Founding Machine Learning Engineer
2 days ago
What we're building
- CodeRound AI matches top 5% tech talent to fastest growing VC funded AI startups in Silicon Valley and India.
- Candidates apply once and get UPTO 20 remote as well as onsite interview opportunities IF selected
- Top-tier product startups in US, UAE & India have hired top engineers & ML folk using CodeRound
What you'll work on
- Build and optimize ML pipelines that score coding tasks, system design responses, and AI model outputs
- Own our LLM workflows — prompt design, evaluation, RAG, embeddings, vector DB tuning.
- Fine-tune models for answer quality, semantic similarity, ranking, and scoring consistency.
- Work with product + engineering to launch real-time interview evaluation features.
- Build feedback loops that improve models based on user behavior and reviewer insights.
- Make our AI faster, smarter, and more trustworthy — at scale.
Why this is exciting
- You'll own the ML backbone of a real-world, high-usage AI product — not a lab prototype.
- You'll work on unique challenges: scoring freeform answers, ranking system design responses, and modeling hiring success.
- You'll ship fast and see your models directly impact hiring decisions at India's top startups.
- You'll work with a small, experienced team of builders and founders
You'll thrive here if you:
- Have 4–8 years of experience in machine learning, preferably in NLP or applied LLM systems.
- Are comfortable working across Python, FastAPI, and common AI libraries (HuggingFace, LangChain, etc.).
- Know how to evaluate LLM outputs — and build metrics that reflect quality and truthfulness.
- Can balance research quality with shipping urgency — and iterate quickly with real users.
- Are hands-on with vector search, embeddings, model fine-tuning, and prompt engineering.
Bonus if you:
- Have worked with OpenAI, Claude, Mistral, or custom LLMs in production.
- Have ideas on how to score soft skills, communication, or design thinking using AI.
- Want to grow into a founding AI lead role as the company scales.
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