• Design and maintain robust ML deployment pipelines to ensure seamless model delivery. • Automate model training, deployment, and monitoring workflows to increase operational efficiency. • Collaborate closely with Data Scientists and Engineering teams to integrate models into production environments. • Optimize cloud-based infrastructure to enhance the scalability and reliability of ML systems. • Implement CI/CD best practices specifically tailored for machine learning lifecycles. • Monitor production systems and proactively troubleshoot performance or governance issues.

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. We’re looking for an AI/ML Engineer to support our customers and join our passionate team of high-impact problem solvers. About the role: In your role as an AI/ML Engineer, you will collaborate with a cross-functional data team comprising of DevSecOps engineers, Product Owners, Data Engineers and Data Scientists. Your primary responsibility will be to develop machine learning models that are integral to a larger pipeline delivering value to our end customers. What we are looking for: - 3+ years of relevant hands-on experience, or a PhD in a related field with demonstrated practical application - Practical experience in Machine Learning models and Software Engineering - A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams - Experience building and maintaining machine learning platforms and pipelines - Experience in building machine learning models, and - Experience in using data processing frameworks (Apache Spark preferred) - Practical programming and scripting skills (Python preferred) - Fast learner, analytical thinker, creative, hands-on, strong communication skills - Able to work both independently and as part of a team - Excellent problem-solving skills and attention to detail. - Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps - Obtain Security+ within the first 90 days of employment with Raft Highly preferred: - PhD graduate - Publications or GitHub repos showcasing your skills Clearance Requirements: - Ability to obtain a Top Secret clearance with potential for SCI Salary: - $110,000-$165,000 - The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities Work Type: - Can work remotely from any of the following locations: Tampa FL, Hanscom AFB, Colorado Springs CO, San Diego CA, Tacoma WA, NCR (DC) - May require up to 35% travel What we will offer you: - Highly competitive salary - Fully covered healthcare, dental, and vision coverage - 401(k) and company match - Take as you need PTO + 11 paid holidays - Education & training benefits - Annual budget for your tech/gadgets needs - Generous Referral Bonuses - And More! Our Vision Statement: We bridge the gap between humans and data through radical transparency and our obsession with the mission. Our Customer Obsession: We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there? Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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

• Lead a high-performing Algorithms group through hiring, coaching, and performance management • Be accountable for the team’s delivery against goals • Support engineers in making technical decisions across model development • Help your team scope out and prioritize tactical work in connection with Beacon's strategic initiatives • Ensure your team's development roadmap is outcome-oriented and aligned with the company's objectives • Own project management responsibilities for team initiatives