Work Schedule

Environmental Conditions

Job Description

About the Role

Join as a driven Software Engineering Intern skilled in machine learning and Java/Spring development.

Responsibilities

• Develop and prototype features using LLMs, RAG pipelines, AWS-hosted data lakes, model deployment, inference, and monitoring

• Develop or fine-tune agents capable of handling scientific workflows and knowledge retrieval

• Participate in full-stack software development involving Java, Spring Framework, Spring Boot, AngularJS, Electron, PostgreSQL, and Tomcat

• Integrate and test services with AWS components (e.g., S3, DynamoDB, Lambda, Bedrock/SageMaker, Redshift, etc.)

• Establish CI/CD pipelines with the use of GitHub Actions, self-hosted runners, and deployment automation

• Implement automated test cases (unit, integration, and regression)

• Work together with senior engineers and the SCM team to incorporate security tools like CodeQL, SonarQube, Qualys, GitHub X-ray, and SBOM generation tools.

• Participate in agile sprints and contribute to development reviews, code reviews, and feature demos

Required Qualifications

• Currently pursuing a Bachelor's Degree in Computer Science, Data Science, Machine Learning, or a related technical field

• Hands-on experience with machine learning, LLMs, transformers, and agent frameworks (LangChain, Haystack, or similar)

• Experience building RAG pipelines using vector search (e.g., FAISS, Weaviate) and AWS data lakes

• Strong skills in Java, Spring Framework, and REST API development

• Experience with AngularJS or modern JavaScript frameworks

• Familiarity with PostgreSQL, Tomcat, Apache or Nginx

• Working knowledge of automation testing frameworks (JUnit, Selenium, etc.)

• Familiarity with GitHub Actions, continuous integration/continuous deployment pipelines, and containerized deployments

• Familiarity with cybersecurity tools like CodeQL, SonarQube, SBOM generation, GitHub security features, and Qualys scanning tools

Preferred Qualifications

• Experience deploying LLMs on cloud platforms (AWS Bedrock, SageMaker, or Azure OpenAI)

• Understanding secure software development and vulnerability management protocols

• Familiarity with scientific or laboratory workflows is a plus

What You’ll Gain

• Exposure to high-impact scientific applications and real-world AI/ML deployments

• Opportunity to work on enterprise-grade software development and cloud infrastructure

• Hands-on mentorship from experienced software engineering professionals

To qualify, applicants must be legally authorized to work in the United States and should not require sponsorship (current or future) for employment visa status. Thermo Fisher does not offer employment in this position to holders of F-1, J-1, H-1, OPT, and CPT Visas for the purpose of obtaining practical experience.

Compensation and Benefits

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