BENGALURU · FULLTIME
AI Research Engineer

Sparkinity
Bengaluru · onsite · Posted 5d ago
Sourced from
Not disclosed2–6 yrsfulltimeBengaluru
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Section · 01
About this role
We're seeking an AI Research Engineer to own model evaluations end-to-end, turning ambiguous capabilities into rigorous, reproducible benchmarks. Working closely with researchers, you will design datasets, analyze model behavior at scale, and directly shape the training lifecycle.
Responsibilities:
- Design rigorous benchmarks for reasoning, coding, and agentic capabilities across C/C++, Rust, embedded systems, hardware specifications, and engineering tasks.
- Develop deterministic evaluators using compilers, emulators, simulators, static analysis, formal verification, and hardware-in-the-loop systems.
- Build distributed infrastructure to run evaluations reliably against models and live training checkpoints.
- Diagnose regressions and anomalous results, separating model failures from issues in prompts, data, evaluators, or infrastructure.
- Design robust metrics, difficulty curricula, contamination-resistant tasks, and experiments around prompting, sampling, and scaffolding.
- Turn evaluation failures into targeted datasets, reward signals, and new training objectives in collaboration with RL researchers.
- Create dashboards, experiment tracking, and evaluation libraries that make model performance easy to understand and trust.
- Own the development of cutting-edge infrastructure from day one.
- Solve complex engineering challenges that directly shape our product roadmap.
- Accelerate your career alongside elite researchers in a fast-paced environment.
- Work closely with a brilliant, collaborative team of industry pioneers.
Requirements:
- Strong Python programming and software engineering fundamentals.
- Experience building benchmarks, evaluation systems, automated graders, research infrastructure, or similar testbeds.
- Strong understanding of LLMs and modern evaluation methodologies.
- Strong analytical and experimental thinking; you care deeply about whether a metric actually measures the intended capability.
- Experience debugging complex systems and investigating unexpected experimental results.
- Strong written and verbal communication.
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Section · 02
Skills
Agentic Ai