About the role
Staff AI Research Scientist
About Writer
Writer is an enterprise AI platform designed to help marketing and revenue teams deploy autonomous agents across their customer journey. The company's technology combines large language models with an "Enterprise Brain" that integrates brand, product, and company knowledge while maintaining compliance and governance standards. Writer counts three of the top five US banks, two of the five largest global CPG companies, and four of the top five US healthcare insurers among its customers. Founded in 2020, the company has raised funding from Insight Partners, ICONIQ, Radical Ventures, Premji Invest, Balderton, B Capital, Salesforce Ventures, Adobe Ventures, Accenture, Citi Ventures, and IBM Ventures.
Writer is hiring AI research scientists during a period of rapid growth in enterprise AI adoption. As companies move from pilot projects to production deployments, Writer's models power some of the largest-scale enterprise AI systems in use today. This is an exceptionally competitive moment in AI research hiring; the field is moving faster than the available talent pool, creating opportunities for experienced researchers to shape the direction of enterprise AI infrastructure.
What you'll do
- Lead independent research initiatives on large language models and agentic systems, managing projects from hypothesis development through model training, evaluation, and deployment into production
- Design and run large-scale post-training experiments using supervised fine-tuning, reinforcement learning from human feedback, RLAIF, DPO, and other alignment techniques, with emphasis on multi-step reasoning and tool use in enterprise workflows
- Create new evaluation benchmarks and methodologies that assess model performance on complex real-world enterprise tasks, moving beyond existing evaluation frameworks
- Build data synthesis and curation pipelines to generate high-quality training signals, including LLM-as-judge systems, synthetic data generation, and adversarial dataset construction
- Translate research insights into concrete improvements to Writer's enterprise-grade language models, collaborating with research engineering and product teams on the model architecture and training roadmap
- Publish original research at premier venues including NeurIPS, ICLR, ICML, and ACL, establishing Writer as a thought leader in AI research
- Mentor researchers and engineers on the team, setting high standards for scientific rigor and experimental methodology
What you'll bring
- Seven or more years of hands-on machine learning research experience, including deep expertise in large language model pre-training and post-training at scale
- Ph.D. in Computer Science, Machine Learning, NLP, or related discipline, or equivalent demonstrated research experience with a portfolio of published, independent work
- Expert knowledge of post-training methods including SFT, RLHF, RLAIF, DPO, and GRPO, with proven application to production systems
- Strong proficiency in Python and PyTorch or JAX, with the engineering capability to build and scale training pipelines, evaluation infrastructure, and data workflows independently
- Substantial publication record at competitive venues such as NeurIPS, ICLR, ICML, ACL, or EMNLP, demonstrating your ability to originate research ideas and execute multi-month agendas
- Hands-on experience designing or evaluating agentic systems that perform planning, multi-step reasoning, tool use, and error recovery
- Collaborative approach across research, engineering, and product teams with the ability to communicate complex concepts to both technical and non-technical stakeholders
What they offer
- Generous paid time off plus company holidays
- Medical, dental, and vision coverage for you and your family
- Sixteen weeks of paid parental leave for all parents
Pay, location & hours
$234K–384K / year. Based in San Francisco, CA (Hybrid).
About Writer
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