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Roles
Compensation
USD 190000 - 210000
$190K–$210K + equity; full-time. Salary range shown in USD.
- Salary period
- yearly
- Equity
- Equity
- Bonus
- Bonus: GraphQL, GCP/AWS/Azure, Terraform/DevOps (Full-Stack role). Bonus: synthetic data, RAG, experience fine-tuning LLMs (Data Scientist + ML Engineer role).
Benefits
- Equity
Tech stack
Required
Nice to have
Location
Remote (US, Pacific hours)
Work setup
- Employment
- full-time
- Level
- Senior
- Remote policy
- Remote (US, Pacific hours)
- Remote scope
- timezone-limited
- Timezones
- Remote (US, Pacific hours)
Role details
Responsibilities
- Own projects end-to-end, scope with cross-functional partners, and ship both customer-facing and internal tooling (Senior Full-Stack Software Engineer).
- Build and own data ingestion pipelines processing millions of records and flexible schemas across widely different company types (Senior Full-Stack Software Engineer).
- Own ML/AI problems from definition through production including classification, information extraction, entity resolution, ranking, anomaly detection (Senior Data Scientist + ML Engineer).
- Develop and productionize LLM systems including prompts, retrieval, tool-calling, and eval (Senior Data Scientist + ML Engineer).
- Break ambiguous requirements into iterative deliverables and read unfamiliar code (both senior roles).
Requirements
- 7+ years (Senior Full-Stack Software Engineer).
- TypeScript/Node and React experience (Senior Full-Stack Software Engineer).
- 6+ years (Senior Data Scientist + ML Engineer).
- Python experience with NumPy, Pandas, scikit-learn, and PyTorch (Senior Data Scientist + ML Engineer).
- Strong SQL experience (Senior Data Scientist + ML Engineer).
- Real production deployment experience (Senior Data Scientist + ML Engineer).
- Comfort breaking ambiguous requirements into iterative deliverables and reading unfamiliar code (both roles).
Application
Apply via Ashby link.
- Portfolio
- not required
- GitHub
- unclear
- Cover letter
- unclear
- Apply flow
- ats
- Canonical URL
- https://jobs.ashbyhq.com/neo-tax/
Company context
- Product
- Automates R&D tax credits and software cost capitalization; ingesting data from project management, payroll, identity, and financial systems; uses ML/LLMs to convert processes from months to hours.
- Industry
- Tax technology / enterprise R&D tax credits and software cost capitalization
- Size
- Small team
Description
Neo.Tax automates R&D tax credits and software cost capitalization for enterprises. We ingest data from project management, payroll, identity, and financial systems and use ML/LLMs to turn a process that used to take months into one that takes hours. Small team, real revenue, lots of hard problems in data extraction and pipelines at scale. Currently serving customers like Mercury, Brex, Notion, Adobe, and Capital One. We're hiring two senior roles: (1) Senior Full-Stack Software Engineer (7+ yrs): TypeScript/Node + React; data ingestion pipelines processing millions of records and flexible schemas; own projects end-to-end, scope with cross-functional partners, ship customer-facing and internal tooling. Bonus: GraphQL, GCP/AWS/Azure, Terraform/DevOps. (2) Senior Data Scientist + ML Engineer (6+ yrs): Own ML/AI problems from definition through production: classification, information extraction, entity resolution, ranking, anomaly detection, plus LLM systems (prompts, retrieval, tool-calling, eval). Python (NumPy/Pandas/sklearn/PyTorch), strong SQL, and real production deployment experience. Bonus: synthetic data, RAG, experience fine-tuning LLMs. Both are senior, high-autonomy roles—comfortable breaking ambiguous requirements into iterative deliverables and reading unfamiliar code. Not a fit if you want heavy mentorship or detailed specs handed to you. Apply via Ashby jobs link.
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