• Lead the design and implementation of Feature Enhancements for internal Python SDK frameworks. • Provide expert-level technical support and proactive maintenance for the Python SDK ecosystem. • Develop and scale agentic workflows using modern Agentic Frameworks. • Architect and deploy scalable, high-performance APIs using FastAPI. • Design and maintain robust automated pipelines using Jenkins and GitLab Runners. • Utilize Galileo for model evaluation and observability.

Ibotta is seeking a Staff Machine Learning Engineer to join our Core Data & Analytics team and contribute to our mission to Make Every Purchase Rewarding. We’re looking for someone who has a passion for building scalable machine learning solutions using technologies and tools such as Python, Spark, Databricks, AWS, Sagemaker, etc. As a Staff Machine Learning Engineer, you will act as a technical leader and delivery owner for complex, high-impact ML initiatives spanning foundation models, data systems, and large-scale ML platforms. This role will immediately impact ML strategy and drive impact through the support, guidance, and collaboration with multiple teams as part of our analytics organization. We’re looking for a technical leader to further mature our current infrastructure and abstractions and identify new opportunities to add value through ML applications. This position is available in multiple locations: Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NY, NC, OH, OK, PA, TN, TX, UT, VA, WA, WI. Not based in one of these areas? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Lead the design, development, and deployment of production-grade ML systems across the organization. - Work with Ibotta architecture and Machine Learning Platform teams to ensure integration of machine learning services and pipelines in larger technology infrastructure. - Act as a liaison between technical teams and non-technical stakeholders to communicate complex concepts clearly. - Communicate complex machine learning solutions, concepts and the results of analyses in a clear and effective manner to business stakeholders and technology leaders to maximize the effectiveness of machine learning initiatives. - Mentor ML Engineers and Data Scientists, fostering a culture of technical ownership, rigorous experimentation, and best practices. - Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere What we are looking for: - 6+ years of professional industry experience as a Machine Learning Engineer or Software Engineer, focused on deploying machine learning systems at scale. - Advanced knowledge of multiple ML frameworks like: Sklearn, TensorFlow, Sagemaker, Spark ML. - Expertise working with distributed big-data tools and event-based architectures, ideally Spark and Kafka. - Deep hands-on experience prototyping, building, releasing, and monitoring mission-critical machine learning models in high traffic applications. - Experience working within a cloud-based infrastructure, ideally AWS. - Track record of mentoring junior engineers or leading cross-functional initiatives. About Ibotta ("I bought a...") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com. Additional Details: - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals. - Base compensation range: $206,000 - $230,000 Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Remote #BI-Remote #BI-Hybrid

• Collaborate closely with engineering, product, and data science teams to understand business challenges and the potential for machine learning and AI solutions. • Develop tools and automate manual processes to improve operational efficiency, accelerate experimentation velocity, and minimize human error. • Build, integrate, and monitor the end-to-end lifecycles of large-scale, distributed machine learning systems. • Investigate model performance and identify data quality and performance issues.

Cox Automotive operates Manheim, the largest wholesale vehicle auction network in the US. Between our mobile apps and imaging tunnels we see more than 10,000 vehicles and roughly 20 million images every week. That imagery is one of the largest and most diverse vehicle image catalogs in the world and is the raw material for this role. We are looking for a Senior Machine Learning Engineer to join the team automating damage detection for our auction and mobile use cases. As part of that team, you will build computer vision models for vehicle damage detection, classification and segmentation. Your models will run in production on mobile devices and auction sites across the country. They will directly affect how vehicles are valued, described and sold. This role covers the entire ML lifecycle. You will draw on our extensive catalog of vehicle information in addition to raw imagery. Based on business needs you will identify and mine new datasets, work with our 3rd party labeling team to refine them, select architectures and train proof-of concept/updated models before incorporating them into our production pipelines. You will have the opportunity to see your work progress from early R&D to production. WHAT YOU'LL DO - Design, train and ship damage detection and segmentation models from dataset curation through deployment. - Contribute to technical direction on model architecture, including CNNs & transformers. - Leverage LLMs, VLMs & agentic workflows to streamline dataset mining & collection. - Partner with our annotation teams to build the datasets that make these models work. - Deploy models to production on server & mobile in collaboration with other teams. - Help set the technical bar for the team's code, experiments, and reproducibility. - Occasional travel to attend meetings, conferences or production facilities may be required. WHO YOU ARE MINIMUM QUALIFICATIONS - One of the following: Bachelors with 4+ years of relevant industry experience or, MS with 2+ years or, PhD with 1+ year or, 16 years of industry experience with no degree. Degrees should be in CS, Engineering, Mathematics, or a related field. - Minimum 2 years of experience in machine learning with a focus in Computer Vision - Proven ML model development experience in detection, segmentation, and/or classification. - Clear technical communication. You will be explaining trade-offs to product, engineering, and business stakeholders regularly. - Comfort across the full stack of an ML system, including data, training & evaluation. - Strong hands-on experience with OpenCV & NumPy for image processing and data preparation using classical CV algorithms. PREFERRED - C++ for performance-critical paths. - Mobile deployment experience for Android and/or iOS. - Multi-view geometry, Structure-from-Motion, or 3D reconstruction background. - Machine vision camera and hardware experience. - Familiarity with AI coding assistants, including their benefits and pitfalls. LOGISTICS - open to US remote- You can be based anywhere in the US excluding California or New York. - Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future. USD 111,500.00 - 185,900.00 per year Compensation: Compensation includes a base salary in the range of $111,500.00 - $185,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Application Deadline: 06/28/2026 EOE, including disability/vets