• Build predictive models (forecasting, time series, trend analysis) on real-world program and financial data. • Design anomaly / outlier detection to surface risks, inefficiencies, and non-obvious patterns. • Own feature engineering, model evaluation, and interpretability (feature importance, SHAP-style analysis). • Work end-to-end from exploration → modeling → business-facing insights. • Partner with product and analytics teams to turn models into decisions.

Role Description As the Team Lead, Learning and Development, you’ll play a vital role in ensuring smooth collaboration within the Instructional Design Team, your departmental colleagues, as well as subject matter experts and stakeholders in other departments. You will lead the coordination of project timelines, manage approvals, facilitate communication, and support the overall workflow of our learning programs. This role is ideal for someone who thrives on structured planning, strong communication, and turning goals into actionable steps for the team. Key Responsibilities - Plan learning design projects with instructional designers, ensuring timelines, responsibilities, and deliverables are met, while fostering a positive, collaborative team environment. - Translate project plans into clear task lists, assigning responsibilities and monitoring progress across the team. - Serve as the main point of contact for other teams and stakeholders, building positive relationships, ensuring clarity, and aligning expectations throughout the project lifecycle. - Organize and track the status of project approvals and reviews, proactively following up to keep workflows moving. - Support people management functions such as assigning projects based on skills fit, monitoring capacity, and escalating bottlenecks where needed. - Develop and manage a limited number of your own e-learning projects as an instructional designer. - Support broader communication efforts – planning training launches, crafting clear, engaging messaging for both internal teams and client-facing audiences. - Contribute to process improvements that enhance team collaboration and the scalability of INFUSE Academy operations. Qualifications - Minimum 3 years of Mid-/Senior-level ID role experience or similar role within the L&D department. - 1+ year of experience in team coordination, leadership, or project management within learning or related fields. - Strong AI literacy. Experience with creating custom GPTs and scaling solutions across teams is a strong advantage. - Strong communication and relationship-building skills, with experience in managing change within teams. - Stakeholder Management – ability to effectively network & build relationships internally & externally. - Highly organized with a proactive mindset and strong attention to detail. - Comfortable adjusting plans based on shifting priorities. - A team player who can keep things moving while fostering a collaborative, supportive environment. - Impeccable English oral and writing skills. Benefits - A dynamic and supportive team environment focused on innovation in learning. - Meaningful involvement in training initiatives with global impact. - Career growth potential within a fast-paced, purpose-driven team. - Possibility to learn cutting-edge e-learning tools and approaches. - Access to high-quality professional development resources and marketing insights.

• You will be part of a 35-person team of engineering enthusiasts specializing in sensors, IoT, and hardware. • Together with your colleagues you will take on the following tasks: • You will develop a next-generation localization product with a learning-based map architecture. • You will design and implement visual and acoustic sensor systems for drone detection. • You will develop a multi-sensor perception and fusion system for the drone early-warning system. • You will run machine learning and AI models directly on local sensors instead of on cloud servers. • You will design scalable machine learning models and deploy them directly onto the drone-detection devices. • You will implement scalable intelligence with low-latency inference. • Together with Fusion Engineers, MLOps and DevOps Engineers you will enable fast and secure deployments. • You will monitor systems, troubleshoot incidents, and continuously improve observability. • If you wish, you can support on-site deployments, collect sensor data, and validate the technology in controlled field trials.

botta is seeking a Principal 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 Principal 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 define ML strategy and drive impact through the support, guidance, and collaboration with multiple teams as part of our analytics organization. You’ll advance your technical leadership skills by establishing best practices for the team and company, while mentoring other Machine Learning Engineers and Data Scientists on the team. 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: - Research, design, and deploy the next generation of Ibotta's ML architectures, workflows, and standards that seamlessly integrate with key product features 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. - Be the leading contributor, voice, and thought leader in a growing community of machine learning practitioners. - Identify, research, prototype and evaluate cutting edge big data and machine learning technologies. - Act as a liaison between technical teams and non-technical stakeholders to communicate complex concepts clearly. - Lead the design, development, and deployment of production-grade ML systems across the organization. - 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. What we are looking for: - 10+ 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. - Extensive experience working within a cloud-based infrastructure, ideally AWS. - Experience driving org-wide ML strategy or setting technical standards across teams. - Track record of mentoring senior engineers or leading cross-functional initiatives. - Comfort operating with ambiguity and influencing without direct authority. 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: $228,000 - $253,000 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