Senior Post-Training Research Scientist

MakerMaker.AI; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

MakerMaker.AI in San Francisco is seeking an experienced research lead to focus on model post-training efforts. The ideal candidate will drive research efforts on supervised fine-tuning, reinforcement learning, and evaluation models, while collaborating closely with engineering teams.

This role requires a strong foundation in machine learning research, with a minimum of 5 years of experience, especially in post-training methodologies. Familiarity with PyTorch and excellent data curation skills are essential.

Qualifications

• 5+ years of hands-on ML research experience.
• Strong track record of post-training research.
• Experience designing evaluation suites.

Responsibilities

• Lead post-training research and design curation data.
• Build and maintain evaluation suites.
• Run rigorous experiments and write internal findings.
• Identify and address failure modes in models.

Skills

Post-training research

Statistical analysis

Large-scale data curation

Communication skills

Experience with PyTorch

Education

PhD in ML, statistics, CS, or adjacent

Job description

MakerMaker.AI in San Francisco is seeking an experienced research lead to focus on model post-training efforts. The ideal candidate will drive research efforts on supervised fine-tuning, reinforcement learning, and evaluation models, while collaborating closely with engineering teams.

This role requires a strong foundation in machine learning research, with a minimum of 5 years of experience, especially in post-training methodologies. Familiarity with PyTorch and excellent data curation skills are essential.