Research Engineer II (Up to 40LPA)

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗷𝗼𝗯This role is for one of our client companies — a VC-backed Construction Technology (ConTech) startup that has raised $49.7M USD in funding.𝗦𝗮𝗹𝗮𝗿𝘆: Up to 40LPAApply once and, if selected, get access to up to 20 remote and onsite interview opportunities.🚀 𝗪𝗵𝗮𝘁 𝗪𝗲'𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴CodeRound 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.🚀 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 - 𝗜𝗜 (3+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲)Looking for a Research Engineer-II to work on cutting-edge AI solutions focused on Computer Vision, Deep Learning, NLP, and multimodal models.🧩 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼Contribute to research and development initiatives focused on Computer Vision, Image Processing, and Deep Learning applied to construction-related dataBuild and optimize models for extracting insights from blueprints, scanned PDFs, and SVG filesContribute development of multi-modal models that integrate vision with language-based features (NLP/LLMs)Support the end-to-end lifecycle of AI-based solutions from prototyping and experimentation to deployment in productionFollow best data science and machine learning practices, including data-centric development, experiment tracking, model validation, and reproducibilityCollaborate with software engineers, ML researchers, and product teams to convert research ideas into real-world applicationsWrite clean, scalable, and production-ready code using Python and frameworks like PyTorch, TensorFlow, or HuggingFaceStay updated with the latest research in computer vision and machine learning and evaluate applicability to industry challenges✅ 𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂1-3 years of experience in applied AI/ML and research with a strong focus on Computer Vision and Deep LearningProficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace TransformersSolid understanding of image processing, visual document understanding, and feature extraction from visual dataStrong understanding of Deep Learning and Machine Learning conceptsExperience building and optimizing models for extracting insights from documents such as blueprints, scanned PDFs, and SVG filesExperience with model validation, experiment tracking, reproducibility, and data-centric development✨ 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀?Own meaningful product decisions from day one at a funded startupWork with a sharp team shipping fast in a high-growth environmentAccelerate your career with outsized responsibility and visibilityBuild something that scales — not slide decks