Senior Computer Vision Scientist
Harnham
About the role
Senior Computer Vision Scientist
Location: Fully Remote – HQ in New York, New York
Compensation: $190,000‑210,000 base salary + equity
THE COMPANY
Harnham is partnering with an innovative health‑tech startup building patient‑focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data‑driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large‑scale infrastructure and diverse technologies.
THE ROLE
- You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals.
- You will report directly to senior leadership and work closely on technical direction.
- Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications.
- You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling.
- You will play an integral role of building out the AI team and scaling out its product.
- Act as a thought leader role for AI across the business, mentoring junior team members.
YOUR SKILLS AND EXPERIENCE
- 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production‑grade models with NLP and LLMs ideally with voice, image and multi‑modal systems.
- Experience working in a scaling startup is preferred.
- Expertise in Python (TensorFlow, PyTorch) for production‑grade work.
- Commercial experience building novel AI platforms with large datasets.
- History of working with and managing real‑time AI applications in production settings.
- Cloud experience in AWS, Azure or GCP.
- DevOps exposure with CI/CD pipelines preferred.
- History of working on models from concept to production / end‑to‑end / 0‑1.
- Applied research background in a commercial setting required.
- Publication and/or patent history highly preferred.
- Experience in settings wearing multiple hats.
- Domain experience in healthcare, health‑tech, med‑tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred.
- History of partnering with non‑technical stakeholders required.
- Experience owning projects.
- PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar.
THE BENEFITS
- A competitive base salary of $190,000‑210,000 + benefits + equity.
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
- Machine Learning
- AI
- Artificial Intelligence
- Technology
- Applied Research
- Health‑tech
- Healthcare
- Medical
- Startup
- Deployment
- Production
- LLMs
- LLM
- Large Language Models
- GenAI
- Gen AI
- Generative AI
- Voice Bots
- Chatbots
- Natural Language Processing
- EHR
- Electronic Health
- Electronic Medical
- HEOR
- Claims Data
- Patient
- Hospital
- Docker
- Kubernetes
- Weights & Biases
- PyTorch
- TensorFlow
- Publications
- Patents
- Computer Vision
- Medical Imaging
- MRI
- Multimodal
Requirements
- 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
- Experience working in a scaling startup is preferred
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel AI platforms with large datasets
- History of working with and managing real-time AI applications in production settings
- Cloud experience in AWS, Azure or GCP
- DevOps exposure with CI/CD pipelines preferred
- History of working on models from concept to production / end-to-end / 0-1
- Applied research background in a commercial setting required
- Publication and/or patent history highly preferred
- Experience in settings wearing multiple hats
- Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
- History of partnering with non-technical stakeholders required
- Experience owning projects
Responsibilities
- Responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
- Report directly to senior leadership and work closely on technical direction
- Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
- Directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
- Play an integral role of building out the AI team and scaling out its product
- Act as a thought leader role for AI across the business, mentoring junior team members
Skills
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