Software Intern

Thermo Fisher Scientific • Pleasanton, CA

23h • Onsite

About The Position

Join as a driven Software Engineering Intern skilled in machine learning and Java/Spring development. As the world leader in serving science, our colleagues develop critical solutions through innovation—and build rewarding careers. 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, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. This role offers exposure to high-impact scientific applications and real-world AI/ML deployments, opportunity to work on enterprise-grade software development and cloud infrastructure, and hands-on mentorship from experienced software engineering professionals.

Requirements

• Currently pursuing a Master’s or Ph.D. 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

Nice To Haves

• 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

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

Benefits

• The hourly pay range estimated for this position based in California is $18.30–$27.45.
• 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.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 5,001-10,000 employees