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Exact Sciences · 1 day ago

Senior Machine Learning Engineer

Madison, WI

Full-time

Onsite

Mid, Senior Level

$120K/yr - $204K/yr

3+ years exp

Exact Sciences is helping change how the world prevents, detects, and guides treatment for cancer. The Sr. Machine Learning Engineer will apply advanced AI and machine learning algorithms to solve complex problems in healthcare data, collaborating with various teams to develop and implement innovative solutions.

BiotechnologyHealth DiagnosticsManufacturingMedical

No H1B

Hiring Manager

Shauntina McAllister

Responsibilities

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

Qualification

Machine LearningArtificial IntelligencePythonDeep LearningNatural Language ProcessingImage ProcessingLarge Language ModelsData MiningML-OpsCommunication SkillsTeamwork

Required

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 as outlined in the essential duties 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