Machine Learning Engineer
Q2
About the role
As passionate about our people as we are about our mission.
Why Join Q2?
Q2 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.
What Makes Q2 Special?
Being 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.
SUMMARY The Machine Learning Engineer plays a pivotal role in developing and applying AI technologies to drive innovation, streamline processes, and solve complex problems. You will design and implement algorithms that allow systems to learn from data and make predictions or decisions. Note: Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager
RESPONSIBILITIES • Design and implement machine learning algorithms and models for various business applications • Conduct research and experimentation to advance machine learning capabilities • Collaborate with cross-functional teams to integrate AI solutions into production environments • Analyze large datasets to extract meaningful insights and support data-driven decisions • Develop scalable machine learning pipelines and systems • Maintain up-to-date knowledge of emerging AI and machine learning trends • Ensure the quality and performance of AI systems through testing and validation EXPERIENCE AND KNOWLEDGE • Bachelor’s degree in related field and 2–5 years relevant experience • Proven experience in developing and deploying machine learning models and algorithms • Strong knowledge of statistics, optimization, probability theory, and experimental methodologies • Proficiency in programming languages such as Python, R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) • Familiarity with cloud platforms and scalable computing resources • Strong analytical, problem-solving, and collaboration skills
This position requires fluent written and oral communication in English.
Applicants 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.
Health & Wellness
Hybrid Work Opportunities
Flexible Time Off
Career Development & Mentoring Programs
Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
Community Volunteering & Company Philanthropy Programs
Employee Peer Recognition Programs – “You Earned it”
Click here to find out more about the benefits we offer.
Our Culture & Commitment:
We’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.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.
Applicants in California or Washington State may not be exempt from federal and state overtime requirements
Responsibilities
- Design and implement machine learning algorithms and models.
- Research and experiment to advance machine learning capabilities.
- Collaborate with cross-functional teams to integrate AI solutions into production.
- Analyze large datasets and develop scalable machine learning pipelines.
- Test and validate AI systems for quality and performance.
Qualifications
- Bachelor’s degree in a related field and 2–5 years of relevant experience.
- Experience developing and deploying machine learning models and algorithms.
- Knowledge of statistics, optimization, probability theory, and experimental methodologies.
- Proficiency in Python, R, or Java and experience with frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms and scalable computing resources.
- Strong analytical, problem-solving, collaboration, and English communication skills.
Benefits
- Hybrid work opportunities.
- Flexible time off.
- Health insurance and wellness benefits, including paid parental leave for eligible new parents.
- Career development, mentoring, and learning opportunities.
- Community volunteering and company philanthropy programs.
- Employee peer recognition programs.
Skills mentioned
About Q2
Q2 is a financial experience company dedicated to providing digital banking and lending solutions to banks, credit unions, alternative finance, and fintech companies in the U.S. and internationally. With comprehensive end-to-end solution sets, Q2 enables its partners to provide cohesive, secure, data-driven experiences to every account holder – from consumer to small business and corporate. Headquartered in Austin, Texas, Q2 has offices throughout the world and is publicly traded on the NYSE under the stock symbol QTWO. To learn more, please visit Q2.com. Interested in working for Q2? We are hiring! Visit our careers page here: https://www.q2.com/careers.
H-1B sponsorship history
Historical employer filing data was found for Q2. The employer record includes 210 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.