Senior AI Engineer Healthtech Start Up
Remote
Their product is an AI-powered clinical assistant built to support doctors and patients throughout the care journeyfrom consultations and diagnostics to ongoing monitoring and recovery.
The team blends deep medical expertise with advanced machine learning and product design, creating technology that is safe, reliable, and clinically validated. Were looking for a Senior AI / Machine Learning Engineer to design, build, and scale advanced language and machine learning systems at the core of the companys clinical platform.
Youll work closely with clinicians, product managers, and software engineers to transform complex healthcare challenges into robust, data-driven solutions. This is a hands-on role with broad impacttouching everything from model training and deployment to safety evaluation and infrastructure.
Design and implement NLP and ML systems for clinical and conversational applications
Build and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflows
Ensure safety, performance, and regulatory compliance of ML systems
Contribute to technical strategy, architectural decisions, and mentoring within the ML team
4+ years of hands-on experience in AI, ML, or NLP, ideally in a product setting
~ Strong knowledge of large language models (LLMs), embeddings, fine-tuning, and evaluation methods
~ Advanced Python skills and experience with frameworks like PyTorch, TensorFlow, and HuggingFace
~ Experience building full ML pipelines from data ingestion to deployment
~ Solid software engineering practices including testing, version control, and CI/CD
~ Interest in applying AI to healthcare or other high-impact domains
Experience in healthcare, clinical AI, or medical data
Knowledge of model safety, bias monitoring, or regulatory frameworks
Familiarity with multi-modal ML, retrieval-augmented systems, or knowledge graphs
Production experience with scalable ML systems
Competitive salary and equity options
Flexible, hybrid or remote working options
Collaboration with clinicians, product experts, and ML researchers
Opportunities for professional growth, mentorship, and learning