Lead Machine Learning & DevOps Engineer

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Genomics, Biotechnology, PharmaceuticalsIndustries

Requirements

Candidates should have 5+ years of software engineering experience, with a focus on ML or scientific computing, and proven experience deploying ML models to production in a cloud environment. Proficiency in Python (Flask/FastAPI/Django), JavaScript/TypeScript (React), cloud platforms (AWS, GCP, Azure) with GPU usage, Docker, Kubernetes, and AI inference frameworks like vLLM and DeepSpeed is required. Experience with experiment tracking tools (MLflow, W&B) is highly desired, and familiarity with model-serving tools is a plus. The ability to work autonomously and prioritize in a fast-paced environment is essential.

Responsibilities

The Lead Machine Learning & DevOps Engineer will productionize ML prototypes into scalable, secure, and maintainable systems, build and integrate full-stack applications with user-friendly interfaces, and design/deploy GPU-accelerated cloud infrastructure. Responsibilities include overseeing the AI model lifecycle using tools like MLflow and W&B, managing CI/CD pipelines, ensuring security and compliance (HIPAA), and collaborating with ML scientists and stakeholders to align engineering with clinical goals.

Skills

Machine Learning

DevOps

Python

AWS

GPU

vLLM

DeepSpeed

MLFlow

W&B

Full-stack development

Back-end development

Front-end development

Cloud infrastructure

Model lifecycle management

A/B testing

Natera

Genetic testing and diagnostics solutions provider

About Natera

Natera focuses on genetic testing and diagnostics, providing advanced solutions for cancer patients, transplant patients, and individuals assessing hereditary health risks. Their main technology is cell-free DNA (cfDNA) testing, which analyzes DNA fragments in the blood to detect minimal traces of cancer and assess organ health. Natera stands out by offering specialized tests like the Signatera ctDNA test and Panorama NIPT, along with genetic counseling services. The company's goal is to improve patient care and health outcomes through accurate genetic testing.

Austin, TexasHeadquarters

2004Year Founded

$149.9MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

1,001-5,000Employees

Benefits

Flexible medical plans

Investment options

Time off

Workplace perks

Risks

Hindenburg report accuses Natera of deceptive sales practices, risking legal challenges.

New Prospera Heart features may face slow adoption by healthcare providers.

Fetal RhD NIPT demand may drop post-RhIg shortage, affecting future sales.

Differentiation

Natera's Signatera test offers personalized ctDNA analysis for cancer patients.

Prospera Heart test uses unique Donor Quantity Score for transplant rejection detection.

Panorama NIPT test is a leader in non-invasive prenatal testing with 2 million tests.

Upsides

Increased adoption of liquid biopsy techniques boosts demand for Natera's cfDNA tests.

AI integration enhances accuracy and speed of Natera's cfDNA analysis.

Growing personalized medicine trend aligns with Natera's customized genetic tests.

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