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This role is for one of our client companies — a VC-backed Software Development, AI Infrastructure, Automotive, and Telecommunications startup that has raised $2M USD in funding.

??????: Up to 35LPA

Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.

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CodeRound AI matches the top 5% tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.

Top-tier product startups across the US, UK, EU, UAE, and India have hired top engineers through CodeRound.

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We are hiring an ML Research Engineer to design and scale pipelines that generate, execute, and validate synthetic training data for safety-critical embedded systems. Join us to solve data scarcity challenges and build advanced evaluation tooling that directly improves model performance.

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- Design and build pipelines that generate, execute, and validate synthetic training data—code and specifications alike—using compilers, test harnesses, and formal verification tools, not just LLM-judge scoring.
- Build and maintain reward models / verifiers for RL post-training (e.g. GRPO) on code and spec-generation tasks.
- Own data quality end to end,



including decontamination, filtering, coverage analysis, and dataset documentation.
- Work closely with the post-training team to close the loop between data gaps and model failures.
- Contribute to internal tooling for large-scale synthetic data generation and evaluation.

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- Experience building synthetic or instruction-tuning datasets for code or structured technical documents (specs, requirements), with a named, shipped dataset, tool, or paper you can point to.
- Direct experience with execution-based, compiler-based, or test-based data validation.
- Familiarity with RL post-training methods (e.g. GRPO, PPO, DPO) and/or SFT data pipelines.
- Strong software engineering fundamentals.
- Comfortable in one or more systems languages (C, C++, Rust, or similar) and at least one scripting language.

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- Own the deployment of cutting edge generative models from day one.
- Directly shape the future of autonomous systems and global infrastructure.
- Accelerate your career in a fast paced seed stage setting.
- Collaborate with elite engineers and researchers on high impact challenges.

📌 ML Research Engineer (Up to 35LPA) (India)
🏢 CodeRound AI
📍 India