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Applied Research Scientist

Sully.AI - US - Remote

Posted Feb 26, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • 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

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026
Work mode
Remote From the posting source checked Jun 20, 2026
In-office days
0 days From the posting source checked Jun 20, 2026

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
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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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