Principal Machine Learning Engineer

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

A healthier future It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Computational Science and Informatics Pathology Lab Solutions Chapter is a fast-paced, highly interdisciplinary, and technical team of people with the ambitious goal of disrupting the practice of Pathology by creating innovative algorithms using AI technologies to improve the lives of cancer patients. In this Chapter, we have an exciting opportunity for a Principal Machine Learning Engineer

The Opportunity

• Contribute to technology roadmap for algorithm development frameworks and related technology

• Work with the Algorithm development team

• Provide technical leadership on DP algorithm deployment and integration

• Mentoring of software developers and other team members

• Translating Research code and PoC (Proof of Concepts) into Products

Who you are

• You have a Bachelor's or higher degree in Computer Science, Bioinformatics, Computational Biology, or a related field

• You have 8+ years of experience algorithm (implementing and modifying) experience

• You have 8+ years of experience with Python

• You have experience with C++

• You have experience with Cloud Computing / AWS

• You have experience with Docker/Kubernetes

• You have knowledge of modern software tools and development practices, including agile development and continuous integration / continuous deployment

• You have contributed to advancements in own field

• You are able to apply system thinking and develop efficient, scalable software on complex systems

• You have prior experience mentoring and providing career development to both junior and senior staff team members

• You have experience working in Medical Devices and Regulated Environments

• You have exposure to traditional Computer Vision or Deep Learning Methods

• Master Degree or PhD with experience preferred

Additional Information:

• This is a remote, field-based position. Relocation benefits are not provided with this job posting.

The expected salary range for this position based on the primary location of California is 142,500/yr to 264,700/yr.  Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.  A discretionary annual bonus may be available based on individual and Company performance.  This position also qualifies for the benefits detailed at the link provided below.

Benefits

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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