Transcarent→
Machine Learning Engineer Intern at Transcarent in Remote
InternshipRemoteFull-timeRemote
Skills
sqlpythonml evaluation methodsllmsprompt engineeringlangchainlanggraphcloud platformsgitversion controlcollaboration skillscommunication skills
Job Description
Summary: Transcarent is a health and care platform that integrates various medical and pharmacy solutions with a generative AI-powered experience. The role involves working on Wayfinding projects, gaining exposure to engineering practices, and collaborating with experienced engineers while being guided by a formal mentor.
Responsibilities:
- Work on Wayfinding projects that impact the business and contribute to Transcarent’s mission of better health and care
- You'll gain exposure to how a real engineering team works, from sprint planning to shipping code
- You’ll be exposed to experienced engineers from all backgrounds (web development, mobile, API, Salesforce, etc.)
- You'll have a formal mentor on your team guiding you throughout your internship period
Required Qualifications:
- Currently pursuing a degree in Computer Science, Data Science, Information Systems, or a related field
- Proficiency in SQL and Python
- Familiarity with LLMs and prompt engineering, including concepts like tool-use, retrievalaugmented generation (RAG), and structured outputs
- Familiarity with LangChain and LangGraph, including building agentic workflows, tool calling pipelines, and multi-step orchestration patterns
- Experience working with ML evaluation methods, such as benchmarking, automated testing, rubric-based grading, or model performance analysis
- Ability to work in a fast-paced environment, communicate clearly, and collaborate across engineering, product, and research teams
- Familiarity with cloud platforms (AWS, GCP, Azure) is a plus
Preferred Qualifications:
- Experience with tools like LangChain, Langsmith, and Snowflake
- Coursework or project work involving building agents with RAG capabilities
- Basic understanding of Git and version control workflows
Required Skills: SQL, Python, ML evaluation methods
Important Skills: LLMs, prompt engineering, LangChain, LangGraph, Cloud platforms
Nice-to-Have Skills: Git, version control, Collaboration skills, Communication skills
Benefits: Competitive medical, dental, and vision coverage, Competitive 401(k) Plan with a generous company match, Flexible Time Off/Paid Time Off, 13 paid holidays, Protection Plans including Life Insurance, Disability Insurance, and Supplemental Insurance, Mental Health and Wellness benefits
Benefits
Competitive medical, dental, and vision coverage
Competitive 401(k) Plan with a generous company match
Flexible Time Off/Paid Time Off, 13 paid holidays
Protection Plans including Life Insurance, Disability Insurance, and Supplemental Insurance
Mental Health and Wellness benefits