Algorithm & AI Engineer

Key Skills

Algorithms, AWS, AWS Sagemaker, Azure, Framework, Machine learning techniques, Python Programming

Job Description

Algorithm & Artificial Intelligence Intern When you are part of the team of more than 75,000 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! The Algorithm & Artificial Intelligence Internship position provides an opportunity for science or engineering students who would like to get hands on experience working with engineers in a fast-paced R&D environment. You will focus on developing AI solutions that will make our scientific instruments smarter and enable the next generation of scientific discovery. You can expect to gain valuable insights into your chosen career field. What are the exciting things will you be working on? · Prepare and pre-process data for processing with Machine Learning (ML) and/or Deep Learning (DL) Algorithms. · Prepare and curate data for statistical analysis. · Evaluate the effect of various ML/DL architectures on the performance and errors. · Analyze data for specific patterns and understand how to express that in terms of the ML/DL architectures investigated and chosen. · Evaluate algorithm performance. · Create presentations describing the work (typically every 3 weeks) Day in the life:

• You will be responsible for converting the data from proprietary format to a format more convenient for deep learning training and testing.
• You will conduct data analysis and visualization and communicate with the team on a weekly (or occasionally bi-weekly basis) about your findings and progress to facilitate group discussion, get feedback, help with decision making, and to build relationships.
• You will design, train, and tune deep learning models either locally on your computer or on AWS environment.
• You will have the opportunities to engage with the extended team to better understand the domain technical issues and customer need for fragment analysis.
• Skills and Abilities Expected ·
• Strong understanding of, and experience using, ML and DL algorithms. ·
• An interest in numerical techniques and signal processing ·
• Proficiency with a software language, preferably Python. ·
• Ability to work independently and as a member of a cross-functional team. ·
• Make technical presentations to the cross-functional team. ·
• Willingness to learn, be mentored, and improve.

Qualifications

• Nearing completion of a master’s degree, or preferably far along towards completion of a higher degree (PhD)in the sciences or engineering
• Proficiency with Python and machine learning frameworks such as Amazon SageMaker, Azure Machine Learning/AI services.
• Strength with large language models is a plus. Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. ACCESSIBILITY/DISABILITY ACCESS Job Seekers with a Disability: Thermo Fisher Scientific offers accessibility service for job seekers requiring accommodations in the job application process. For example, this may include individuals requiring assistance because of hearing, vision, mobility, or cognitive impairments. If you are a job seeker with a disability, or assisting a person with a disability, and require accessibility assistance or an accommodation to apply for one of our jobs, please submit a request by telephone at 1-855-471-2255*. Please include your contact information and specific details about your required accommodation to support you during the job application process. *This telephone line is reserved solely for job seekers with disabilities requiring accessibility assistance

Compensation and Benefits

The hourly pay range estimated for this position based in California is $14.75–$45.75.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

• A choice of national medical and dental plans, and a national vision plan, including health incentive programs

• Employee assistance and family support programs, including commuter benefits and tuition reimbursement

• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy

• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

• Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards