Machine Learning - Summer/Fall Co-Op

Key Skills

HTML, JavaScript, CSS, Python Programming, SQL, Machine learning techniques, Natural Language Processing (NLP)

Job Description

The Machine Learning Co-Op will work with the Analytics Team, which is focused on delivering value to the Diversified Analog Solutions Operations Team.

You will architect the bridge between our SQL Decoder instance and production web interface, ensuring reliable data retrieval through RAG-enhanced queries.

This is a growth-oriented internship. We prioritize curiosity and foundational programming skills over complete expertise.

You will receive mentorship on integrating SQL Decoder and implementing RAG patterns.

Qualifications

• Currently pursuing an M.S. in Statistics, Math, IS, Analytics, Data Science, or related field.
• Able to commit to the full duration onsite of the co-op opportunity (up to 6 months: June 2025 to December 2025)

Preferred Skills

• Candidates must demonstrate proficiency in at least 3 of these core areas:
• Building model-as-service architectures with Python web frameworks (FastAPI preferred) for model integration.
• Hands-on with SQL Decoder or similar OSS models for natural language to SQL conversion
• Frontend development fundamentals (JavaScript/HTML/CSS)
• Familiarity with Hugging Face pipelines and Lang Chain for LLM workflow orchestration
• Implementing RAG patterns with SQL Server schema context injection
• While experience with SQL Decoder is ideal, we welcome candidates with exposure to similar NLP models through academic projects or open-source contributions.

The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.