10 дней назад
Research Scientist (AI)
250 000 - 450 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Scientist (AI) (Computer Vision/Multimodal Learning): Designing datasets, evaluations, and reinforcement learning environments for frontier vision-language, multimodal, robotics, and coding models with an accent on failure analysis, benchmark development, and empirical data validation. Focus on fine-tuning and ablation studies, translating model gaps into data specifications, and contributing to open models such as RF-DETR.
Location: In-person in San Francisco, United States
Salary: $250,000–$450,000 base salary per year, plus equity and performance-based bonus opportunities.
Company
builds artificial intelligence tools, datasets, benchmarks, and open models for computer vision and real-world enterprise applications.
What you will do
- Design datasets, evaluations, and reinforcement learning environments for frontier vision-language, multimodal, robotics, and coding models.
- Run structured failure analyses on partner laboratories' models using real-world task distributions.
- Translate model gaps into remediation specifications that define the data needed to close each gap.
- Lead the research behind new benchmarks, including extensions of RF100-VL.
- Validate data quality through fine-tuning, ablation studies, and empirical measurement.
- Contribute to open models such as RF-DETR and collaborate directly with research scientists at frontier laboratories.
Requirements
- PhD or equivalent research experience in computer vision, multimodal learning, machine learning, or a related field.
- Track record of published work or shipped research.
- Hands-on experience with post-training, including fine-tuning, reinforcement learning, evaluation design, or data curation for large models.
- Strong engineering fundamentals and the ability to write code for experiments that can be productionized.
- Clear written communication for explaining model failure modes to researchers and data specifications to annotators.
- Ability to work in person in San Francisco.
Nice to have
- Experience at a frontier laboratory or as a data or evaluation partner to one.
- Experience with vision-language models, robotics learning, or agentic coding evaluations.
Culture & Benefits
- Fully distributed company with hubs in San Francisco, New York City, Singapore, and Brazil; Labs operates in person in San Francisco.
- Full-company retreats twice per year.
- Stipends for travel, productivity, tools, meals, and office expenses.
- Up to 100% of health insurance costs covered.
- Unlimited paid time off with an annual two-week minimum and 12 weeks of parental leave.
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