Machine Learning Research Engineer
13 hours ago
We are seeking a highly skilled Research Engineer to join our team at Scale AI. As a Research Engineer, you will play a key role in designing and developing next-generation data pipelines and supervision strategies for large language models.
Key Responsibilities:
- Collaborate with researchers from top foundation model labs to design new strategies and data pipelines involving human supervision
- Partner with Scale's Data Engine team to bring research and data pipeline ideas to life
- Shape the roadmap for post-training data use in large language models
- Conduct experiments for new research ideas in post-training
- Accelerate the growth of Scale's Generative AI Data Engine business through deep technical partnership with customers
Requirements:
- At least 3-5 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
Preferred Qualifications:
- 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
- Published research in machine learning at major conferences and/or journals
- Strong high-level programming skills and familiarity with at least one deep learning framework
- Previous experience in a customer-facing role
Compensation and Benefits:
Scale AI offers competitive compensation packages, including base salary, equity, and benefits. The base salary range for this full-time position in San Francisco is $176,000-$255,000 USD.
About Scale AI:
At Scale AI, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status.
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