Applied GenAI Research Engineer, San Francisco

Applied GenAI Research Engineer

New Yesterday

Job Description:

Applied GenAI Research Engineer

Location: San Francisco Bay Area (Hybrid 2 days/week onsite)

Position Type: Full-Time (Permanent)

Hiring Urgency: Urgent

Start Date: ASAP

Team Size: High-impact, research-driven engineering team

About

A deeply technical role driving frontier LLM infrastructure. This position focuses on building

feedback-driven LLM training systems, evaluation pipelines, and tooling for human-in-the-loop AI

developmentserving top-tier AI labs like Apple, Meta, and Google.

Why join

Collaborate with elite engineers and researchers at the frontier of GenAI

Work on meaningful, production-grade LLM infrastructure

High agency, startup culture with tangible impact

Rapid interview-to-offer cycle (~12 days)

Compensation

Base Salary: $250,000 $350,000 (up to $375K for top-tier candidates)
Equity: Standard 4-year vesting with 1-year cliff
Visa Support: H1B transfers only (no new sponsorships)
Sign-On Bonus: Available

Tech environment

Languages: Python
Frameworks: PyTorch, JAX, TensorFlow
AI Domains: LLMs, RLHF, DPO, multimodal models, alignment
Tooling: Open-source ML stack, preference-based model tuning
System Design: Large-scale ML training/eval/search pipelines

Responsibilities

Develop alignment techniques using RLHF, DPO, preference learning
Build AI-assisted data labeling tools using active learning and adaptive sampling
Implement scalable systems to assess human data and expert quality
Solve optimization problems for expert-task matching at large scale
Ship production and research-grade ML training infrastructure
Collaborate cross-functionally with engineers, researchers, and clients

Publish research, blog posts, and documentation to drive thought leadership

Must-have qualifications

Proven experience shipping LLM-related projects (fine-tuning, eval, retrieval, post-training, etc.)
3+ years in applied ML roles with measurable product impact
Strong Python + DL framework experience (PyTorch, JAX, TensorFlow)
Deep understanding of frontier AI models (LLMs, multimodal, alignment)
Degree in CS, AI, ML, or related field (PhD or MS preferred)
Experience building scalable ML systems (search, evaluation, training pipelines)

High agency and startup mindset: independently driven, fast executor, problem-solver

Preferred qualifications

Contributions to open-source ML tooling or publications (e.g., NeurIPS, ICML, ICLR, ACL)

Experience optimizing task-matching with expert networks

Hands-on work with RLHF, DPO, or human-feedback-based learning

Projects combining research and real-world ML engineering

Required Skills:
•Publications
•Search
•Pipelines
•Hiring
•Salary
•Compensation
•Shipping
•Optimization
•Infrastructure
•Research
•Documentation
•Design
•Python
•Engineering
•Leadership
•Training

Salary Package:
$ 250,000.00 - 350,000.00 (US Dollar)

Apply

Location:: San Francisco
Job Type:: FullTime

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