Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
The position is based in Austin and requires joining the engineering team there.
Strong programming skills in at least one modern language are required, with the team's stack mostly using Python and TypeScript, though mastery of any language is acceptable.
Typically requires a Bachelor's Degree and 5+ years of experience.
Q2 emphasizes passion for its people, invests in growth through learning opportunities, mentorship, and internal mobility, and fosters collaboration and fun with events like the “Circle of Awesomeness” awards and Dodgeball for Charity.
A strong candidate has deep experience using AI tools in software development, a growth mindset that's adaptable and curious, and the ability to solve complex problems, plus nice-to-haves like LLM frameworks and cloud platforms.
Digital banking solutions for financial institutions
Q2 provides digital banking solutions tailored for regional and community financial institutions, alternative finance and leasing companies, and other financial technology firms. Their products include a range of digital banking services, banking as a service, and lending and leasing options that allow users to conduct transactions and interact with their financial institutions from any device, at any time. What sets Q2 apart from its competitors is its focus on empowering community banks and credit unions, helping them enhance their digital presence and improve user engagement. The company's goal is to strengthen diverse communities by supporting the financial institutions that serve them, enabling these institutions to grow and adapt beyond traditional limits.