Machine Learning Scientist, Multimodal AI

🕒 May 28

🇺🇸 United States – Remote

💵 $124.8k - $156k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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

Natera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🧬 Biotechnology

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Biotechnology • Healthcare Insurance • Pharmaceuticals

Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.

📋 Description

• Design, implement, and evaluate deep learning models across biomedical data modalities • Develop multimodal AI architectures integrating H&E whole-slide imaging data with molecular and clinical data sources • Build scalable, production-quality ML workflows and pipelines using cloud infrastructure (AWS) • Apply modern ML techniques including CNNs, vision transformers (ViTs), sequence transformers, representation learning, and foundation model fine-tuning • Collaborate with technical and clinical teams to translate ML prototypes into validated tools • Analyze model outputs to generate reproducible biological and clinical insights • Document pipelines thoroughly and communicate data-driven findings to stakeholders

🎯 Requirements

• PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics or related quantitative discipline focusing on ML or AI • Core experience developing ML models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics or molecular diagnostics • Hands-on expertise with PyTorch and strong production-level programming skills in Python • Practical application of deep learning architectures such as CNNs, transformers, attention mechanisms, and representation learning • Experience managing datasets and training workflows within distributed or cloud computing environments (AWS) • Proven ability to take ownership of research projects and translate prototypes into robust, deployment-ready workflows • Experience adapting pre-trained foundation models for downstream biomedical applications

🏖️ Benefits

• Comprehensive medical, dental, vision, life and disability plans • Free testing for employees and their immediate families • Fertility care benefits • Pregnancy and baby bonding leave • 401k benefits • Commuter benefits • Generous employee referral program