AI research scientist

Writer
San Francisco, New York, Seattle
Workplace: HybridFull timeUSD 199,000 - 325,000 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: phdSkills: ["Collaboration","Communication","Problem-solving","Ownership","Mentoring"]

Drive an independent, high-impact AI research agenda focused on large language models and agentic systems for enterprise deployment. Lead post-training and alignment work (SFT, RLHF/RLAIF, DPO/GRPO), build evaluation benchmarks for complex real-world tasks, and create training data pipelines using LLM-as-judge and synthetic/adversarial data. Translate research into production improvements and represent the team through publications and mentorship.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Writer
Writer
17 hours ago

AI research scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Drive an independent, high-impact AI research agenda focused on large language models and agentic systems for enterprise deployment. Lead post-training and alignment work (SFT, RLHF/RLAIF, DPO/GRPO), build evaluation benchmarks for complex real-world tasks, and create training data pipelines using LLM-as-judge and synthetic/adversarial data. Translate research into production improvements and represent the team through publications and mentorship.
Location: San Francisco, New York, Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead an independent, high-impact research agenda on large language models and agentic systems, owning work from hypothesis through training, evaluation, and production deployment.
  • •Design and execute large-scale post-training experiments using SFT, RLHF, RLAIF, DPO, and emerging alignment techniques to improve multi-step reasoning, planning, and tool use.
  • •Build novel evaluation benchmarks and methodologies for measuring model performance on complex enterprise tasks.
  • •Develop scalable data synthesis and curation pipelines, including LLM-as-judge frameworks, synthetic data generation, and adversarial dataset construction.
  • •Translate research insights into improvements to enterprise-grade LLMs, working with research engineering and product teams, and publish/present at top-tier ML venues while mentoring the team.

Pay and Benefits

Salary: USD 199,000 - 325,000 annually
Equity and Bonus:Equity
Perks:Paid LeaveHealth InsuranceDentalVisionParental Leave401kLearning BudgetWellness Stipend

Key Requirements

  • •7+ years of hands-on ML research experience with large language model pre-training and post-training, including debugging distributed jobs and shipping measurable improvements.
  • •A Ph.D. in Computer Science, Machine Learning, NLP, or a related field (or equivalent research experience) with a strong portfolio of independent, published work.
  • •Expert-level knowledge of post-training methods including SFT, RLHF, RLAIF, DPO, GRPO, and related alignment and reasoning techniques in real production systems.
  • •Strong command of Python and PyTorch (or JAX) to build and scale training pipelines, evaluation infrastructure, and data synthesis workflows.
  • •A meaningful publication record at venues such as NeurIPS, ICLR, ICML, ACL, or EMNLP, and experience designing/evaluating agentic systems that plan, reason multi-step tasks, use tools, and recover from errors.
Experience:7+ yearsMachine learning researchLarge language modelsNLPGenerative AIEnterprise AIReinforcement learningAgentic systems
Education:PhD / Doctorate in Computer Science, Machine Learning, NLP, or related field
Skills:CollaborationCommunicationProblem-solvingOwnershipMentoring
Tech Stack:PythonPyTorchJAXLLMSFTRLHFRLAIFDPOGRPOLLM-as-judgeSynthetic dataAdversarial dataset constructionNeurIPSICLRICMLACLEMNLPEvaluation benchmarksReinforcement learning

Company Brief

Writer
Provides an AI writing platform for enterprises that helps teams create on-brand, high-quality content at scale using customizable style guides, real-time suggestions, and governance controls.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series B
Headquarters: New York, United States
Founded: 2019
WebsiteLinkedIn