Join a pioneering team dedicated to ensuring advanced AI systems are developed and deployed safely. This role bridges theoretical AI safety research with practical implementation, building critical infrastructure and conducting cutting-edge experiments on frontier AI models. Make a significant impact on the future of AI alignment, interpretability, and robustness.
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Research Engineer - AI Safety at fast-growing AI safety research lab
Are you passionate about shaping the future of AI responsibly? Join a pioneering team as a Research Engineer, bridging theoretical AI safety research with practical implementation. You'll build critical infrastructure and conduct cutting-edge experiments on frontier AI models, making a profound impact on AI alignment, interpretability, and robustness. This is your chance to contribute to global AI safety while working with state-of-the-art technology.
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Location
Bangalore, India
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Fast-growing AI safety research lab
What you will do
- Build and maintain robust research infrastructure, including evaluation frameworks and automated testing pipelines for frontier models.
- Design and execute scientific experiments to test hypotheses about AI safety, alignment, interpretability, or robustness.
- Collaborate closely with research scientists, ML engineers, and safety evaluators to address pressing AI challenges.
Who this is a fit for
- 4-6 years of professional experience in software engineering or ML engineering with strong Python proficiency.
- Hands-on experience with modern ML frameworks (PyTorch, JAX) and LLM-based systems, including agent scaffolding.
- Familiarity with AI safety concepts (alignment, interpretability, robustness) and proven ability to develop research infrastructure.
Why this role is remarkable
- Make a meaningful impact on the future of AI safety by working with state-of-the-art models and contributing to global research.
- Join a well-funded organization backed by top-tier VCs, focused on critical, cutting-edge AI research.
- Opportunity to bridge theoretical insights with practical implementations, developing crucial infrastructure for AI safety.
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