Member of Technical Staff, Post-Training (India)

📋 Description

• Design post-training systems and methodologies for frontier models, including supervised
• Translate open-ended research or partner needs into clear hypotheses, experiments, evaluation
• Build and improve evaluation frameworks, benchmarks, training environments, data-processing
• Run fast, rigorous iteration loops: prototype, evaluate, interpret results, and turn learnings into
• Partner directly with AI researchers and domain experts to develop high-signal data, feedback, and
• Identify repeatable patterns across engagements and productize them into reusable software and

🎯 Requirements

• 3+ years of demonstrated strength in post-training, fine-tuning, or model-evaluation work. Relevant
• Strong Python skills and the ability to write clean, efficient, scalable software.
• Hands-on experience with modern ML tooling, particularly PyTorch and large-scale data, training, or
• Sound experimental judgment: you can form hypotheses, choose meaningful metrics, diagnose failures
• Experience designing systems—not only implementing specifications—including the ability to make
• Comfort operating in an ambiguous, fast-moving environment with substantial ownership.

🎁 Benefits

• Generous Equity Grant vested over 4 years
• Housing Bonus: 1.3 Lakhs spread throughout the first year
• Well Defined Performance Bonus ranging between 10 - 100% of base
• Medical Insurance Coverage
• Food credit for every in person day.