Senior Machine Learning Engineer

Help us change lives

At Exact

Sciences, we're helping change how the world prevents,

detects and guides treatment for cancer. We give patients and

clinicians the clarity needed to make confident decisions when they

matter most. 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.

Position

Overview

The Sr. 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.

Essential Duties

Include,

but are not limited to, the following :

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.

Minimum Qualifications

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.

Preferred Qualifications

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

#LI-SM1

Salary Range :

$120,000.00 - $204,000.00The 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. Learn more about

our benefits.

Our success relies on the

experiences and perspectives of a diverse team, and Exact Sciences

fosters a culture where all employees can develop personally and

professionally with a sense of respect and belonging. If you

require an accommodation, please contact us here.

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Sciences.

We are an equal employment

opportunity employer. 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.