AI Research Scientist

Location: Hybrid, based out of the San Francisco or New York City hub; other listed locations include Seattle and New York City, United States

Salary: $199K–$325K, plus equity

Company

WRITER is an enterprise AI platform that uses autonomous agents, large language models, and governed enterprise knowledge to support marketing and revenue teams.

What you will do

• Lead an independent research agenda on large language models and agentic systems from hypothesis through training, evaluation, and production deployment.
• Design large-scale post-training experiments using SFT, RLHF, RLAIF, DPO, GRPO, and emerging alignment techniques to improve reasoning, planning, and tool use.
• Develop evaluation benchmarks and methodologies for complex, real-world enterprise tasks.
• Build scalable data synthesis and curation pipelines, including LLM-as-judge frameworks, synthetic data generation, and adversarial datasets.
• Shape model architecture and training roadmaps in collaboration with research engineering and product teams.
• Publish original research at leading ML and AI venues and mentor researchers and engineers.

Requirements

• 7+ years of hands-on ML research experience, including deep expertise in large language model pre-training and post-training, training models at scale, debugging distributed jobs, and shipping measurable improvements.
• Ph.D. in Computer Science, Machine Learning, NLP, or a related field, or equivalent demonstrated research experience with a strong portfolio of independent published work.
• Expert knowledge of post-training and alignment methods including SFT, RLHF, RLAIF, DPO, GRPO, and related reasoning techniques, applied to production-grade systems.
• Strong command of Python and PyTorch or JAX, with the ability to build and scale training pipelines, evaluation infrastructure, and data synthesis workflows directly.
• Meaningful publication record at competitive ML or AI venues such as NeurIPS, ICLR, ICML, ACL, or EMNLP, demonstrating independent execution of a multi-month research agenda.
• Hands-on experience designing or evaluating agentic systems that plan, reason through multi-step tasks, use tools, and recover from errors.
• Ability to collaborate across research, engineering, and product; communicate complex ideas clearly; challenge conventional approaches; and own projects end to end.
• Open to Senior, Staff, and Senior Staff applicants.

Culture & Benefits

• Full-time US employees receive generous PTO and company holidays.
• Medical, dental, and vision coverage, plus paid parental leave of 16 weeks for all parents.
• Fertility and family planning support, early-detection cancer testing, FSA options, and eligible HSA plans with company contributions.
• Annual wellness and learning and development stipends.
• Company-wide and team off-sites, stock options, and 401(k).