88-50100015 Machine Learning Engineer

Roche • South San Francisco, CA

4d • Hybrid

About The Position

The Position Genentech, Inc. seeks a Machine Learning Engineer at its South San Francisco, CA location. Duties: Within global healthcare company, build, deploy and maintain machine learning solutions, including extracting, cleaning/transforming, and applying processes for biomedical imaging applications and multi-modal datasets. Apply mathematical, computational, and algorithmic techniques to further develop and refine machine learning models that meet company and customer needs. Create comprehensive, quality documentation detailing the implementation and usage of developed machine learning components, facilitating smooth integration into larger systems. Participate actively in code and design reviews, offering constructive feedback and suggestions to enhance functionality and promote optimal solutions. Collaborate with cross-functional teams to gather requirements, define use cases, and determine feasible approaches to address complex machine learning problems. Present findings and progress updates to internal and external stakeholders, delivering clear and compelling narratives supported by data, charts, graphs, and illustrations. May telecommute up to 2 days per week. Education and experience required: Master’s degree, or foreign degree equivalent, in Computer Science, Biomedical Imaging or closely related field and 2 years of experience as Machine Learning Engineer, Data Scientist, Software Engineer Machine Learning or closely related position. Special Requirements: Academic or professional experience must include each of the following: Advanced models for drug development research with Machine Learning and Deep Learning, Develop software solutions for bench scientists to advance drug development research with software engineering, Python for developing machine learning and software applications, Store data in databases for developing advanced solutions for research, Cloud platform technologies like Azure and AWS to run workloads and deploy solutions, Large language model application development and operations, and Design and train specialized machine learning models for biomedical analysis. May telecommute up to 2 days per week. Worksite: 1 DNA Way, South San Francisco, CA 94080 The expected annual salary range for this position based on the primary location for this position of South San Francisco, CA is $191,496 to $249,100 per year. Actual pay within the range 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 (https://roche.ehr.com/default.ashx?CLASSNAME=splash ) .#LI-DNI #DNI #DE-DNI Genentech 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. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigour, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche.

Requirements

• Master’s degree, or foreign degree equivalent, in Computer Science, Biomedical Imaging or closely related field and 2 years of experience as Machine Learning Engineer, Data Scientist, Software Engineer Machine Learning or closely related position
• Advanced models for drug development research with Machine Learning and Deep Learning
• Develop software solutions for bench scientists to advance drug development research with software engineering
• Python for developing machine learning and software applications
• Store data in databases for developing advanced solutions for research
• Cloud platform technologies like Azure and AWS to run workloads and deploy solutions
• Large language model application development and operations
• Design and train specialized machine learning models for biomedical analysis

Responsibilities

• build, deploy and maintain machine learning solutions, including extracting, cleaning/transforming, and applying processes for biomedical imaging applications and multi-modal datasets
• Apply mathematical, computational, and algorithmic techniques to further develop and refine machine learning models that meet company and customer needs
• Create comprehensive, quality documentation detailing the implementation and usage of developed machine learning components, facilitating smooth integration into larger systems
• Participate actively in code and design reviews, offering constructive feedback and suggestions to enhance functionality and promote optimal solutions
• Collaborate with cross-functional teams to gather requirements, define use cases, and determine feasible approaches to address complex machine learning problems
• Present findings and progress updates to internal and external stakeholders, delivering clear and compelling narratives supported by data, charts, graphs, and illustrations

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees