Senior Biomedical ML Engineer

The J David Gladstone Institutes; United States; On-site; USD 88,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Excellent benefits

Healthy work-life balance

Job summary

The Gladstone Institutes in Mission Bay seeks a ML Research Engineer to join a cross-disciplinary team of computer scientists, biologists, and engineers. You will translate cutting-edge ML methods into practical tools that accelerate neurodegeneration research and enable smarter experimentation.

You will develop and deploy CV and RL pipelines, train multimodal models, and help scale cell image analysis and the lab's intelligent live-cell imaging platform.

Qualifications

• 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), MLOps frameworks (Docker, containerization, Computer Systems) and distributed platforms (Slurm, Kubernetes) and software engineering practices
• Domain Expertise: Practical experience applying machine learning, deep learning, computer vision, transformer architectures, and reinforcement learning.
• Interdisciplinary Drive and Leadership Skills: Genuine curiosity for biological discovery and a strong motivation to apply AI to solve complex biological problems, and a willingness and capacity to seek out new emerging solutions from across computer science.
• Communication & Teamwork: Proven ability to explain technical ML concepts to non-technical stakeholders, with a collaborative, team-first mindset.

Responsibilities

• Deploy Computer Vision and RL Pipelines: 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, cell segmentation across large longitudinal imaging, sequencing datasets, and evaluate performance against biologically meaningful metrics.
• Accelerate Computational Research: Partner with lab members to streamline AI/ML workflows, improve data processing efficiency, and resolve complex computational bottlenecks in ongoing experiments.
• Drive Collaborative & Grant Initiatives: Partner with internal and external collaborators, contribute to manuscripts and presentations, and help lead grant writing efforts by developing the computational aims, preliminary data, and methods narratives that drive successful proposals.
• Demystify AI for Biology: Translate complex computational concepts into clear, actionable insights for non-technical team members and interdisciplinary collaborators.

Skills

Machine Learning

Computer Vision

Reinforcement Learning

Biological data analysis

Education

Bachelor's degree in engineering, computer science, physics or related field

4+ years of related experience (BS/BA) or 2+ years (MS)

Tools

PyTorch

JAX

OpenCV

Hugging Face

Docker

Kubernetes

Slurm

Containerization

Job description

The Gladstone Institutes in Mission Bay seeks a ML Research Engineer to join a cross-disciplinary team of computer scientists, biologists, and engineers. You will translate cutting-edge ML methods into practical tools that accelerate neurodegeneration research and enable smarter experimentation.

You will develop and deploy CV and RL pipelines, train multimodal models, and help scale cell image analysis and the lab's intelligent live-cell imaging platform.