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AI research scientist

WRITER· EPD
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Hybrid (San Francisco, CA), Hybrid (Seattle, WA), Hybrid (New York City, NY)$199k - $325k + equityFull-timePosted 4w ago

About the role

AI research scientist role focused on large language models, agentic reasoning, and system-level capabilities for enterprise AI deployments. Hybrid role based in San Francisco or New York City with opportunities to ship research into production and publish at top venues.

Responsibilities

  • Lead an independent, high-impact research agenda on large language models and agentic systems, owning projects from early hypothesis through model training, evaluation, and production deployment
  • Design and execute large-scale post-training experiments using supervised fine-tuning, reinforcement learning from human feedback (RLHF), RLAIF, DPO, and emerging alignment techniques — with a focus on improving multi-step reasoning, planning, and tool use in enterprise agentic workflows
  • Build novel evaluation benchmarks and methodologies that push beyond existing limitations, establishing rigorous measures for how well models perform on complex, real-world enterprise tasks
  • Develop scalable data synthesis and curation pipelines that generate the high-quality training signal driving model improvement — including LLM-as-judge frameworks, synthetic data generation, and adversarial dataset construction
  • Shape WRITER's model architecture and training roadmap by translating research insights into concrete improvements to enterprise-grade LLMs, working with research engineering and product teams
  • Publish and present original research at NeurIPS, ICLR, ICML, ACL, and others
  • Mentor and uplevel fellow researchers and engineers, setting a high bar for scientific rigor and research culture

Qualifications

  • 7+ years of hands-on ML research experience with deep expertise in large language model pre-training and post-training
  • Ph.D. in Computer Science, Machine Learning, NLP, or related field — or equivalent demonstrated research experience with published work
  • Expert-level knowledge of post-training methods including SFT, RLHF, RLAIF, DPO, GRPO, and related alignment techniques with production-grade applications
  • Strong command of Python and PyTorch (or JAX); ability to build and scale training pipelines, evaluation infrastructure, and data synthesis workflows
  • Meaningful publication record at competitive ML/AI venues (NeurIPS, ICLR, ICML, ACL, EMNLP, or equivalent)
  • Hands-on experience designing or evaluating agentic systems—planning, multi-step reasoning, tool use, and robust recovery from errors
  • Values-aligned with WRITER: Connect, Challenge, Own

Skills

Required:Large language model pre-training and post-trainingPost-training methods (SFT, RLHF, RLAIF, DPO, GRPO)PythonPyTorch (or JAX)Experiment design and evaluation infrastructure

Benefits

  • Generous PTO, plus company holidays
  • Medical, dental, and vision coverage for you and your family
  • Paid parental leave for all parents (16 weeks)
  • Fertility and family planning support
  • Early-detection cancer testing via Galleri
  • Flexible spending account and dependent FSA options
  • Health savings account with company contribution
  • Annual work-life stipends (wellness, learning and development)
  • Company-wide off-sites and team off-sites
  • Competitive compensation, company stock options and 401k
Last updated Sep 24, 2026. Interested? Apply on the company site.

About WRITER

End-to-end agent builder platform that unites IT & business

Eliminate silos with an end-to-end agent builder platform, designed for collaboration—without compromise. Build, activate, and supervise agents.

AI platformsAI research labcollaborative toolsenterprise technologygenerative AIindustry solutionsliquid-ai-recruiting-target
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