Writer

1 month ago

AI research scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Lead a high-impact research agenda focused on large language models, agentic reasoning, and system-level capabilities for enterprise AI. Drive post-training methods, evaluation benchmarks, data pipelines, and integration with product teams to ship scalable AI across enterprises.

Location: San Francisco, New York, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key 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, RLHF, RLAIF, DPO, and emerging alignment techniques to improve multi-step reasoning, planning, and tool use in enterprise agentic workflows.
•Build novel evaluation benchmarks and methodologies to measure performance on complex, real-world enterprise tasks.
•Develop scalable data synthesis and curation pipelines that generate high-quality training signal, including LLM-as-judge frameworks and adversarial dataset construction.
•Shape model architecture and training roadmap by translating research insights into concrete improvements, collaborating with research engineering and product teams.

Pay and Benefits

Salary: USD 234,300 - 296,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveMedicalDentalVisionParental Leave401kEquityLearning Stipend

Key Requirements

•7+ years of hands-on ML research experience, with deep expertise in large language model pre-training and post-training.
•Strong command of Python and PyTorch (or JAX), with the ability to build and scale training pipelines, evaluation infrastructure, and data synthesis workflows.
•A meaningful publication record at competitive ML/AI venues (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP).
•Hands-on experience designing or evaluating agentic systems — models that plan, reason through multi-step tasks, use tools, and recover from errors.

Experience:7+ yearsEnterprise AIMachine learningResearch

Education:PhD / Doctorate

Skills:CommunicationCollaborationMentoringProblem-solving

Languages:English

Tech Stack:PythonPyTorchJAXRLHFRLAIFDPOSFTLLM

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

Website LinkedIn

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Writer

1 month ago

AI research scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: San Francisco, New York, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key 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, RLHF, RLAIF, DPO, and emerging alignment techniques to improve multi-step reasoning, planning, and tool use in enterprise agentic workflows.
•Build novel evaluation benchmarks and methodologies to measure performance on complex, real-world enterprise tasks.
•Develop scalable data synthesis and curation pipelines that generate high-quality training signal, including LLM-as-judge frameworks and adversarial dataset construction.
•Shape model architecture and training roadmap by translating research insights into concrete improvements, collaborating with research engineering and product teams.

Pay and Benefits

Salary: USD 234,300 - 296,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveMedicalDentalVisionParental Leave401kEquityLearning Stipend

Key Requirements

•7+ years of hands-on ML research experience, with deep expertise in large language model pre-training and post-training.
•Strong command of Python and PyTorch (or JAX), with the ability to build and scale training pipelines, evaluation infrastructure, and data synthesis workflows.
•A meaningful publication record at competitive ML/AI venues (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP).
•Hands-on experience designing or evaluating agentic systems — models that plan, reason through multi-step tasks, use tools, and recover from errors.

Experience:7+ yearsEnterprise AIMachine learningResearch

Education:PhD / Doctorate

Skills:CommunicationCollaborationMentoringProblem-solving

Languages:English

Tech Stack:PythonPyTorchJAXRLHFRLAIFDPOSFTLLM

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

Website LinkedIn