Senior Machine Learning Engineer

Exact Sciences; California, San Diego (MO, CA); On-site; USD 109,000 - 174,000; Full time

Job summary

An established industry player is seeking a Senior Machine Learning Engineer to revolutionize cancer detection and treatment through advanced AI methodologies. This role involves collaborating with biostatisticians and data scientists to develop innovative solutions that leverage cutting-edge machine learning algorithms. You'll play a crucial role in the entire solution development process, from ideation to deployment, within a dynamic and inclusive culture. Join a purpose-driven team that values accountability, innovation, and teamwork, and contribute to meaningful advancements in healthcare.

Benefits

Gesundheitsversorgung

Pensionierungsplan

Bezahlte Freizeit

Wellness-Unterstützung

Elternzeit

Freiwilligenzeit

Qualifications

• Ph.D. in Statistik oder verwandtem Bereich erforderlich.
• 3+ Jahre Erfahrung in Statistik und maschinellem Lernen.

Responsibilities

• Entwicklung und Implementierung von ML- und AI-Lösungen.
• Zusammenarbeit mit Stakeholdern zur Anforderungsanalyse.

Skills

Statistik

Künstliche Intelligenz

Maschinelles Lernen

Python

TensorFlow

PyTorch

Computational Biology

Deep Learning

Education

Ph.D. in Statistik

Master in Computational Biology

Tools

TensorFlow

PyTorch

SKLearn

Job description

Help us change lives

At Exact Sciences, we're helpingchange 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:

$109,000.00 - $174,000.00The 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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We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state, or federal law. Any applicant or employee may request to view applicable portions of the company's affirmative action program.

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