Role Description Iron Mountain is seeking a motivated Global Platforms & Technology Machine Learning Intern to join our AI Services team. In this role, you will be responsible for developing and optimizing applied AI systems, including Large Language Model (LLM) applications and Agentic platforms, to solve real-world enterprise challenges. What You’ll Do - Develop and implement AI features for Agentic platform, focusing on System APIs and long-term enterprise software development. - Collaborate with cross-functional engineering leads and peer groups environment to scale AI products for global enterprise use cases. - Ensure compliance with core computer science fundamentals such as data structure and algorithms, theory of computation, discrete mathematics, and software engineering by writing clean, efficient code in Golang or JVM languages. Qualifications - Current enrollment in a Computer Science or related Bachelor’s (rising junior or senior only) or Master’s degree program graduating May 2027 OR after May 2028. - Strong knowledge of Machine Learning including deep Learning, NLP, and Reinforcement Learning, core algorithms, and mathematics. - Proven ability in Golang or JVM languages (Java/Kotlin), with experience in API services development and a high-level proficiency of Python. - Data engineering background in applications such as batch processing and query engineering is a significant plus. - US Citizenship required; please note that we are unable to provide sponsorship for this position. Requirements - Strong programming skills in Golang or JVM languages. - Understanding of core computer science fundamentals. - Experience in developing AI features and API services. Benefits - Salary details: $27.00 per hour. - Shifts: Standard business hours during the program. - Location: Tampa, FL or remote. - Competitive compensation and benefits aligned with the experience. - Paid time off/holidays according to regional intern policy. - Flexible work options to support work–life balance.

• Evaluate current pipelines, data architecture, and ML workflows, producing a prioritized, opinionated plan for what needs to change and why • Design data and ML systems anchored in customer needs and built to last • Rebuild and harden pipelines, upgrade data architecture, and ship fixes directly • Raise the bar on observability, reliability, and data quality, establishing patterns and practices for the team.

Role Description We are looking for a Senior Machine Learning Engineer to own search and recommendation systems for Sekai’s consumer product. This role sits at the center of content discovery, user engagement, and content distribution. You will build the models and systems that decide what users see, what they search for, what they continue playing, and how high-quality content reaches the right audience. This is a senior IC role for someone who has built real recommendation, search, ranking, or discovery systems in production for consumer apps, especially in entertainment-driven products. What You Will Own - Build and improve recommendation and search systems across feed, discovery, search, and content continuation surfaces. - Own retrieval and ranking systems, including candidate generation, embedding-based retrieval, two-tower models, ranking features, and online serving quality. - Design, launch, and analyze recommendation/search experiments end-to-end, then use the data to iterate quickly. - Improve recommendation quality for new users, new content, and fast-changing content pools. - Build user, content, creator, and session-level representations from behavioral signals. - Partner with product, data, and engineering teams to define metrics, run experiments, and ship measurable improvements to retention, engagement, and content distribution. - Build practical ML systems that can move from prototype to production quickly, with clear monitoring and evaluation. - Help shape the long-term ML architecture for AI-native content discovery. Qualifications - 5+ years of industry experience building production ML systems, with senior-level ownership of recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems. - Hands-on experience building recommendation or search systems for consumer apps. - Experience working on entertainment, social, gaming, short-form content, creator, or other engagement-driven consumer products. - Strong practical experience with two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation. - Strong product intuition around relevance, retention, engagement, satisfaction, cold start, and content distribution. - Ability to translate messy user behavior into useful modeling signals and practical product improvements. - Strong engineering fundamentals across modeling, data pipelines, backend integration, experimentation, and production ML systems. - High ownership, fast execution, and clear communication in ambiguous product environments. Requirements - Experience with AI recommendation, LLM-powered ranking, semantic search, personalized generation, or AI-native content understanding. - Experience with UGC content ecosystems, creator marketplaces, or rapidly changing content catalogs. - Experience with multimodal content understanding across text, image, video, interaction traces, or generated content. - Experience with explore/exploit, contextual bandits, reinforcement learning, or long-term value optimization. - Startup experience or experience building 0-to-1 ML systems with limited infrastructure. Benefits - Top compensation package, including competitive salary and meaningful equity. - Remote-first team. - Comprehensive health insurance and benefits.

Requisition Number: 2369412 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are redefining how clinical teams work by embedding AI directly into Utilization Management (UM) and Care Management (CM) workflows - where decisions impact real patients every day. Our team partners closely with clinical leaders, business stakeholders, and operations teams to identify high value pain points and turn them into scalable, production ready AI solutions that improve efficiency, quality, and clinician experience. This is not a research only or sandbox AI role. Our solutions are actively deployed within clinical workflows, helping nurses, care managers, and clinicians spend less time on manual, administrative effort and more time delivering care. From intelligent case summarization to workflow automation and decision support, we focus on pragmatic AI that delivers measurable impact at scale. As a Lead AI/ML Engineer, you will drive end to end ownership - shaping problem statements with the business, designing and implementing AI/ML solutions, and ensuring they integrate seamlessly into existing platforms and workflows. You will influence technical direction, mentor other engineers, and play a key role in operationalizing AI responsibly within a regulated healthcare environment. If you're excited about using AI to solve real clinical problems, enjoy working closely with cross functional partners, and want your work to directly improve how care is delivered to patients, this role offers a rare opportunity to do exactly that. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Design, develop, and maintain full stack applications using Next.js, React, and modern TypeScript patterns - Build and integrate LLM powered capabilities (e.g., summarization, search, assistants, decision support) using industry standard AI frameworks and APIs - Design and optimize backend services and APIs, ensuring scalability, reliability, and security - Develop and manage data models and queries using PostgreSQL, focusing on performance and data integrity - Deploy, monitor, and operate applications on Microsoft Azure (App Services, Containers, Functions, Storage, AI services, etc.) - Implement best practices for cloud architecture, CI/CD pipelines, observability, and cost optimization - Collaborate with architects and AI engineers on system design, model integration, and platform capabilities - Write clean, testable, and well documented code; lead by example in code reviews and technical standards - Mentor junior engineers and contribute to technical decision making and solution direction You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor's degree in Computer Science (or related field) or 4+ years of equivalent software engineering experience - 7+ years of professional software engineering experience, including full stack development - 3+ years of experience with CI/CD pipelines, automated testing, and cloud native deployment models - 3+ years of experience with Next.js / React, TypeScript, and modern frontend architectures - 3+ years of backend development experience with Node.js (or equivalent server side frameworks) - 3+ years of experience working with PostgreSQL or other relational databases - 3+ years of experience building and deploying applications on Microsoft Azure - 3+ years of experience working with RESTful APIs, authentication/authorization, and secure application design - 2+ years of experience integrating AI/LLMs into applications (prompting, orchestration, APIs, etc.) Preferred Qualification: - Proven excellent problem solving skills and ability to work across ambiguous problem spaces *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 - $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #OptumTechPJ