34 applicants

Company

Natera · 6 hours ago

Machine Learning Engineer

United States

Full-time

Remote

Mid Level

3+ years exp

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BiotechnologyGenetics

H1B Sponsor Likely

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Responsibilities

Model Implementation: Develop and implement state-of-the-art deep learning models, including convolutional neural networks and foundation models, for analyzing genomic sequences, medical imaging, and clinical outcome predictions.

Model Interpretation: Apply explainable AI (XAI) techniques to interpret multimodal model results of molecular and imaging, ensuring actionable insights for medical experts and business demonstrations.

Data Pipelining: Perform data wrangling, including cleaning, transforming, and preprocessing large multimodal datasets (e.g., genomic sequences, imaging, and clinical metadata) to ensure quality and consistency for machine learning workflows.

Reproducibility and Documentation: Ensure reproducibility through well-documented code, annotated workflows, and interactive demonstrations (e.g. in Jupyter notebook) in version-controlled repositories.

Model Deployment and User Interface: Build and maintain user-friendly, interactive interfaces to enable seamless exploration and interpretation of AI model results by non-technical users, including clinicians and researchers.

Communications: Communicate scientific results through internal meetings, scientific conferences, and peer-reviewed publications.

Collaborations: Collaborate with medical experts to guide research and development.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PyTorchMedical ImagingDeep LearningGitJupyter NotebooksExplainable AIData WranglingAWSVersion ControlScientific CommunicationMachine Learning MethodsBiology Knowledge

Required

Master’s in Computer Science, Applied Mathematics, Statistics, or a related quantitative field with 5+ years experience OR

PhD in the above fields with 3+ years experiences.

Strong expertise in PyTorch and associated ecosystems (e.g., Lightning, torchvision, captum, HuggingFace).

Proven track record in medical imaging for oncology, such as H&E whole-slide imaging, CT scans, immunohistochemistry staining.

Proficient in Git for version control and Jupyter Notebooks for scientific communication and workflow reproducibility.

Ability to clearly summarize and communicate results in oral and written form.

High scientific rigor and eagerness to teach and learn about new machine learning methods and biology.

Preferred

Experience with cloud platforms (AWS) and GPU-accelerated computing frameworks is a plus.

Benefits

Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents

Free testing in addition to fertility care benefits

Pregnancy and baby bonding leave

401k benefits

Commuter benefits

Generous employee referral program

Company

Natera

Glassdoor

3.5

Natera specializes in cell-free DNA testing to provide a more targeted interventions to oncology, women's health, and organ health.

Founded in 2004

San Carlos, California, USA

1001-5000 employees

https://www.natera.com/

H1B Sponsorship

Natera has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (24)

2022 (54)

2021 (75)

2020 (47)