Senior Machine Learning Scientist

🕒 July 28

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Altis Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🤖 Artificial Intelligence

🏥 Healthcare

🧬 Biotechnology

💰 $6M Seed Round - Altis Labs on 2023-06

Artificial Intelligence • Healthcare • Biotechnology

Altis Labs is an AI-driven medical imaging software company that uses imaging-based prognostication to predict patient outcomes from CT scans and accelerate clinical drug development. Their IPRO platform and related tools provide predictive imaging insights to biopharma sponsors and clinical research sites, helping maximize insight from imaging data to forecast drug efficacy and improve clinical R&D. The company is based in Toronto, Canada and partners with biopharma and clinical teams to integrate imaging-derived biomarkers into trials.

📋 Description

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

🎯 Requirements

• 7+ years of experience in machine learning, with substantial work in computer vision or medical imaging • PhD in machine learning, computer vision, statistics, or a related field preferred; exceptional industry track record considered • Deep expertise in 3D vision—experience with volumetric architectures (3D CNNs, Vision Transformers for 3D data, etc.) • Strong foundation in survival analysis and time-to-event modeling (Cox models, deep survival models, competing risks) • Proven ability to train large models efficiently at scale—you understand distributed training, memory optimization, and what it takes to iterate quickly on big data • Proficiency with PyTorch and modern ML infrastructure • Track record of impactful research (publications, deployed systems, or equivalent demonstrations of technical depth)

🏖️ Benefits

• Competitive pay and generous equity participation • Coverage for medical, vision, and dental insurance • 4 weeks of vacation per year