Research Engineer, Applied ML/AI

Sully.ai; United States; Remote; USD 60,000 - 80,000; Full time

Job summary

A leading healthcare AI firm is seeking a Research Engineer in Applied ML/AI to enhance performance through multimodal feature integration. The ideal candidate should have strong engineering experience, particularly in distributed systems and ML production hygiene. This role plays a critical part in shaping the future of healthcare with a flexible, remote-first culture and competitive compensation.

Benefits

Competitive salary

Equity in the company

Flexible remote work environment

Qualifications

• Strong engineering background with experience in distributed systems and large-scale model training/serving.
• Hands-on experience with multimodal ML (audio, vision, text).
• Proven track record of shipping ML systems into production.

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.
• Optimize inference pipelines for cost, throughput, and latency.

Skills

Distributed systems

Large-scale model training

Multimodal ML (audio, vision, text)

Production ML hygiene

Versioning and metrics

Job description

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.