The SeventhHire LLC
Member of Technical Staff - Research Scientist
San Francisco, California, US
Role snapshot
The SeventhHire LLC is hiring a Member of Technical Staff - Research Scientist on a full-time basis. This is an on-site role based in San Francisco, California, US.
- Company
- The SeventhHire LLC
- Location
- San Francisco, California, US
- Work mode
- On-site
- Job type
- Full-time
- Experience
- 3+ years
- Posted
- Nov 7, 2026
Who this role suits
Practitioners with a few years behind them who can work independently, make trade-offs and help newer teammates.
How to prepare your application
- Prepare examples of decisions you drove, how you measured the result, and how you worked with other teams.
- Be ready to discuss trade-offs and scope, not only the tools you have used.
- Read what The SeventhHire LLC publishes about its product or team, so you can say clearly why this role and this company.
Apply only on The SeventhHire LLC's own site. A genuine employer never asks candidates for money, deposits or bank details to apply, interview or “secure” a job. If something looks wrong, use Report a problem with this listing and we will review it. Read how we check listings.
About the role
Job Description Job Description Tech stack -Django, AWS, React, TSX, Python, PyTorch, TensorFlow, Flask, Git, CI/CD Why candidates should join Engineers get early access to all of the newest LLMs and will be working closely with researchers and engineers at the AI labs (OpenAI, Anthropic, Cohere, etc.). Raised $5M Seed. Likely going to be closing a large Series A this month (DO NOT DISCLOSE) Other sell points
0 - 3 years of experience in applied AI roles, with emphasis on benchmarking, evaluation methodologies, or language models. Experience building new benchmarks and evaluation methodologies is highly valued. Previous experience at AI startups, research labs like Anthropic or DeepMind, or founding/early employee at your own company is highly valued. True research experience with published papers (especially in NLP or benchmarking) is valued but not a hard requirement. We prioritize applied work over purely academic publications. Interest and familiarity with LLM infrastructure. Experience with Django or other Python-based HTTP servers (e.g., Flask) is a plus. Strong communication skills. You can provide input to others and equally receive/integrate feedback.
Willing to work in person in SF. We will support your relocation or transportation as needed.
Experience building new benchmarks and evaluation methodologies NLP research experience with papers published in reputable journals. Education
Key Responsibilities
- Stanford NLP research origins, 300+ citations and hundreds more with their newest benchmarks
- Perks lunch/dinner provided, relocation support, health/dental, 401K, unlimited PTO
- Research experience in AI/ML, particularly in benchmarking, evaluation methodologies, or language models
- Experience working in teams. This includes working in development sprints, knowledge of best practices in working with Git, reviewing pull requests.
- Strong Python programming skills with ability to build clean, maintainable code
0 - 3 years of experience in applied AI roles, with emphasis on benchmarking, evaluation methodologies, or language models. Experience building new benchmarks and evaluation methodologies is highly valued. Previous experience at AI startups, research labs like Anthropic or DeepMind, or founding/early employee at your own company is highly valued. True research experience with published papers (especially in NLP or benchmarking) is valued but not a hard requirement. We prioritize applied work over purely academic publications. Interest and familiarity with LLM infrastructure. Experience with Django or other Python-based HTTP servers (e.g., Flask) is a plus. Strong communication skills. You can provide input to others and equally receive/integrate feedback.
Willing to work in person in SF. We will support your relocation or transportation as needed.
Experience building new benchmarks and evaluation methodologies NLP research experience with papers published in reputable journals. Education
- Academic background in Computer Science, Machine Learning, or related field (Masters or PhD preferred). Candidates with a bachelor's degree and 1-3 years of experience could also be considered.
Key Responsibilities
- Evaluate new AI models as they're released (such as DeepSeek, Gemini, etc.)
- Create new benchmarks from scratch, including hiring labelers, constructing datasets, and writing white papers
- Improve underlying methods for auto-evaluation of generated text
- Work closely with engineering to implement and scale evaluation methodologies
- Collaborate with top AI labs and enterprise customers to understand evaluation needs