Machine Learning Engineer

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 provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning capabilities and support business innovation.

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 5-8 years relevant experience

Proven experience in ML model development and deployment

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