Senior Machine Learning Engineer

Q2 India; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health & Wellness

Hybrid Work Opportunities

Flexible Time Off

Career Development & Mentoring

Health & Wellness Benefits

Community Volunteering & Company Phil.

Employee Peer Recognition Programs – “

Job summary

Q2 is a leading provider of digital banking and lending solutions. As a Machine Learning Engineer, you will design and deliver production-ready AI solutions, develop tools, APIs, and backend services, and help shape the future of our AI platform.

You will work across the stack, prototype ideas, and turn innovation into real customer value alongside a team that values creativity, ownership, continuous learning, and shipping great products.

Qualifications

• Bachelor’s degree or higher in a relevant field.
• 5+ years of professional software/ML/AI engineering experience with production ownership.
• Strong Python and backend/API development skills.
• Experience with cloud infrastructure, containers, and deployment (Kubernetes/Docker/MLOps).

Responsibilities

• Design, build, and deliver production-ready AI capabilities and services.
• Develop scalable APIs, microservices, and data integrations for AI-powered products.
• Improve AI infrastructure: evaluation frameworks, deployment pipelines, monitoring, and testing.
• Collaborate with product, engineering, data, and platform teams across the stack.

Skills

Python

APIs

Backend services

Cloud infrastructure

Kubernetes

Docker

MLOps

LLMs

Education

Bachelor’s degree in relevant field

Tools

Docker

Kubernetes

Cloud platforms

Job description

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.

The Job At-A-Glance: Join a fast-growing AI engineering team building the next generation of intelligent products for the financial services industry. As a Machine Learning Engineer, you'll design and deliver production-ready AI solutions, develop the tools, APIs, and backend services that enable them, and help shape the future of our AI platform. From evaluation frameworks, deployment pipelines, and microservice-based AI capabilities to next-generation agentic workflows, you'll have the opportunity to work across the stack, prototype new ideas, and turn innovation into real customer value. We're looking for engineers who are passionate about technology, committed to building high-quality, enterprise-grade software, and who thrive in collaborative environments. The ideal candidate stays current with the rapidly evolving AI landscape, enjoys solving meaningful problems, and is excited to help build innovative solutions alongside a team that values creativity, ownership, continuous learning, and shipping great products.

A Typical Day: Design, build, and deliver production-ready AI capabilities, services, and applications that solve real customer and business problems. Develop scalable APIs, microservices, data integrations, and backend systems that enable AI-powered products and workflows. Build and improve the infrastructure surrounding AI systems, including evaluation frameworks, deployment pipelines, monitoring, observability, and automated testing. Prototype and evaluate emerging AI technologies, including LLMs and agentic workflows, and turn successful ideas into reliable, enterprise-grade solutions. Work across cloud infrastructure, data platforms, and application layers to integrate AI capabilities into the broader Q2 technology ecosystem. Collaborate closely with product, engineering, data, and platform teams to define solutions, make technical tradeoffs, and take ideas from early exploration through production.

Bring Your Passion, Do What You Love.

Here’s What We’re Looking For: Typically requires a Bachelor’s degree in (relevant degree) and a minimum of 5 years of related experience; or an advanced degree with 3+ years of experience; or equivalent related work experience. 5+ years of professional software/ML/AI engineering experience, with meaningful production ownership. Strong software engineering fundamentals and a track record of designing, building, deploying and maintaining production systems. Strong Python, while experience with other backend/application languages such as C#, Java, TypeScript, etc. is valuable. Experience building APIs, backend services, microservices, data integrations or distributed systems. Hands‑on experience with cloud infrastructure, containers and production deployment; Kubernetes/Docker/MLOps experience is particularly valuable. Experience building or operating ML/AI systems in production, including evaluation, monitoring, observability and deployment pipelines. Exposure to LLM applications, RAG, agentic workflows, model/tool integration or similar modern AI patterns. Ability and willingness to work across traditional boundaries—AI, backend, infrastructure, data and occasionally UI/application code. Strong ownership, curiosity and comfort operating in an environment where patterns and solutions are still being established. 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.

Benefits include:

• 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.

Mission Q2’s mission is to build strong and diverse communities by strengthening their financial institutions.

That mission shapes the technology we build, how we serve our customers, and how we show up for each other.

Vision We started with a straightforward belief: technology could fundamentally change how financial institutions serve their communities. More than 20 years later, that belief still drives us.

Q2 delivers digital banking and lending solutions that help financial institutions deepen relationships, improve experiences, and grow. Across every department and region, Q2 team members bring creativity, collaboration, and purpose to building technology that makes banking stronger, easier, and more human.

Culture & Values Q2’s culture is built by Q2ers and grounded in ten guiding principles that define how we show up for each other, our customers, and our communities. We take our mission seriously. We also have fun doing it. Teams across the company work together to solve hard problems, move quickly, and make a real impact on the financial institutions and communities we serve.

We’re also helping shape how AI is applied in financial services, bringing the same disciplined, banking-first approach Q2 has practiced for more than 20 years to this next chapter of innovation.