
Member of Technical Staff, Applied AI
Posted Jul 27

Posted Jul 27
This is a fully remote position, open to applicants in India.
• Equip the product with instrumentation so that every investigation, particularly those corrected by humans, transforms into structured training data.
• Create the evaluation harness to ensure diagnostic accuracy; root-cause correctness must be quantified rather than estimated.
• Condense costly deep-investigation processes into compact, finely-tuned models that maintain quality standards at a significantly reduced cost.
• Implement inference capabilities, including on-premise and air-gapped SLMs, for clients whose logs must remain within their environment.
• Over 10 years of applicable engineering experience.
• Experience with production ML systems from start to finish: data pipelines, fine-tuning, evaluation, and deployment.
• Practical experience in fine-tuning and distillation using open-weight models (Qwen, Llama-class).
• Design of evaluation harnesses for tasks sensitive to correctness, including trajectory-level evaluations for agentic and tool-use systems.
• Deployment and scaling of inference (vLLM or similar) on managed platforms.
• Skilled in daily operations with CLI-based AI coding tools such as Claude Code (or an equivalent).
• Remote work option (4-hour overlap with Pacific or IST; preference for Seattle or Bengaluru on-site).
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