Molecular Devices, a Danaher company, is seeking an experienced AI Engineer specializing in GPU programming and performance optimization. This role is crucial in developing industrial-grade applications that leverage advanced machine learning and computer vision techniques for analyzing complex biological images in life sciences.
The position is based in Bellevue, Seattle, reporting to the Manager of Software Engineering. As an AI Engineer, you'll be responsible for designing and developing high-performance machine learning applications, optimizing AI algorithms, and ensuring robust software architecture that meets industrial standards. The role combines technical expertise in AI/ML with domain knowledge in life sciences.
Key responsibilities include developing custom CUDA kernels, optimizing performance bottlenecks, managing large-scale data pipelines, and ensuring compliance with regulatory requirements. You'll work on cutting-edge projects that directly impact scientific research and discovery in academia, biotech, and pharma.
The ideal candidate should have 5+ years of software development experience, strong proficiency in Python and C/C++, and extensive knowledge of machine learning frameworks. A bachelor's degree is required, with a preference for advanced degrees. The role offers competitive compensation ($130K-$160K) plus comprehensive benefits including medical/dental/vision insurance, 401(k), and bonus opportunities.
This position offers an exciting opportunity to work at the intersection of AI and life sciences, contributing to groundbreaking scientific discoveries while being part of Danaher's innovative ecosystem. The company culture emphasizes continuous improvement, collaboration, and making a real-world impact in life sciences and biotechnology.
Working at Molecular Devices means joining a team that values authenticity, innovation, and collaboration. You'll be part of developing solutions that enhance lives globally and shape a healthier future. The company leverages the Danaher Business System for continuous improvement and innovation, ensuring that your work contributes to meaningful scientific advancement.
The role requires a unique combination of technical expertise in AI/ML and understanding of life science applications, making it an ideal position for someone passionate about both technology and its practical applications in scientific research. You'll work in an environment that promotes learning, growth, and the opportunity to make a significant impact in the field of life sciences.