Apply foundational knowledge of computer science and mathematics to solve real-world challenges
Work closely with senior engineers to support the machine learning lifecycle
Assist in the design, implementation, and testing of machine learning models
Help build and maintain data preprocessing pipelines
Conduct experiments to measure model accuracy and efficiency
Participate in code reviews and contribute to shared codebase and technical documentation

Requirements

Currently enrolled in an undergraduate degree program
Strong foundational knowledge of programming languages such as Python, Java, or C++
Experience using standard data analysis libraries like NumPy, pandas, or Matplotlib
Basic understanding of core machine learning concepts
Solid mathematical background in linear algebra, calculus, and probability/statistics
Able to legally live and work in the country for which you're applying without visa support or sponsorship

Benefits

Medical, dental and vision insurance
401(k) plan with a Cisco matching contribution
Paid parental leave
Short and long-term disability coverage
Basic life insurance
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday
Paid year-end holiday shutdown
4 paid days off for personal wellness
16 days of paid vacation time per full calendar year for non-exempt employees
Flexible vacation time off program for exempt employees
80 hours of sick time off provided on hire date and each January 1st thereafter
Up to 80 hours of unused sick time carried forward from one calendar year to the next
Optional 10 paid days per full calendar year to volunteer
Eligibility for annual bonuses

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavaC++NumPypandasMatplotlibmachine learningdata preprocessinglinear algebracalculus