence Models (project Sequoia)

What you’d do

Build and scale ML infrastructure for data processing, distributed training, and model serving, optimizing GPU use, throughput, latency, and cost. Own training data pipelines and production monitoring, including on-call, in a full-time role in New York. Found on the employer's careers page on Sep 30, 2026. Apply through the link.

You’ll need

• 3+ years non-internship professional software development experience
• 1+ years designing large-scale distributed software applications
• C#, C++, Java, or Perl experience
• ML infrastructure: distributed training and model serving
• On-call for production systems