Senior Machine Learning Engineer
remoterocketship
- New York, New York, United States
- New York, New York, United States
About
Design and run experiments to improve agent quality: better tool use, better reasoning, better outputs, using frameworks like DSPy and VLLM Build and maintain evaluation infrastructure to measure what's working and catch regressions before customers do Optimize LLM inference: latency, cost, model routing, and quality tradeoffs Partner with product teams on model selection and performance benchmarking Work closely with product engineers and PMs to translate customer quality problems into ML hypotheses and solutions Own models end-to-end: from research and experimentation to production deployment Requirements:
5+ years of experience in a dedicated ML Engineer role (not ML-adjacent software engineering) Strong Python skills; experience with PyTorch, VLLM, DSPy or similar LLM optimization frameworks Hands-on experience working with large language models in production: prompt engineering, fine-tuning, evaluation, inference optimization Ability to move from ambiguous problem ('this agent isn't performing well') to experimental design to shipped improvement Comfort working with limited supervision in an early-stage product environment. Benefits:
Equity plan available for eligible roles Annual bonus targets under the bonus plan for eligible roles
Languages
- English
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