Senior AI/ML Engineer – Life Sciences
Location
California
Posted
3 days ago
Salary
$78K - $156K / year
Seniority
Senior
Job Description
Senior AI/ML Engineer – Life Sciences
Abbott
• Maintain deep expertise in one or more AI technology areas. • Clearly present and communicate relevance of technological advances as relevant to our work in biostatistics, bioinformatics and data science at Exact Sciences. • Develop perspectives on “AI technology affordance”: what do these advances in AI technology allow us to do (more efficiently and / or more effectively) that we couldn’t do before. • Work with stakeholders to discover and refine requirements for ML- and AI-based solutions to business problems with a focus on bioinformatics, biostatistics and data engineering applications. • Collaborate with other ML/AI engineers and relevant partners to design software solutions that utilize state-of-the art artificial intelligence and machine learning techniques. • Work with other AI and ML engineers and software engineers to implement and deploy ML and AI solutions. • Work in an Agile framework focused on iterative, rapid delivery of proof-of-concept solutions. • Contribute to the development of an AI strategy at Exact Sciences that empowers the team to leverage both existing AI and ML tools and those developed in-house to accelerate and enhance bioinformatics, biostatistics and data science processes and outcomes. • Contribute to internal initiatives to build training resources, develop knowledge bases, and educate on advanced AI and ML technologies and best practices for leveraging them. • Provide mentorship and coaching to more junior level team members. • Act as resource and subject matter expert in core team and/or cross-functional meetings. • Exercise discretion and judgment within broadly defined practices and policies in selecting methods and techniques and evaluation criteria for obtaining and interpreting results. • Ability to apply strong communication skills and to explain difficult, sensitive, and/or complex information to audiences of peers. • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. • Support and comply with the company’s Quality Management System policies and procedures. • Maintain regular and reliable attendance. • Ability to act with an inclusion mindset and model these behaviors for the organization. • Ability to work designated schedule. • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 85% of a typical working day. • Ability to travel 5% of working time away from work location, may include overnight/weekend travel.
Job Requirements
- Ph.D. in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties, or master’s degree in Statistics, Computational Biology, Computer Science, or related quantitative field plus 4 years of experience in lieu of a Ph.D.
- 3+ years of experience in statistics, computational biology, applied mathematics, or related quantitative field as outlined in the essential duties.
- 3+ years of experience with artificial intelligence and machine learning algorithms.
- Demonstrated knowledge and experience with advanced AI concepts, such as artificial neural networks, deep learning, and reinforcement learning.
- Demonstrated knowledge and experience using artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition.
- Demonstrated knowledge and experience with large language models for generative AI and associated concepts, such as transformer architecture and retrieval augmented generation.
- Strong programming ability with demonstrated experience in Python and one or more associated machine learning frameworks, such as TensorFlow, PyTorch, or SKLearn.
- Knowledge of and experience working with open-source AI models.
- Demonstrated ability to perform the essential duties of the position with or without accommodation.
- Authorization to work in the United States without sponsorship.
Benefits
- Not specified
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