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AI Engineer - Performance Optimization

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Molecular Devices, one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact.

You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.

Join Molecular Devices and help drive scientific discovery for life science customers in academia, biotech, pharma, and government. Our automated and AI-enabled technology empowers researchers to tackle complex questions and gain deep insights, accelerating the development of safer, more effective therapeutics. As part of our team-rooted in collaboration, authenticity, and innovation-you'll ultimately contribute to groundbreaking science that enhances lives globally and shapes a healthier future for all.

Learn about the Danaher Business System which makes everything possible.

We are seeking an experienced AI Engineer - Performance Optimization specializing in GPU programming to optimize AI applications for high-performance computing in the life sciences. The ideal candidate will drive the development of industrial-grade applications by leveraging advanced machine learning and computer vision techniques to analyze complex biological images. You will play a key role in architecting, developing, and optimizing software solutions that meet the demanding performance requirements of the life science industry.

This position reports to the Manager, Software Engineering and is part of the R&D-Team located in Bellevue, Seattle and will be an on-site role.

In this role, you will have the opportunity to:

  • Software Development & Architecture: Design, develop, and maintain high-performance machine learning and computer vision applications tailored for life science imaging challenges. Architect robust, scalable, high-performance, and maintainable software systems that integrate seamlessly with existing industrial workflows.
  • Machine Learning & Computer Vision: Develop and implement state-of-the-art algorithms (e.g., convolutional neural networks, object detection, segmentation) to process and analyze biological image data. Optimize existing machine learning models and computer vision pipelines for performance, accuracy, and scalability.
  • Performance Optimization: Identify performance bottlenecks in software and implement optimization strategies to enhance processing speed and efficiency. Custom kernel development by write and optimize custom CUDA kernels for specialized AI and deep learning workloads. Develop algorithms for large-scale data processing, model predection and model training.
  • Industrial Application Development: Ensure the software meets industrial standards for reliability, security, and compliance with regulatory requirements specific to the life science domain. Develop comprehensive documentation, including technical specifications, user guides, and maintenance procedures.
  • Collaboration: Work closely with AI research teams and other stakeholders to understand user requirements and translate them into technical solutions. Contribute to a culture of continuous improvement by sharing best practices, tools, and techniques across the team.

The essential requirements of the job include:

  • Education : Bachelor's degree in Computer Science, Engineering, or a related field; Master's or Ph.D. preferred.
  • Experience : 7+ years of professional software development experience, with a focus on industrial application development and machine learning/computer vision solutions.
  • Technical Skills: Proficiency in Python and C/C++, experience with machine learning frameworks (e.g., TensorFlow, PyTorch), and strong understanding of computer vision algorithms.
  • Domain Knowledge : Understanding of life science imaging techniques and knowledge of regulatory standards and data privacy requirements in the life sciences.
  • Soft Skills : Excellent problem-solving skills, strong communication and collaboration abilities, and the ability to manage multiple projects concurrently.

It would be a plus if you also possess previous experience in:

  • Experience in deploying machine learning models in production environments.
  • Publications or contributions to open-source projects in computer vision or machine learning.
  • Previous experience in a regulated industry such as healthcare or pharmaceuticals.

Molecular Devices, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info .

The salary range for this role is $130K-$150K . This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.

This job is also eligible for bonus/incentive pay.

We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit .

Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

The EEO posters are available here .

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at to request accommodation.

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What You Should Know About AI Engineer - Performance Optimization, Molecular Devices

At Molecular Devices, we are looking for an innovative AI Engineer - Performance Optimization to join our lively team in Bellevue, Washington. Here at Molecular Devices, one of Danaher's 15+ operating companies, our mission is to drive scientific discovery and ultimately save lives through cutting-edge technology. If you’re passionate about optimizing AI applications and exploring the endless possibilities within life sciences, then we want you! As an AI Engineer - Performance Optimization, you'll specialize in GPU programming to develop high-performance software solutions that can tackle complex challenges in biological imaging. Your work will involve designing and maintaining exceptional machine learning and computer vision applications that harmonize with the needs of life science research. You'll collaborate with our dedicated R&D teams, turning concepts into impactful technologies that not only enhance research efficiency but also contribute to global health advancements. A critical part of your role will be optimizing performance through the development of custom CUDA kernels and identifying bottlenecks to improve speed and accuracy. We value creativity, and your contributions will be crucial in architecting software that meets industrial standards. With a collaborative culture that respects individuality, we’re committed to providing an environment where your expertise truly makes a difference. Join us at Molecular Devices, where your skills will play an essential role in shaping a healthier future!

Frequently Asked Questions (FAQs) for AI Engineer - Performance Optimization Role at Molecular Devices
What are the primary responsibilities of an AI Engineer - Performance Optimization at Molecular Devices?

As an AI Engineer - Performance Optimization at Molecular Devices, your responsibilities will include developing and optimizing machine learning and computer vision applications tailored to address challenges in biological imaging. You will identify performance bottlenecks and implement strategies to enhance efficiency, while also working on custom CUDA kernel development to meet the demanding performance expectations in the life sciences sector.

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What qualifications are necessary for the AI Engineer - Performance Optimization position at Molecular Devices?

To excel as an AI Engineer - Performance Optimization at Molecular Devices, candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, with advanced degrees preferred. Candidates should have over 7 years of professional software development experience, focusing on industrial applications and machine learning/computer vision solutions.

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How does Molecular Devices foster a collaborative environment for AI Engineers?

At Molecular Devices, our culture emphasizes collaboration and authenticity. As an AI Engineer - Performance Optimization, you will work closely with research teams and other stakeholders, fostering an environment where sharing best practices, tools, and techniques are encouraged. This collaboration aims to translate user requirements into effective technical solutions.

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What programming languages and tools are essential for the AI Engineer - Performance Optimization role at Molecular Devices?

The ideal candidate for the AI Engineer - Performance Optimization position at Molecular Devices should be proficient in Python and C/C++. Familiarity with machine learning frameworks like TensorFlow or PyTorch, along with a strong grasp of computer vision algorithms, is crucial for success in developing high-performance applications.

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What are the career growth opportunities for an AI Engineer - Performance Optimization at Molecular Devices?

At Molecular Devices, there are ample career growth opportunities, particularly for an AI Engineer - Performance Optimization. The company's focus on continuous improvement encourages professional development, paving the way for advancement into leadership roles or expert positions specializing in AI technologies within life sciences.

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Common Interview Questions for AI Engineer - Performance Optimization
Can you explain your experience with GPU programming relevant to the AI Engineer - Performance Optimization role?

When responding to this question, you can highlight specific projects where you utilized GPU programming to enhance AI applications. Discuss any frameworks you’ve worked with, such as CUDA, and the impact that your optimizations had on performance metrics.

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What strategies do you use to optimize machine learning models?

In answering this question, illustrate your knowledge of various optimization techniques such as hyperparameter tuning, feature selection, and model simplification. Provide examples where you successfully improved model performance, focusing on methods like quantization or pruning if applicable.

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How do you approach debugging performance issues in AI applications?

When discussing debugging strategies, explain your systematic approach to identifying bottlenecks, utilizing profiling tools, and analyzing performance logs. Share an experience where your debugging efforts led to significant improvements in application performance.

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Give an example of a challenging machine learning problem you solved in your previous work.

Use this opportunity to describe a specific challenge you faced, detailing the problem, the machine learning techniques you applied, and how your solution contributed to more effective results. This demonstrates your problem-solving capabilities.

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How do you ensure that AI applications meet industry standards for reliability and security?

Speak to your familiarity with regulatory requirements and how you stay updated on industry standards. Explain your role in implementing security measures and validation processes to ensure compliance in previous projects.

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What is your experience with machine learning frameworks like TensorFlow or PyTorch?

Share specific instances where you used either of these frameworks in your projects. Discuss your comfort level with their tools and functionalities, and mention any projects where you successfully deployed models using these frameworks.

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How do you prioritize tasks in a busy project environment?

In response, outline your time management and prioritization strategies. Mention tools or methodologies you use, such as Agile or Kanban, and provide examples of projects where effective prioritization led to timely delivery and success.

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Describe your experience with computer vision algorithms.

Highlight your knowledge of key computer vision algorithms, such as convolutional neural networks (CNNs) or segmentation techniques. Share a related project experience, discussing how you implemented these algorithms for practical applications.

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How do you keep up with the latest advancements in AI and machine learning?

Mention your commitment to continuous learning through various resources such as workshops, online courses, or industry conferences. Provide examples of how you're currently integrating new trends or technologies into your work.

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What soft skills do you consider most important for an AI Engineer - Performance Optimization role?

Discuss the importance of communication, collaboration, and critical thinking as key soft skills for this role. Share examples of how these skills have helped you successfully work with teams and stakeholders in past projects.

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Molecular Devices makes leading-edge scientific research possible for academia, pharma and biotech customers with our innovative, high-performance life science technology. From cancer to COVID-19, we've contributed to scientific breakthroughs desc...

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April 13, 2025

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