Research Engineer, Applied ML/AI

Sully.ai

full-time

Posted on: 10/9/2025

Location Type: Remote

Location: Remote • 🇺🇸 United States

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💰 $150,000 - $210,000 per year

Mid-LevelSenior

Distributed Systems

About the role

Own the full training, fine-tuning, and inference toolchains for Sully’s applied ML stack.
Translate research repos into production-ready services behind stable APIs.
Ship multimodal features (text, audio, vision) that enhance agent performance.
Optimize inference pipelines for cost, throughput, and latency.
Build evaluation systems that integrate into CI/CD, blocking weak checkpoints.

Strong engineering background with experience in distributed systems and large-scale model training/serving.
Hands-on experience with multimodal ML (audio, vision, text).
Production ML hygiene: versioning, metrics, observability, reproducibility.
Proven track record of shipping ML systems into production.
Experience with model optimization techniques (quantization, caching, pruning) is a nice-to-have.
Background in healthcare, medical AI, or other high-stakes regulated environments is a nice-to-have.
Contributions to open-source ML frameworks or libraries is a nice-to-have.

Benefits

Competitive Compensation: Enjoy a competitive salary, equity, and the opportunity to make a real difference.
Remote-First Culture: Work with a talented, mission-driven team in a flexible, remote environment.
Solve Scalability Challenges: Tackle complex challenges in a rapidly growing company, driving impactful change in healthcare.

Tip: use these terms in your resume and cover letter to boost ATS matches.

machine learningdistributed systemsmodel trainingmodel servingmultimodal MLversioningmetricsobservabilityreproducibilitymodel optimization