Machine Learning Engineer II Recommendation Systems- Credit Karma
Role summary
Intuit Credit Karma is seeking a Machine Learning Engineer II specializing in Recommendation Systems. This role focuses on developing and optimizing a state-of-the-art recommendation platform, including deep learning-based retrieval and ranking systems. The engineer will build and optimize backend services, design scalable solutions for real-time events, and tune system performance for low latency. Collaboration with product, data science, and other engineering teams is key. The position requires proficiency in Scala or Java, strong understanding of OOP, design patterns, algorithms, system architecture, and deployment strategies. Experience with cloud services and distributed systems is a plus.
Overview
Intuit Credit Karma’s Online RecSys team is looking for a Software Engineer II/Software Engineer III. Our team is focused on delivering personalized financial recommendations that empower millions of our members to make informed financial decisions.Our team develops state-of-the-art recommendation platform, including (but not limited to) deep learning based retrieval and ranking systems for personalized recommendations. You'll work on building and optimizing the backend services that powers these recommendations, collaborating closely with other software engineers, data scientists, and data engineers. This is a role where you can make an impact on how millions of people manage their financial live.
Responsibilities
- Develop and Optimize our recommendation platform.You will contribute to a wide variety of software engineering projects that power our recommendation platform and help deliver value to our members
- You will design and implement scalable solutions that handle large volumes of real-time events
- Contribute to system performance tuning and scalability to ensure low latency of recommendations
- You’ll work closely with product, data science and other engineering teams and be in charge of the development of your product features--you'll scope and independently solve moderately complex problems
- Identifying ways to improve our technology and process
- Participating in code and technical design reviews
Qualifications
- Proficient in Scala or Java with solid foundation in object-oriented programming, design patterns, algorithms, and system architecture
- Strong problem-solving skills with the ability to work through complex ambiguous challenges and collaborate effectively within a team
- Strong understanding of deployment strategies and production infrastructure needs
- You bring a strong sense of empathy, while still being able to challenge the status quo
- MS/PhD in Computer Science, ML , Information Sciences or related fields is a plus
- Experience with using cloud services and designing distributed systems is a plus
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $140,500-$190,000