MachinifyUnited StatesDevelops state-of-the-art VQA systems for medical records using advanced NLP and CV techniques to achieve expert-level accuracy in document analysis. Requires deep expertise in NLP/CV, strong software engineering, and ability to work with noisy data in healthcare domain.
Expertise in NLP and/or Computer Vision: You stay up to date with the latest research and developments in these fast-evolving fields.
Strong Software Engineering Skills: You write clean, production-quality code and are comfortable building scalable solutions.
Conducts advanced research in AI, machine learning, or related fields, developing novel algorithms and publishing results. Requires PhD and strong publication record.
Develop post-training recipes and build enterprise data agents for autonomous planning, code generation, and multi-step workflows. Requires 2+ years applied research experience shipping prototypes, plus expertise in LLMs, agents, and RL.
Leads end-to-end applied ML research in NLP, LLMs, retrieval, and multimodal models for healthcare AI, driving from experimentation to production deployment with rigorous evaluation and clinician collaboration. Requires 7+ years experience, MS/PhD, and depth in ML areas like PyTorch tooling.
Develop and scale generative models like diffusion and flow-matching for autonomous driving plan generation. Collaborate across teams to productize models for real-world deployment, requiring PhD/MSc + 3+ years in generative modeling and strong Python/C++ skills.
Leads research in computer vision, multimodal understanding, and visual generation. Develops novel models and methodologies, translates research to production, and mentors teams. Requires PhD preferred, 8+ years experience, and expertise in PyTorch, TensorFlow, transformers.