Machine Learning Engineer

Invitae is a leading medical genetics company trusted by millions of patients and their providers to deliver timely genetic information using digital technology. We aim to provide accurate and actionable answers to strengthen medical decision-making for individuals and their families. Invitae's genetics experts apply a rigorous approach to data and research, serving as the foundation of their mission to bring comprehensive genetic information into mainstream medicine to improve healthcare for billions of people.

Invitae is seeking an experienced Machine Learning Engineer to join our Applied AI team. Our team has successfully launched real-time APIs for model inference across diverse inputs, and we're poised to tackle new use cases that will improve patient experiences, enhance operational efficiency, and introduce transformative products. In this role, you will leverage your expertise in Python, machine learning infrastructure, and model development to solve complex business problems and develop production-ready ML models that directly contribute to improving patient outcomes and advancing healthcare.

What You’ll Do

• Design, develop, test, deploy, maintain, and improve machine learning models and systems.
• Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.
• Monitor, analyze, and improve the performance of deployed models and integrations based on user feedback and advancements in the field.
• Implement advanced machine learning techniques to solve business problems and enhance our genetic testing capabilities.
• Ensure the scalability, reliability, and security of ML infrastructure.

What You Bring

• Typically a minimum of 5 years of software development experience with a Bachelor’s degree; or 3 years and a Master’s degree; or 1 year and a PhD in a related field (AI, CS, software engineering).
• Proficiency in one or more technical stacks from infrastructure to application code, as well as training and evaluation frameworks within the ML engineering space. (Our stack includes: AWS, Azure, Python, PyTorch, TensorFlow, spaCy, FastAPI, KServe, Kubernetes, GitHub Actions, and New Relic.)
• Strong problem-solving and analytical skills.
• Experience with data preprocessing, feature engineering, model training and model serving.
• Ability to collaborate effectively with cross-functional teams.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Advanced degree in Computer Science, Machine Learning, or a related field.
• Experience with large language models (LLMs) and natural language processing (NLP) techniques.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with MLOps best practices and tools for model versioning and deployment.
• Knowledge of genetics or experience in the healthcare domain.

This salary range is an estimate, and the actual salary may vary based on a wide range of factors, including your skills, qualifications, experience and location. This position is eligible for benefits including but not limited to medical, dental, vision, life insurance, disability coverage, flexible paid time off, Spring Health, Carrot Fertility, participation in a 401k with company match, ESPP, and many other additional voluntary benefits. Invitae also offers generous paid leave programs so you can spend time with your new child, recover from your own illness or care for a sick family member.USA National Pay Range$141,500—$174,000 USD

Please apply even if you don’t meet all of the “What you bring” requirements noted.  It’s rare that someone checks every single item, it’s ok, we encourage you to apply anyways.  

Join us!

At Invitae, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

We truly believe a diverse workplace is crucial to our company's success and to better serve our diverse patients. Your input is especially valuable. We’d greatly appreciate it if you can take a quick moment to make your selection(s) below. Submissions will be anonymous.

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