Join a stealth AI startup as a Member of Technical Staff (AI Research) to shape the company's research direction and improve frontier AI models. The role involves leading research initiatives, designing experiments, and proposing novel research directions. The ideal candidate has a PhD in Machine Learning or a related field and 1-2 years of startup experience.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
🚀 We're Hiring: Member of Technical Staff (AI Research)
📍 New York, NY / San Francisco, CA | Full-Time | Hybrid (4–5 Days On-site)
Base Salary: $250K–$350K + Competitive Equity
Visa Sponsorship Available
About the Company
Join a well-funded, stealth AI startup building the next generation of AI data infrastructure for frontier AI models. Founded by industry leaders from top AI organizations, the company partners with some of the world's leading AI labs to improve model capabilities through cutting-edge LLM evaluation, benchmark design, and high-quality dataset creation across domains including Finance, Life Sciences, Enterprise AI, and Multimodal Intelligence.
As one of the earliest research hires, you'll play a pivotal role in shaping the company's research direction, influencing how frontier AI systems are evaluated and improved while working alongside world-class researchers in a fast-moving startup environment.
🔍 What We're Looking For
✅ Required Experience
• PhD in Machine Learning, Computer Science, Computer Vision, Artificial Intelligence, or a related quantitative field from a top research university with 1-2 Years of startup experience.
OR
• 5+ years of combined academic and industry AI research experience with a strong publication record in Startups.
• Demonstrated expertise across:
- AI Research
- LLM Evaluation
- Benchmark Design
- Dataset Development
- Research Methodology
- Model Evaluation
- Data Quality Improvement
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• Ability to independently identify model weaknesses, design experiments, propose novel research directions, and drive projects from concept through implementation.
🎓 Preferred Qualifications
✔ Publications at leading AI conferences such as:
- NeurIPS
- ICML
- ICLR
- CVPR
✔ Research experience in one or more of the following:
- Large Language Models (LLMs)
- AI Evaluation Frameworks
- Benchmark Design
- Dataset Taxonomies
- Multimodal AI
- AI Data Quality
- Computer Vision
- Machine Learning Research
✔ Background combining experience from:
- Frontier AI Labs
- Top AI Research Organizations
- Research Universities
- High-growth AI Startups
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✔ Preferred experience includes organizations such as:
- OpenAI
- Anthropic
- Google DeepMind
- Cohere
- xAI
or similar frontier AI research environments.
✔ Candidates with publications, first-author papers, benchmark research, and experience improving frontier AI models through data-centric approaches will be highly preferred.
💻 Tech Stack
- Python
- PyTorch
- Large Language Models (LLMs)
- Evaluation Frameworks
- Benchmark Design
- Data Pipelines
- Machine Learning
- Deep Learning
- AI Dataset Engineering
- Research Tooling
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❌ Not the Right Fit If You...
• Primarily work in Software Engineering, MLOps, Infrastructure Engineering, or Platform Engineering.
• Have experience limited to application development, model serving, or deployment without significant AI research.
• Lack a strong publication record.
• Have expertise only in unrelated AI domains without experience in LLM evaluation, benchmark design, or dataset research.
• Prefer contributing to isolated engineering tasks rather than leading research initiatives end-to-end.
🌟 Why Join?
• One of the earliest research hires with exceptional ownership and autonomy.
• Opportunity to define industry-leading benchmarks for frontier AI models.
• Work directly on cutting-edge AI research alongside world-class researchers.
• Highly competitive compensation with meaningful equity.
• Visa sponsorship available.
• Fast-growing, well-funded stealth AI startup with a long-term vision to shape the future of artificial intelligence.
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