Senior Machine Learning Engineer

Revvity
US - North Carolina - Durham
January 7, 2025

Job TitleSenior Machine Learning EngineerLocation(s)Durham About Us
Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world's greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our diverse team of 11,000+ colleagues from around the globe are vital to our success and the reason we're able to push boundaries in pursuit of better human health.
Find your future at Revvity
Revvity's In Vivo Imaging group does incredibly important work supporting research across disease models for cancer, cardiopulmonary, metabolic, and infectious disease. The team is an interdisciplinary group that develops market-leading preclinical instrumentation, software, and reagents that drive innovation. In this role as Senior Machine Learning Engineer, your primary focus will be on multi-modal image analysis software, one of the newest entrants to Revvity's product portfolio.
Senior Machine Learning Engineers in our group focus primarily on solving problems related to image segmentation, classification, and registration. These individuals have a substantial background in medical imaging physics, digital signal processing, estimation, deep learning, and/or mathematical modeling. They are strong programmers, including experience in high level scripting languages (e.g., Python/MATLAB) for rapid prototyping and low-level languages (e.g., C, C++, CUDA) for algorithm optimization. They are also comfortable working independently, diving into literature, and running hypothesis-driven experiments when solutions are not obvious.
While hands-on experience in system-level design of imaging hardware is not required, it is preferred. Likewise, hands-on preclinical study design and execution experience is not required but also preferred. Without these prior experiences, candidates should have an interest in getting acquainted both with the instrumentation and experimental laboratory workflows to understand the needs of our customers and provide excellent user experiences. They have a can-do attitude, and willingness to work hard to achieve our common goals.
This job is based in Research Triangle Park, North Carolina.
Required Qualifications:
Ph.D. or Master's degree in Biomedical Engineering, Computer Science, or related field.

Minimum 3-6 years' experience as a machine learning engineer, data scientist, or equivalent.

Minimum 4 years' experience programming in scientific scripting languages (Python, MATLAB).

Minimum 2 years' experience developing and training models using common frameworks (PyTorch, TensorFlow, ONNX).

Minimum 2 years' experience programming in C/C++/CUDA.

Preferred Qualifications:
Experience with automated medical image segmentation and classification.

Experience designing and implementing ML solutions in the cloud or in hybrid architecture (AWS).

Experience programming with open-source medical image processing, visualization, and deep learning toolkits (e.g. MONAI, 3D Slicer, VTK, ITK, etc.).

Experience in the development of graphical user interfaces (GUIs), preferably cross-platform frameworks (e.g. Qt).

Familiarity with model registry and tracking using MLFlow or similar.

Experience working in a team-oriented, collaborative environment.

Additional personal attributes:
Demonstrated ability to work independently and research innovative solutions to challenging technical problems.

Desire to work in a dynamic and fast-paced entrepreneurial environment.

Comfortable presenting and demonstrating results in live settings in front of stakeholders and/or customers.

Strong technical writing abilities and analytical skills.

Detail oriented, focused on facts and objectives.

Persistent and structured but flexible when challenged with competing priorities.

Strong interpersonal and relationship-building skills.

What do we offer?
We provide competitive and comprehensive benefits to our employees.Below are some highlights of our benefits:
Medical, Dental, and Vision Insurance Options

Life and Disability Insurance

Paid Time-Off

Parental Benefits

401k with Company Match

Employee Stock Purchase Plan

Learn more about Revvity's benefits by visiting ourWhy Revvitypage.
• For benefit-eligible roles only. Part-time and temporary roles may not be eligible for all benefits listed. Please reach out to your recruiter for more information.
Revvity is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, or veteran status or any other characteristics protected by applicable law. Revvity is committed to a culturally diverse workforce.

Read the full job description and apply online on the recuiter's web-site

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