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About the Role
We are seeking an ML Research Engineer to join a team applying AI/ML in diverse biomedical research projects. This role involves developing, adapting, and translating cutting-edge machine learning methods into tools that accelerate discovery in neurodegeneration and other disease areas, working closely with biologists, imaging scientists, and engineers.
Responsibilities
- Design, implement, and deploy computer vision approaches and reinforcement learning pipelines for high-content cellular imaging data, including adaptive acquisition strategies for automated microscopy.
- Train, fine-tune, and benchmark multimodal models for pathology and cell segmentation across large longitudinal imaging and sequencing datasets, evaluating performance against biologically meaningful metrics.
- Partner with lab members to streamline AI/ML workflows, improve data processing efficiency, and resolve complex computational bottlenecks in ongoing experiments.
- Partner with internal and external collaborators, contribute to manuscripts and presentations, and help lead grant writing efforts by developing computational aims, preliminary data, and methods narratives.
- Translate complex computational concepts into clear, actionable insights for non-technical team members and interdisciplinary collaborators.
Requirements
- Requires Bachelor’s degree in engineering, computer science, physics or related field.
- 4+ years of related experience for individuals with a BS/BA or 2+ years of related experience for individuals with a MS degree.
- Hands-on experience with deep learning tools (PyTorch, JAX, OpenCV, Hugging Face).
- Hands-on experience with MLOps frameworks (Docker, containerization, Computer Systems).
- Hands-on experience with distributed platforms (Slurm, Kubernetes).
- Hands-on experience with software engineering practices.
- Practical experience applying machine learning, deep learning, computer vision, transformer architectures, and reinforcement learning.
- Genuine curiosity for biological discovery and a strong motivation to apply AI to solve complex biological problems.
- Willingness and capacity to seek out new emerging solutions from across computer science.
- Proven ability to explain technical ML concepts to non-technical stakeholders.
- Collaborative, team-first mindset.
Skills
- Computer Vision
- Reinforcement Learning
- Deep Learning
- Machine Learning
- Transformer Architectures
- PyTorch
- JAX
- OpenCV
- Hugging Face
- Docker
- Containerization
- Slurm
- Kubernetes
- Biological Image Analysis
- Microscopy Data Analysis
- Cell Segmentation
- Object Tracking
- Distributed Training
- Foundational Models
Location
- Mission Bay
Work Type
- Full-time
Experience Level
- 2+ years with MS
- 4+ years with BS/BA
Education Level
- Bachelor's degree in engineering, computer science, physics or related field
Salary/Compensations
- $88K - $120K
Benefits
- Competitive salaries
- Comprehensive benefits
- Generous medical, dental, vision
- Retirement plan
- Paid vacation
- Commuter benefits
- Access to free shuttle transportation
About the Company
- The Gladstone Institutes is a leading independent, not-for-profit research organization dedicated to improving human health through groundbreaking biomedical research and education.
- Work spans neuroscience, cardiovascular biology, immunology, and stem cell biology, with a strong emphasis on understanding and treating disease.
- Approximately 600 team members, including world-renowned scientists and biomedical leaders.
- Fosters a collaborative and innovative environment.
- Located in Mission Bay in a state-of-the-art facility.
Equal Opportunity
- Gladstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, veteran status, sexual orientation, or any other non-job related characteristic. We make all employment decisions so as to further this principle of equal employment.