Mumbai (on-site) · Founding team · Full time

About Yamly

Yamly is building an Engineering World Model: a governed, evidence-backed picture of how a software organisation works. Engineers and AI agents rely on it to make safer changes. We’re seed-stage, led by founders who have built and exited before.

The role

You’ll own the science behind our product, from setting the research agenda to shipping models that customers depend on, measured on their own systems.

You’ll work on

- Prediction and risk models built for sparse, messy real-world data
- Causal inference and attribution
- Representation learning and fine-tuning of small language models
- Evaluation, benchmarking and calibration
- Growing and mentoring the science team

You bring

- 8+ years in applied ML or data science,



with senior ownership of models that shipped to production
- Depth in at least two of: causal inference, Bayesian or statistical modelling, representation learning, LLM fine-tuning, reinforcement learning
- Strong statistical judgment, and a habit of being honest about uncertainty
- Production-quality Python
- Bonus: experience with developer tools, SRE or software engineering data

Why join

You’ll work on hard, open problems with founding-team ownership and meaningful equity.

- Apply: send your CV and one piece of work you’re proud of to [email protected].

📌 Principal Data Scientist (Mumbai)
🏢 Yamly
📍 Mumbai