Staff Algorithm and AI Test Engineer

Thermo Fisher Scientific; Singapore; On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a skilled professional to lead the development of innovative testing frameworks for algorithms. In this pivotal role, you will ensure the reliability and accuracy of algorithms, enhancing healthcare solutions through cutting-edge diagnostic systems. Collaborating with a talented team, you will utilize AI and deep learning techniques to revolutionize testing methodologies. This position offers the chance to mentor junior engineers while staying at the forefront of industry standards and technologies. If you are passionate about driving scientific breakthroughs and improving healthcare, this opportunity is perfect for you.

Qualifications

• 5+ years in algorithm and AI testing within product development.
• Experience in developing testing frameworks and automation.

Responsibilities

• Develop processes to verify algorithm performance and behavior.
• Create infrastructure to automate algorithm testing and improve workflows.

Skills

Python

Java

Matlab

Data Analysis

Communication Skills

Project Management

Education

BS in Computer Sciences

Master’s degree in related field

Tools

pytest

Junit

CI/CD

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion and extensive investment in R&D. Our Mission is to enable our customers to make the world healthier, cleaner and safer. The customers we serve fall within pharmaceutical and biotech companies, hospitals and clinical diagnostic labs, universities, research institutions and government agencies. Our innovations drive scientific breakthroughs, from pioneering research to routine testing and real-world applications.

How will you make an impact?

You will be a cornerstone in ensuring the reliability, accuracy, and robustness of our algorithms. You will lead the development of innovative testing frameworks and tools that enables comprehensive validation and characterization of algorithms, ultimately driving excellence in our product offerings. You will collaborate with and learn from a talented team of algorithm and software developers, revolutionizing healthcare through low-cost and high throughput diagnostic systems.

What will you do?

• Develop effective processes to verify algorithm performance and understand their behavior
• Create infrastructure and frameworks to automate algorithm testing and improve workflows
• Use the latest techniques, like AI and deep learning, to enhance testing and predict real-world algorithm performance
• Work closely with other teams to integrate testing into the development process and refine tools based on feedback
• Provide insights to improve algorithm and build confidence in their reliability
• Lead and mentor junior team members, fostering a collaborative and innovative environment
• Stay current with industry standards and emerging technologies to continuously improve testing methodologies

How will you get here?

Education

BS in Computer Sciences, Mathematics, Statistics or a related field; a Master’s degree is highly preferred

Experience

• 5+ years experience in algorithm and AI testing and testing automation experience within a product development setting or SDLC experience
• Shown experience in developing testing frameworks and pipelines to automate algorithm and AI testing
• Experience with pytest, Junit, CI/CD
• Demonstrated leadership experience, including mentoring and guiding junior engineers
• Experience in biotechnology industry is a plus

Knowledge, Skills, Abilities

• Strong programming skills in Python, Java, or Matlab
• Solid understanding of various algorithms and the ability to analyze algorithm complexity and performance
• Excellent knowledge in data analysis and visualization
• Good understanding of AI/ML models, framework, and mathematical concepts
• Strong communication skills, and the ability to present work to both technical specialists and non-experts
• Ability to work both independently and collaboratively
• Strong project management skills and ability to handle multiple projects and prioritize tasks efficiently.