{"id":2530625,"url":"https://alion.io/job/q2ebanking-2027-summer-internship-machine-learning-engineer-2","title":"2027 Summer Internship - Machine Learning Engineer","company":{"id":179591,"name":"Q2 Holdings","domain":"q2.com","url":"https://alion.io/company/q2-holdings","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Claude Code","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-15T00:00:00Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-14T17:05:37Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":29},"description":"As passionate about our people as we are about our mission.\nWhy Join Q2?\nQ2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.\nWhat Makes Q2 Special?\nBeing as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 ChangeMakers awards program and global moments of recognition and connection. We invest in the growth and development of our team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun and giving back together. From company-wide volunteer days to events like our Q2 Homecoming Week-featuring learning, community service, and culture-building experiences-we create opportunities to connect, grow, and make an impact.\nProjects You Could Work On\nYou'll get exposure across the full lifecycle of applied ML - from model development and evaluation to deployment, monitoring, and improvement - on software that solves real problems for real customers. Recent intern projects on this team and others have included enhancing our Iso Framework, building data pipelines for operational insights, and researching new approaches to emerging problems.\nWhat You'll Do\nSupport research into emerging fraud and abuse patterns, and help translate findings into new detection ideas\nHelp build and test features for ML products across identity, behavior, and transaction fraud\nAssist in building and maintaining pipelines that support training, evaluation, and inference of ML models\nWrite clean, well-tested code alongside engineers, using modern AI-assisted development tools\nHelp monitor and troubleshoot production ML systems, including data pipelines and model performance\nWhat You'll Bring\nCurrently pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field\nCoursework or project experience with Python (R or Java a plus)\nExposure to ML frameworks or libraries such as TensorFlow, PyTorch, or scikit-learn\nFoundational knowledge of statistics, probability, or experimental methods\nStrong analytical thinking, curiosity, and a collaborative mindset\nNice to Have\nCoursework or personal projects involving fraud detection, risk modeling, or similar domains\nExposure to APIs, backend services, or working with large datasets\nComfort using AI-assisted development tools (e.g., Claude Code)\nThis position requires fluent written and oral communication in English.\nApplicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.\nOur Culture & Commitment:\nWe’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.\nWe are an Equal Opportunity Employer. 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