Artificial Intelligence (AI) Engineer

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming, AWS

Job Description

When you are part of the team of more than 75 thousand extraordinary minds at Thermo Fisher Scientific, you will do work with broad societal impact: helping customers find cures for cancer, protecting the environment, making sure our food is safe, and much more. Your work will have real-world impact. Thermo Fisher is the world leader in serving science, with annual revenue exceeding $25 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies, or increasing productivity in their laboratories, we are here to support them.

Location and Division Specific Information

• North America: Carlsbad, CA (preferred); South San Francisco, CA; Boston, MA; Other North America; Remote possible
• Office of the Chief Scientific Officer and Corporate IT

How will you make an impact?

As an AI engineer, your role will be to develop and implement AI, especially machine learning (ML), algorithms, that will make our instruments smarter and serve the purpose of enabling the next generation of scientific discovery. Your work will impact a wide gamut of industries, including molecular diagnostics, clinical diagnostics, next generation sequencing, microscopy, materials sciences, and health care.

This is an extremely unique opportunity. You will be joining a highly visible team that is responsible for shaping and implementing the AI/ML strategy across all Thermo Fisher R&D divisions. Your work will impact hundreds of products and millions of lives across the globe. Your duties will include identifying and vetting AI/ML projects, coding and refining ML models, and working with our researchers to quickly learn new fields.

You must be comfortable working with the domain experts who will guide your ML expertise and assist you in coming up to speed on the relevant subjects. The work you will do requires daily software development, as you implement and tune models to be deployed in our products. You will also need to stay current on the AI/ML literature, in order to stay ahead of the competition and to tackle the unique challenges faced by our global customer base.

What will you do?

• Design and develop ML models for various instruments
• Design and implement algorithms for analysis on a wide range of systems
• Design and build continuous training processes for ML models on internal and external data
• Lead and perform data analysis
• Collaborate with cross-functional teams to develop best-in-class ML solutions
• Collaborate with other software engineering teams to incorporate algorithms into commercial software and hardware products
• Innovate and invent new solutions to solve challenging problems in order to improve system performance and efficiency

How will you get here?

Required Education, Experience, and Qualifications

• Demonstrated passion for artificial intelligence (AI) and machine learning (ML)
• Proficient in Python and Linux
• Proficient in at least one deep learning framework such as PyTorch, TensorFlow, Caffe2, or others
• Excellent understanding of AI techniques and algorithms, such as deep learning, CNNs, RNNs, decision trees, clustering, ensembles, etc.
• Bachelor’s degree or higher in AI/ML, computer science, statistics, applied mathematics, physics, bioinformatics, electrical engineering, or a similarly quantitative discipline
• Solid foundation in mathematics, especially probability, classical and Bayesian statistics, linear algebra, differential equations, and calculus

Desirable Education, Experience, and Qualifications

• 2+ years industry experience with software development in a production environment, especially with AI/ML
• A portfolio of relevant work available for review online, to include course assignments
• Proficiency in C++, C#, and other programing languages
• Experience developing algorithms in a cloud computing environment
• Experience with AWS and/or Azure
• Knowledge of current deep learning models and commercially-available deep learning products for life sciences, genomics, materials science, computer vision, etc.
• Experience with big data, data science, data wrangling, and databases
• Understanding and/or experience working in an Agile/Scrum development environment

Knowledge, Skills, Abilities

• Excellent problem-solving abilities in both familiar and unfamiliar domains
• Able to comprehend complex data and use it to troubleshoot issues
• Ability to understand foundational research in ML and an aptitude for scientific R&D across numerous disciplines
• Desire to continuously improve processes and practices
• Discipline, pride, and professionalism to write clean code
• Excellent written and verbal communication skills
• Ability to engage with innovation leaders globally and high-level R&D leaders within a large, global company
• Enthusiastic about new technologies and how AI/ML can accelerate R&D, yet realistic in its potential and its application
• Eligible for passport and ability to travel internationally