Work across multiple different projects to improve LLM performance on code: sample projects

• Leading and delivering end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants.
• Collaborate with the team to identify edge cases and ambiguities in model behavior.
• Review and compare 3–4 model-generated code responses per task using a structured ranking system.
• Evaluate code diffs for correctness, code quality, style, and efficiency. Provide clear, detailed rationales explaining the reasoning behind each ranking decision.

Required Skills Experience

• Several years of software engineering experience, including 2+ continuous years at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research).
• Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools.
• Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
• Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency.
• Excellent oral and written communication skills for clear, structured evaluation rationales.

Engagement Details

• Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required).
• Type: Contractor (no medical/paid leave).
• Duration: 1 month potential extensions based on performance and fit.