REMOTEFULLTIME
ML Research Engineer (Up to 50LPA)
CodeRound AI
Remote · remote · Posted 11d ago
Your match
Sign in to see your match score, skill gaps & tailored resume.
Section · 01
About this role
𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗷𝗼𝗯 This role is for one of our client companies — a VC-backed Technology, Information and Internet startup that has raised $5M USD in funding. 𝗦𝗮𝗹𝗮𝗿𝘆: Up to 50LPA 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 looking for an ML Research Engineer to build advanced, source-grounded AI systems that reason over complex documents. Join us to bridge the gap between cutting-edge research and production-grade agentic workflows.
𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼
- Research, prototype, and deploy AI systems for document understanding, knowledge extraction, and reasoning
- Build AI agents for summarization, extraction, validation, verification, and content generation
- Design, implement, and optimize retrieval systems and production-grade RAG pipelines
- Develop source-grounded and citation-aware AI workflows
- Build orchestration systems for complex multi-step agentic reasoning tasks
- Evaluate emerging research and translate promising techniques into production systems
- Develop APIs and internal AI services using Python and modern backend frameworks
- Design evaluation frameworks to measure accuracy, grounding, reliability, and system performance
𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂
- 3-8 years of experience in Machine Learning, NLP, Information Retrieval, Applied AI, or related fields
- Strong Python programming and software engineering fundamentals
- Authored, co-authored, or significantly contributed to research papers, research projects, or open-source work in AI/ML
- Hands-on experience building production-grade LLM applications
- Strong experience with RAG, embeddings, retrieval systems, and evaluation methodologies
- Experience with agentic workflows and orchestration frameworks such as LangGraph, LangChain, or similar
𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀?
- Own your projects from day one and shape the product vision.
- Make meaningful contributions that directly influence our core research roadmap.
- Accelerate your career through hands-on challenges in a fast-paced environment.
- Collaborate with elite peers who push the boundaries of current innovation.
Sourced from linkedin · view original
Let the agent run this one for you.
Tailored resume, auto-apply, and referral lookup — in under 2 minutes.
Section · 02
Skills
Section · Company
About Coderound Ai
CodeRound AI
About
Employee ratings
1 reviews
Culture
1.0
Career growth
1.0
Work-life
1.0
Find them on