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Manager Rlhf Jobs in California (NOW HIRING)

Experience managing distributed workforces or marketplace operations * Exposure to AI data, RLHF, or model evaluation workflows * Background in investment banking, private equity, or management ...

Generative AI Lead

Pleasanton, CA · On-site

$185K/yr

Oversee prompt engineering, fine-tuning, RLHF, and model evaluation practices * Build responsible ... Manage and mentor a team of AI engineers and researchers Requirements * 10+ years of AI/ML or ...

Hands-on experience building datasets for RLHF, DPO, and multi-turn instruction following, including the management of human-labeling workflows and quality gold-sets. • Data Tooling: Mastery of ...

... g., RLHF, prompt evaluation). Scale & Operations: Experience scaling large data operations ... managing complex annotation workflows, and working directly with external data vendors. Technical ...

Training Specialist

San Francisco, CA · On-site

$60K - $125K/yr

Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label ... You'll own complex, high-stakes data programs end-to-end, managing expert workforces, navigating ...

... RLHF, annotation, model evaluation) * STEM background or strong technical fluency * Python & REACT working knowledge * Experience managing distributed contributor workforces at scale * Background in ...

LLM Dataset Engineer

San Francisco, CA · On-site

$155K - $210K/yr

Hands-on experience building datasets for RLHF, DPO, and multi-turn instruction following , including the management of human-labeling workflows and quality gold-sets. * Data Tooling: Mastery of data ...

Senior Data Product Manager

San Jose, CA · On-site

$148K - $195K/yr

What You'll Need to Succeed * 5+ years of product management experience, including building and ... for RLHF, and model evaluations. * Practical understanding of machine learning and statistical ...

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Member of Technical Staff - Code Generation

Embedding VC

San Mateo, CA • On-site

Full-time

Re-posted 14 days ago


Job description

Introducing Moonlake, AI for creating real-time interactive content
Mission: As an applied AI Research Engineer: Code agents (post training + systems)
Scope of Work:
- Agentic systems design: Tool catalogs, function calling, program synthesis/repair loops, ReAct/Reflexion/ToT/LangGraph-style control, self-verification, sandboxed execution.
- Evaluation mindset: Build task suites for multi-step coding Full-stack LLM engineer: Prompt libraries, routing, retrieval, KV-cache management, streaming, telemetry.
- Security & isolation: Docker/firejail, network egress controls, secrets hygiene, dependency pinning, supply-chain sanity.
- Strong post-training: Supervised fine-tuning + preference/trace RL (DPO/RLAIF/RLHF), dataset curation, reward shaping, safety filters.
Tech signals:
- Has shipped agents that pass real repos' test suites end-to-end.
- Has published papers in agentic systems/ code gen Contributions to agent frameworks or OSS evals (LangGraph/AutoGen/Guidance/LEAP, SWE-bench variants, EvalPlus).
- Built datasets from execution traces; can show improvements from data > params.
We are committed to being an on-site, in-person team currently based in San Mateo