Machine Learning Research Scientist
11 hours ago
Scale AI is working with top foundation model labs to accelerate progress in machine learning research. As a Research Engineer for Large Language Models, you will design next-generation data pipelines and supervision strategies in close collaboration with our customers to accelerate progress in Generative AI. The ideal candidate is highly technical and well-versed in recent research progress for LLMs, while also having great communication skills, customer obsession, and passion for evangelizing new research methods.
Key Responsibilities:- Collaborate closely with researchers from top foundation model labs to design new strategies and data pipelines involving human supervision.
- Partner internally with Scale AI's Data Engine team to bring your research and data pipeline ideas to life.
- Shape the roadmap for how post-training data is used to supervise the next generation of large language models.
- Conduct experiments for new research ideas in post-training, leveraging your unique vantage point as a technical partner to several labs.
- Accelerate the meteoric growth of Scale AI's Generative AI Data Engine business through deep technical partnership with our customers.
- At least 3 to 5 years of model training and/or deployment experience in a research or production environment.
- Strong skills in LLMs and deep learning.
- Excellent written and verbal communication skills.
- Experience in dealing with large-scale AI problems, ideally in the generative-AI field.
- Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. detection, question-answering, captioning, etc.
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, ICLR, etc.) and/or journals.
- Strong high-level programming skills (e.g., Python) and familiarity with at least one deep learning framework.
- Previous experience in a customer-facing role.
- Comprehensive health, dental, and vision coverage.
- Retirement benefits.
- A learning and development stipend.
- Generous PTO.
- A commuter stipend.
The base salary range for this full-time position in the location of San Francisco is: $176,000—$255,000 USD.
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