Assist in the design, implementation, and testing of machine learning models to solve specific business or technical problems
Help build and maintain data preprocessing pipelines to ensure high-quality input for training and evaluation
Conduct experiments to measure model accuracy and efficiency, using standard metrics to document and report findings
Work within an agile environment, participating in code reviews and contributing to the team’s shared codebase and technical documentation

Requirements

Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience
Relevant fields include: Computer Science, Data Science, Statistics, Electrical Engineering, or a related technical field
Strong foundational knowledge of programming languages such as Python, Java, or C++
Basic understanding of core machine learning concepts, including supervised and unsupervised learning, regression, and classification
Solid mathematical background in linear algebra, calculus, and probability/statistics
Experience using standard data analysis libraries such as NumPy, pandas, or Matplotlib through coursework or personal projects

Benefits

medical, dental and vision insurance
a 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, plus 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
optional 10 paid days per full calendar year to volunteer

Applicant Tracking System Keywords

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

Hard Skills & Tools

machine learningdata preprocessingmodel accuracymodel efficiencyPythonJavaC++supervised learningunsupervised learningdata analysis

Soft Skills

team collaborationcode reviewstechnical documentationproblem solvingcommunication