Solstice
Member of Technical Staff (ML)
New York City · Staff+ · Full-time
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- As a Member of Technical Staff in Machine Learning, you will improve the models, representations, and data that power Solstice's AI agents for creating, refining, and reviewing pharmaceutical marketing content.
- The intervention might be better training examples, a retrieval or ranking improvement, a different model or context strategy, or targeted fine-tuning.
Responsibilities
- You will investigate failures across complete agent runs, form a testable hypothesis, implement a change, and establish whether it improves the customer's task.
- You will work directly with Applied AI engineers, who own the complete feature and workflow, and Fullstack AI engineers, who build the shared runtime, APIs, and product experiences.
- You will build prototypes and production components together, with primary responsibility for model and data improvements and the evidence that they generalize.
- Work with Applied AI to separate model or data limitations from missing context, tool failures, or workflow design problems.
- Develop and compare retrieval, reranking, and claim-to-evidence matching approaches across scientific documents and approved content.
- Build curated datasets from successful and failed runs, corrections, and targeted examples.
- Implement and test substantive improvements.
- Relocation support
Requirements
- Experience with scientific documents, human review feedback, or regulated enterprise products is useful.
- a particular degree, publication record, or framework is not a substitute for that evidence.
Skills
- Your work will help agents find supporting evidence, use tools accurately, and incorporate reviewer feedback into better outputs.
Compensation
- The base salary range is $200,000 to $350,000, plus equity, depending on experience and scope of responsibility.
Benefits
- Health, dental, and vision insurance
- Ground-floor equity opportunity
- Professional growth stipend
- The base salary range is $200,000 to $350,000, plus equity, depending on experience and scope of responsibility.
Company info
- Solstice builds AI software that helps life sciences teams create, refine, and review pharmaceutical marketing content.
- We have worked with leading life sciences manufacturers and more than 50 pharma brands.
- Our backers include Transformation Capital, Twelve Below, Virtue, and the founders of Datavant, Commure, and Paradigm.
- The technical problems are concrete:
- find the right evidence in complex scientific material, identify claims accurately, and improve generated content using reviewer feedback and real product outcomes.
- You will work with proprietary data and a team that can put your improvements in front of customers.
Visa & Work Authorization
- Visa sponsorship for O-1, H-1B, and TN visas
This listing is sourced directly from Solstice's careers page and normalized into a canonical job model.