Machine Learning Engineer- Cloud Deployment (Remote)

Help us change lives At Exact Sciences, we’re helping

change how the world prevents, detects and guides treatment for

cancer. Join our team to find a purpose-driven career, an inclusive

culture, and robust benefits to support your life while you’re

working to help others. Machine Learning Engineer, with minimal

guidance from more experienced engineers, works independently and

in collaboration with others on multiple projects which are complex

in scope. This role applies deep knowledge of advanced artificial

intelligence and machine learning algorithms and models to solve

problems involving biological, genomic, clinical and healthcare

data within a setting of advanced cancer screening and precision

oncology. This role is involved at every step of the solution

development process, from ideation, design, implementation and

deployment. This role strongly contributes to the strategic vision

for the application of cutting-edge AI methodologies at Exact

Sciences and work as a partner with biostatisticians,

bioinformatics scientists, and data scientists to further our goal

of helping eradicate cancer by preventing it, detecting it earlier,

and guiding personalized treatment. 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. Exercise discretion and judgment within broadly

defined practices and policies in selecting methods and techniques

and evaluation criteria for obtaining and interpreting results.

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. Ability to act with an inclusion mindset and model

these behaviors for the organization. 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. 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.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. ~ 2+ years of life sciences industry experience

working with biological data. ~2+ years of industry experience in

molecular diagnostics, preferably cancer diagnostics. ~ Expertise

in data mining approaches within healthcare settings generating

insight from routinely collected healthcare data. ~ Basic knowledge

of ML-Ops and processes for managing the versioning and deployment

of machine learning models. ~ Scientific understanding of cancer

biology #00The annual base salary shown is for this position

located in US - WI - Madison on a full-time basis and may differ by

hiring location. In addition, this position is bonus eligible, and

is eligible to be considered for company stock at hire and on an

annual basis. Exact Sciences is proud to offer an employee

experience that includes paid time off (including days for

vacation, holidays, volunteering, and personal time), paid leave

for parents and caregivers, a retirement savings plan, wellness

support, and health benefits including medical, prescription drug,

dental, and vision coverage. Join our Talent Community to stay

updated on the latest news and opportunities at Exact Sciences. All

qualified applicants will receive consideration for employment

without regard to disability, protected veteran status, and any

other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency

notices and Federal, Federal Contractor, and State employment law

posters, visit our compliance hub. The documents summarize

important details of the law and provide key points that you have a

right to know.