ML Research Engineer (Up to 35LPA)

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗷𝗼𝗯

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.

𝗦𝗮𝗹𝗮𝗿𝘆: Up to 35LPA

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

🚀 𝗪𝗵𝗮𝘁 𝗪𝗲'𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴

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.

🚀 𝗠𝗟 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (3+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲)

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.

🧩 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼

• 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.

✅ 𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂

• 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.

✨ 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀?

• 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 environment.
• Collaborate with elite engineers and researchers on high impact challenges.