Senior ML Scientist: 3D Medical Imaging & Survival Analytics

Altis Labs, Inc.; United States; On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity participation

Medical, vision, and dental insurance

4 weeks vacation

Job summary

Altis Labs is seeking a senior ML/CV scientist to design and implement 3D medical imaging models (CT, PET, MRI) and survival analyses. You will optimize large-scale training on cloud GPUs, collaborate to set best practices, and contribute to publications. A PhD is preferred with a strong track record in research and industry impact.

The role demands expertise in distributed training, memory optimization, and modern ML infrastructures, with strong publications or deployments as evidence.

Qualifications

• 7+ years of experience in machine learning with a focus on computer vision or medical imaging.
• PhD preferred; exceptional industry track record considered.
• Deep expertise in 3D vision with volumetric architectures (3D CNNs, Vision Transformers for 3D data).
• Strong foundation in survival analysis and time-to-event modeling.
• Experience training large models at scale with distributed training and memory optimization.
• Proficiency with PyTorch and modern ML infrastructure.
• Track record of impactful research (publications or deployed systems).

Responsibilities

• Design and implement deep learning architectures for 3D medical imaging (CT, PET, MRI).
• Develop survival models handling censored outcomes and time-to-event nuances.
• Optimize training pipelines for large-scale imaging datasets on cloud GPU infrastructure.
• Collaborate with ML team to establish best practices and push state of the art.
• Contribute to research publications and present findings at conferences.

Skills

Machine learning

Computer vision

Medical imaging

3D vision

3D CNNs

Survival analysis

Distributed training

Memory optimization

PyTorch

Research experience

Education

PhD in ML/CV/Statistics or related field

Tools

PyTorch

Job description

Altis Labs is seeking a senior ML/CV scientist to design and implement 3D medical imaging models (CT, PET, MRI) and survival analyses. You will optimize large-scale training on cloud GPUs, collaborate to set best practices, and contribute to publications. A PhD is preferred with a strong track record in research and industry impact.

The role demands expertise in distributed training, memory optimization, and modern ML infrastructures, with strong publications or deployments as evidence.