Applied Research Scientist
Sully.AI - US - Remote
Posted Feb 26, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Applied Research Scientist US - Remote 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 enable our customers to staff 30% of their workforce with AI by creating a shared agent architecture for scale and efficiency. All powered by our own patented, world-class models and deployed in real-world care. Key Responsibilities - Build and scale automated evaluation pipelines (LLM-as-judge + human review) with clinical-grade benchmarks. Hard Requirements - 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
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