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Senior Software Engineer - AI/ML Engineering

Genentech

The Position

We advance science so that we all have more time with the people we love.

We are searching for a highly skilled Senior Software Engineer - AI/ML Engineering possessing a minimum of 7 years of experience. The suitable candidate should deeply comprehend AI/ML solutions and possess preferential experience with Large Language Models (LLMs). The selected candidate will be accountable for designing, developing, and implementing sophisticated AI/ML solutions to optimize clinical and pre-clinical AI research.

Why Join Us:
• Impactful Work: As an engineer at Genentech, your contributions directly drive world-class pharmaceutical breakthroughs. You will shape the future of biotechnology through your work.
• Innovation Hub: We encourage innovation and creative thinking. You'll have the freedom to explore cloud-scale solutions and witness how your decisions impact the outcomes of pioneering research.
• High Standards: We thrive on excellence. We're looking for individuals who are driven to develop tactical solutions that diagnose and fix issues, ensuring top-notch quality, and setting high standards for themselves.
• Leadership: If you possess strong organizational, planning, collaboration, and communication skills, you're not just an employee here – you're a builder!

The Opportunity:
• Design, develop, and maintain scalable AI/ML algorithms, models, and systems, with a focus on Large Language Models.
• Examine complex datasets and apply interpretation and analysis to support clinical and pre-clinical research projects.
• Maintain data quality and integrity throughout all stages of data acquisition and processing, including sourcing, extraction, cleaning, harmonization, and integration.
• Translate data-driven insights into improvements for clinical and pre-clinical processes.
• Collaborate with multiple teams to implement models and monitor outcomes.
• Advance and refine the current data architecture to better support the needs of the research department.
• Implement Agile/Scrum methodologies in all phases of the iterative development process.
• Identify emerging technology trends in data science and steer the business toward their assimilation.
• Guide and mentor junior engineers on the team, fostering a learning environment and promoting professional development.

Who You Are:
• Minimum of 7 years of experience as a Data/ML/AI Engineer or in a similar role
• Demonstrable experience in AI/ML solutions, with preference for those with expertise in Large Language Models.
• Proficiency in data modeling, ETL development, and Data Warehousing.
• Proficiency in programming languages such as Python, Java, or SQL.
• Firm understanding of database structure principles.
• Proven experience in gathering and analyzing system requirements.
• Solid knowledge of algorithms and data structures.
• Problem-solving attitude with a keen attention to detail.
• Master’s degree in Computer Science, Information Technology, Bioinformatics or a related field, or significant industry experience.

Preferred Qualifications:
• Previous experience in the Healthcare or Biotech industry.
• Experience with cloud services such as AWS or Google Cloud.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of California is $168,600 - $313,000 of hiring range. 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

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Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.

Location: South San Francisco, CA

Posted: Aug. 16, 2024, 8:39 a.m.

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