Sully.ai

Research Engineer, Applied ML/AI

Posted 8 Days Ago

Hiring Remotely in US

Remote

150K-210K Annually

Mid level

Artificial Intelligence • Healthtech

The Role

As a Research Engineer for Applied ML/AI, you'll bridge research and production, manage training and fine-tuning pipelines, optimize multimodal features, and ensure high-performance model integration in healthcare.

Summary Generated by Built In

About Us
👏 Team from OpenAI, DeepMind, NASA, GoogleX, Tesla, and 2 physicians: 6 exits, 2 IPOs.
🔥 Our model outperforms Claude, Gemini, and GPT-4.5 on clinical benchmarks.
📈 400+ healthcare orgs signed in 16 months.
⚡️ $25M raised from YC, Amity Ventures, Sequoia scouts, and more.
🌎 $1T+ market opportunity. We’re going after all of it.

About the Role
We are seeking a Research Engineer, Applied ML/AI to bridge cutting-edge research and scalable production systems. This role will own training, fine-tuning, and inference toolchains, drive multimodal (text/audio/vision) integration, and optimize model throughput and evaluation in production. You’ll ensure Sully’s research artifacts translate into stable, high-performance features that power our agents in healthcare.

Key Responsibilities

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.

Hard Requirements

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.

Nice-to-Have

Experience with model optimization techniques (quantization, caching, pruning).
Background in healthcare, medical AI, or other high-stakes regulated environments.
Contributions to open-source ML frameworks or libraries.

First-Month Focus

Audit and streamline current training/fine-tune/inference pipelines.
Stand up evaluation frameworks that gate deployments in CI.
Deliver first improvements in throughput, cost, or latency of deployed models.

Success OKRs (90 Days)

Deploy at least one multimodal feature (speech or vision) to production agents.
Reduce inference cost or latency by 30% through optimization strategies.
Integrate evaluation guardrails into CI/CD to block underperforming model releases.

Culture Fit

Persistent, driven problem solver
Willing to push back on leadership to defend quality/timelines
Thrives in high-ambiguity, fast-paced startup environments

Why Join Sully.ai?
🔥 Shape the Future of Healthcare: Build category-defining partnerships that enable doctors to focus on saving lives.
📈 Early-Stage Impact: Join early and play a critical role in shaping our partnership roadmap and overall company growth.
🌎 Remote-First Culture: Work with a talented, mission-driven team in a flexible, remote environment.
💰 Competitive Compensation: Enjoy a competitive salary, equity, and the opportunity to make a real difference.
🏆 Solve Scalability Challenges: Tackle complex challenges in a rapidly growing company, driving impactful change in healthcare.

Sully.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Sully.ai prohibits any form of workplace harassment.