Applied Research Engineer at Miray Holdings
Mountain View, California, United States -
Full Time


Start Date

Immediate

Expiry Date

12 Apr, 26

Salary

0.0

Posted On

12 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Machine Learning, LLM Evaluation, Benchmarking Frameworks, Experiment Design, Technical Writing, Clinical Reasoning, AI Architecture, Automation, Data Analysis, Research, Communication, Collaboration, Problem Solving, Agile Methodologies, Healthcare Technology

Industry

Description
About Us At Sully.ai, We’re Building the Most Impactful Healthcare Company on Earth We believe that access to a great doctor is a basic human right. Today, that’s not a reality. Delays, misdiagnoses, administrative chaos, and burnout plague the system. Our Mission: One Human, One Doctor. We build AI teammates that augment clinicians — scribes, nurses, receptionists, translators — all powered by our own world-class models and deployed in real-world care. Our Traction 450+ organizations signed 16 months AI agents cut admin by ~2.8 hours daily and reduce onboarding 85%. 5M+ Clinical Tasks completed to date, serving 36+ specialties. Raised $25M from YC, Eric Yuan, Amity, Semper Virens Patented AI architecture (MedCon-1) outperforms GPT-4.5, Gemini, Claude on clinical reasoning tasks Sully requires A-players capable of 4 months = 1 year output. What You'll Do Build and scale automated evaluation pipelines (LLM-as-judge + human review) with clinical-grade benchmarks. What you Must Bring Proven experience designing agentic processes and LLM evaluation/benchmarking frameworks. Strong Python and ML background (PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex). Demonstrated ability to design rigorous experiments and translate findings into production. Track record of published research or deep applied work in LLMs and agent evaluation. Strong communication and technical writing skills to articulate complex findings clearly. First-Month Focus Audit existing evaluation approaches for clinical and agentic tasks. Define initial benchmarks and build early automated pipelines. Partner with engineering to land first set of CI gates for accuracy, factuality, and safety. 90 Days Deliver a repeatable evaluation framework with automated pipelines in production. Demonstrate measurable improvements in robustness, hallucination reduction, or safety. Publish or present internal research findings that directly shape product reliability. If you’ve ever said, “I want to do work that actually matters”, this is it. Let’s build something life-changing, together. Who Thrives Here Entrepreneurial to your core: You think in outcomes, thrive in chaos, and take ownership without limits Mission-obsessed: You’re here to save lives, not just ship features — patients and doctors are your why. Impact-driven & fast-moving: You sprint toward hard problems and ship with sharp judgment. Elite teammate: You raise the bar through high standards, direct feedback, and craft excellence. Why Join Sully.ai? 🔥 Revolutionizing the antiquated $800B+ Healthcare market 🧠 50%+ of us are ex-founders. We hire A-players, not passengers ⚡️ Speed matters - we operate with urgency, autonomy, and ownership 🧪 You’ll work on real, first-of-their-kind problems at the edge of AI and medicine ❤️ Your work helps doctors reclaim their time - and patients get better, faster care
Responsibilities
Build and scale automated evaluation pipelines with clinical-grade benchmarks. Audit existing evaluation approaches and partner with engineering to establish accuracy and safety gates.
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