Machine Learning Engineering Manager - Surfaces Music

Join our team at Capital One as a Senior Manager of Technical Program Management for Machine Learning, where you will spearhead initiatives that drive significant business outcomes and develop large-scale products and platforms.At Capital One, we recognize the transformative potential of Machine Learning (ML) within the financial services sector. Our commitm…

About PolymarketPolymarket stands as the largest prediction market platform globally, offering individuals a unique opportunity to express their insights on real-world events by trading on outcomes in politics, economics, sports, culture, and current affairs. Our peer-to-peer marketplace operates without a centralized house, allowing us to aggregate diverse opinions into transparent, market-based probabilities that truly reflect collective expectations about the future.As we continue to expand rapidly, with an impressive $21B traded in 2025, we are positioning ourselves as an alternative source of news and insights. Our vision is to be a trusted beacon of truth in global media, and we invite you to join us in this mission.About the RolePolymarket is in search of a Senior Technical Program Manager who will bring organization and execution excellence to our dynamic engineering team. In this role, you will facilitate coordination among engineering teams, ensuring that cross-functional initiatives are delivered on schedule while establishing the systems and processes necessary for our growth.This position is foundational for our evolving organization. As we have experienced rapid growth, we currently lack formal PM processes. You will not merely implement existing frameworks; instead, you will design and develop them from the ground up.Key ResponsibilitiesDelivery & Execution: Oversee the complete delivery of technical projects encompassing backend services, infrastructure, and user-facing features. Take responsibility for timelines, dependencies, and alignment among stakeholders for our top priority initiatives.Cross-Team Coordination: Act as the central hub of coordination among engineering, product, and leadership teams. Proactively identify and mitigate blockers before they escalate into issues. Ensure all teams remain aligned on priorities and project sequencing.Process & Systems Development: Create and implement frameworks, rituals, and tools that enhance visibility into project progress while avoiding unnecessary bureaucracy.Technical Bridging: Facilitate the connection between product vision and engineering execution. A solid understanding of our architecture will be essential for scoping work and managing inter-team dependencies effectively.Documentation & Knowledge Management: Establish standards for technical documentation and decision records that are practical and utilized. Ensure asynchronous work is possible and our learnings are preserved.Stakeholder Communication: Manage communication with leadership and cross-functional partners, providing clear, actionable updates regarding project status, risks, and trade-offs.Team Development: As the organization grows, assist in building the program management function, which may include recruitment and mentorship of future team members.

Genius Sports is at the forefront of transforming the sports industry by combining cutting-edge technology with unparalleled live data to create an engaging and personalized experience for sports fans around the globe. Discover more about us at geniussports.com.The Role - Senior Technical Program ManagerWe are on the lookout for a Senior Technical Program Manager who will spearhead execution, alignment, and delivery across our core infrastructure platform. Genius Sports is in the process of integrating various technology teams and acquired platforms under a cohesive technical strategy. This role is pivotal in ensuring that these initiatives progress in a coordinated and reliable manner.Our Infrastructure Platform empowers engineering teams to consistently and efficiently build, deploy, and manage Genius Sports’ diverse product portfolio. As a Senior TPM, you will play a crucial role in transforming broad objectives into actionable programs, managing interdependencies and risks, and ensuring timely delivery against defined milestones and goals. You will collaborate closely with the entire InfraPlat team, product engineering leaders, and security teams to maintain alignment, coordinate efforts across teams, and uphold visibility.What You’ll DoDrive execution of cross-functional programs that involve various platform and product teams.Translate strategic initiatives into well-structured program plans with defined scope and milestones.Establish and maintain program operating rhythms, including planning sessions, execution tracking, reviews, and retrospectives.Identify, monitor, and manage interdependencies and risks among teams with competing priorities.Collaborate with technical leads to ensure initiatives prioritize developer velocity, operational excellence, security, and cost efficiency.Support initiatives such as multi-region Kubernetes platforms, MLOps workflows, standardized deployment systems, and shared authentication services.What You’ll Bring6+ years of experience in technical program management.Proven track record of coordinating delivery across multiple engineering teams and long-term initiatives.Ability to engage deeply in technical discussions to grasp requirements, constraints, and delivery risks.Exceptional written and verbal communication skills, with the capability to convey complex technical concepts to various stakeholders.

Join Our Team as a Senior Technical Program Manager!At FanDuel, our developers are the backbone of exceptional fan experiences, and we are searching for a dedicated Senior Technical Program Manager to join our dynamic Platform team. In this pivotal role, you will oversee the delivery of impactful, cross-functional data initiatives.This position is hands-on and delivery-oriented, acting as a bridge between Product, Engineering, and Operations. Your mission will be to ensure that our internal platforms are scalable, secure, and tailored to meet the needs of our developers. You will collaborate closely with peers to achieve successful outcomes, work diligently to meet deadlines, mitigate risks, and leverage data to inform your decisions.In addition to the responsibilities listed, employees may be tasked with other duties as assigned by the Company, ensuring flexibility in operations to adapt to evolving business needs.Your Game Plan:Program Execution & DeliveryLead the execution of comprehensive data programs, ensuring all timelines, milestones, and quality benchmarks are met.Develop detailed project plans, monitor progress, proactively identify risks, and facilitate the resolution of cross-team blockers.Identify and manage dependencies between teams to streamline operations.Coordinate program activities across product and engineering teams.Keep stakeholders informed by providing regular updates on program status.Cross-Functional CollaborationPartner with both technical and non-technical teams, including product, engineering, and security, to align on project scope, success criteria, and timelines.Act as a liaison between stakeholders, ensuring effective communication and translating business requirements into actionable technical plans.Assist in the intake and prioritization of new initiatives, collaborating with leadership and PMs to define roadmaps and OKRs.Operational & Technical ExcellenceEstablish and implement best practices for program delivery, including thorough documentation and program status reporting.Track key metrics such as delivery velocity and business impact.Mentor junior program managers, fostering operational excellence through agile methodologies while driving cross-functional alignment and collaboration.

About CookUnity:CookUnity was born out of a desire to restore the soul of food, connecting people with chefs who create meals that nourish, inspire, and unite us. Since its inception in 2018, CookUnity has emerged as a pioneering platform delivering 50 million meals annually from top-tier chefs to homes across the nation. Our meals are fresh, ready-to-eat, and crafted with care, embodying the essence of nourishment that transcends the plate.As we continue to evolve, CookUnity is setting its sights beyond meal delivery, transforming into a dynamic marketplace with the mission to empower chefs to nourish the world.If this mission resonates with you, we invite you to explore this exciting opportunity.The Role:We are in search of a Senior Manager, Data Science and Machine Learning to spearhead the next chapter of innovation at CookUnity. This role transcends conventional analytics; you will architect the machine learning and experimentation framework necessary for delivering personalized and intelligent product experiences at scale.In this pivotal position, you will define the strategic vision that guides our data science initiatives and product roadmap. You will lead a dedicated team focused on predictive modeling, personalized experiences, experimentation frameworks, and cutting-edge machine learning capabilities that enhance customer engagement, retention, and lifetime value. This high-impact role is designed for an individual who can think strategically about the future of product science while actively driving technical implementation.

As Mercury continues to expand, our revenue platforms increasingly operate at the nexus of product launches, data systems, go-to-market strategies, and external partnerships. In a landscape where every task holds significance, the greatest threat is not a lack of effort, but rather a stagnation in momentum. We are seeking a Senior Technical Program Manager for our Revenue Technology team, who will ensure that intricate, multi-team projects not only progress but do so efficiently: in the right order, with clear dependencies highlighted, and tangible advancements visible on a weekly basis. This role transcends mere status updates; we need a hands-on technical TPM adept enough to directly resolve issues — whether that involves Linear, Salesforce, data workflows, or collaboration across Product, Engineering, Data, and Revenue teams. In this position, you will report to the Head of Platforms & Infrastructure and play a pivotal role in maintaining execution focus, allowing specialized technical roles to function at their highest capacity. *Mercury is a fintech company and not an FDIC-insured bank. Banking services are provided through Choice Financial Group and Column N.A., Members FDIC.

Join Grow Therapy as a Senior Technical Program Manager, where you will play a key role in driving projects that foster innovation and streamline processes. You will work closely with cross-functional teams to ensure successful delivery of technical programs and projects, while mentoring junior team members to enhance their skills.

Who is Nexxen?Nexxen is revolutionizing the advertising landscape with a data-driven approach that empowers advertisers, agencies, publishers, and broadcasters globally. Our innovative technology framework unifies a demand-side platform (DSP) and supply-side platform (SSP), anchored by the Nexxen Data Platform, to deliver meaningful advertising solutions.Why become a part of the Nexxen team?Join us in our mission to transform advertising through our flexible and creative solutions. At Nexxen, we value a culture that emphasizes the 3Cs - Customer Centricity, a Curious Mindset, and Collaboration without Ego. Become part of a dynamic team that thrives on commitment and ingenuity.Your Safety is Our PriorityAt Nexxen, we prioritize the safety and well-being of our employees. We are vigilant against online scams and fraudulent job postings. Please note that we will never ask for payment as a condition of employment or promote dubious financial schemes. If you encounter any suspicious communications, contact us at infosec@nexxen.com. Your trust is paramount; stay safe and informed.Position OverviewAs a Senior Machine Learning Engineer, you will join our Applied Data Science group within the Nexxen DSP Software Development team. This hands-on role involves collaborating closely with data scientists to develop cutting-edge data science infrastructure aimed at real-time performance optimization and machine learning applications. The ideal candidate will possess extensive experience in implementing machine learning technologies or data-driven algorithms, and should display a proactive and innovative mindset.We operate in a hybrid model, with team members working three days a week at our New York office and remotely for the remainder of the week.Key Responsibilities:Design and develop high-performance, large-scale services for Nexxen DSP programmatic integrations and platform products.Drive innovative solutions and implement machine learning algorithms for enhanced performance.

Join headway as a Senior Machine Learning Engineer and make a significant impact in the field of machine learning and artificial intelligence. In this role, you will leverage your expertise to develop innovative solutions, improve existing algorithms, and collaborate with cross-functional teams to drive forward our mission of transforming the healthcare experience.

Join SoundCloud, a leading platform that enables artists and fans to connect and share their passion for music. Established in 2007, our artist-first approach empowers creators to develop their careers with innovative tools, services, and resources. With a catalog featuring over 400 million tracks from 40 million artists, the future of music is unfolding at SoundCloud. We are seeking a Senior Machine Learning Engineer to become an integral member of our Reco-Core team. This role presents an exciting opportunity to influence and steer the machine learning initiatives for one of SoundCloud's most essential product areas. You will collaborate closely with machine learning, data, and backend engineers to design, implement, and deploy models that facilitate music discovery for millions of users across our extensive audio catalog.Key Responsibilities:Create and deploy comprehensive machine learning solutions for recommendation systems, focusing on candidate generation, personalization, user and item modeling, and ranking algorithms.Oversee the entire machine learning lifecycle, from prototyping and evaluation to deploying scalable models and monitoring performance in production.Enhance and expand the foundation for ML engineering and MLOps within the Reco-Core team, establishing best practices and developing tools for rapid iteration.Collaborate with analysts and data scientists to convert research findings into production-ready systems.Work alongside fellow ML engineers to utilize shared infrastructure and collective expertise.

Gen Digital brings together leading consumer brands such as Norton, Avast, LifeLock, and MoneyLion, serving nearly 500 million users in over 150 countries. The company focuses on cybersecurity, online privacy, identity protection, and financial wellness, aiming to help individuals secure and manage their digital and financial lives. The team values curiosity, experimentation, and a customer-centric approach. Colleagues support one another and draw strength from diverse backgrounds and perspectives. Gen Digital encourages collaboration and continuous learning, welcoming those who see AI as a tool for progress. Role overview The Principal Partnership Manager - Machine Learning will focus on driving MoneyLion’s partnerships within the Fintech sector. This includes onboarding, managing, and expanding relationships with Fintechs, Neobanks, Lenders, and other ecosystem partners. The role centers on growing Enterprise accounts and developing strategies to improve performance and promote MoneyLion’s suite of Marketplace, Banking-as-a-Service, Data products, and Services. What you will do Onboard and manage key partners in the Fintech ecosystem, including Neobanks and Lenders. Expand and deepen relationships with existing partners to support MoneyLion’s growth. Work closely with senior decision-makers to identify opportunities for upselling and cross-selling MoneyLion’s products and services. Apply industry knowledge to develop innovative partnership strategies and deliver measurable results. Collaboration and impact This position requires regular collaboration with internal teams and external partners. Building long-term, mutually beneficial relationships is central to success in this role. The Principal Partnership Manager will play a key part in shaping MoneyLion’s presence in the Fintech landscape.

Join PitchBook Data, Inc. as an Engineering Manager specializing in Machine Learning Operations, where you will lead a team of talented engineers in developing and optimizing machine learning systems. Your expertise will guide the strategic direction and operational excellence of our ML initiatives. Collaborate closely with cross-functional teams to ensure the successful deployment of machine learning models and drive innovation in our products.

Gen Digital brings together cybersecurity, online privacy, identity protection, and financial wellness solutions for nearly 500 million users worldwide. Brands such as Norton, Avast, LifeLock, and MoneyLion operate under the Gen Digital umbrella, focusing on helping people manage and secure their digital and financial lives. The company values flexibility and supports career growth with a range of tools and resources. Gen Digital offers flexible work arrangements, generous paid time off, competitive compensation, comprehensive benefits, and well-being programs. The culture encourages agility, customer focus, open discussion, and learning, with a strong appreciation for diverse backgrounds and viewpoints. Role overview The Principal Partnership Manager - Machine Learning will focus on building and expanding MoneyLion’s partnerships with Fintechs, Neobanks, lenders, and other key ecosystem players. This role is based in New York, NY. What you will do Onboard new partners and manage existing relationships. Grow and develop enterprise accounts across the partner ecosystem. Develop creative strategies to enhance partner performance and promote MoneyLion’s Marketplace, Banking-as-a-Service, Data products, and Services. Work closely with senior decision-makers, applying industry knowledge to establish productive and lasting partnerships.

Spotify is seeking a Machine Learning Engineering Manager to lead its Personalization team in New York, NY. This position guides both engineers and data scientists as they build and refine machine learning systems that deliver personalized content to millions of listeners. Key responsibilities Direct the design, development, and rollout of machine learning algorithms that power Spotify’s content personalization. Mentor and support a team of engineers and data scientists, encouraging technical growth and strong collaboration. Coordinate with product, design, and other groups to ensure personalization strategies align with company objectives. Lead initiatives that apply data and machine learning to enhance user experiences on the platform. Role focus This role centers on advancing Spotify’s personalization capabilities through technical leadership, team development, and close partnership with cross-functional teams.

Spotify is hiring a Machine Learning Engineering Manager for its New York office. This position leads a team of engineers working on machine learning projects that shape the future of music technology. Role overview The team develops algorithms and models designed to improve how users experience and engage with music on Spotify’s platform. The work centers on building solutions that address unique challenges in the music industry. What you will do Guide and support a group of engineers focused on machine learning initiatives for music. Oversee the design and implementation of new algorithms that enhance user experience. Work closely with cross-functional partners to deliver impactful projects. Location This role is based in New York, NY.

Join modal as a Member of Technical Staff specializing in Machine Learning Training Systems. In this role, you will contribute to the development and optimization of cutting-edge machine learning platforms that enhance the training and deployment of AI models. Collaborate with a talented team of engineers and data scientists to innovate and drive impactful solutions in the realm of artificial intelligence.

About the RoleAt Zencastr, we are dedicated to creating innovative end-to-end AI systems and core microservices that revolutionize the podcasting landscape. By harnessing the latest technologies, we aim to enhance the user experience for millions of podcast creators and listeners every day.We invite an exceptional Senior Machine Learning Engineer to become a vital member of our dynamic team. In this role, you will engage in large-scale machine learning projects aimed at enriching the podcast creation journey for Zencastr users.You will collaborate with a group of dedicated engineers who are enthusiastic about understanding the factors that influence long-term user satisfaction with Zencastr. Your contributions will help shape our recommendations and content strategies. As a key player in the team, you will work alongside research scientists and data professionals to prototype and implement cutting-edge machine learning solutions that intertwine speech processing with user satisfaction.Key ResponsibilitiesDesign, research, and develop pioneering machine learning applications and algorithms to enhance the experiences of podcasters and their audiences globally.Collaborate with cross-functional teams to create new product features that enhance Zencastr's machine learning services.Advance audio and text capabilities within the machine learning team.Engage with leading experts in signal processing.Ideal Candidate ProfileA Master's degree or higher in Machine Learning, Mathematics, Computer Science, or a related quantitative discipline.A minimum of 5 years of experience in Python programming.At least 3 years of experience in machine learning research, particularly with a focus on speech processing.3+ years of experience in training and deploying neural networks.Extensive experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn.Proficiency in building and maintaining production-ready machine learning systems.Ability to lead the design and implementation of significant software components and features.A passion for rapidly building model prototypes.Familiarity with cloud platforms such as Google Cloud, AWS, or Modal.A proactive mindset with the ability to spearhead projects and foster positive collaborations with partners and colleagues.

Join our innovative Match Team as a Senior Machine Learning Engineer at Enigmaio, where you will play a pivotal role in developing advanced algorithms and models that enhance our matching capabilities. You will collaborate with cross-functional teams to design, implement, and optimize machine learning solutions that drive business outcomes.

Join CoreWeave as a Technical Program Manager specializing in Security Compliance. In this pivotal role, you will oversee and drive security compliance initiatives across our technical programs. Your expertise will ensure that we adhere to industry standards and best practices, thereby safeguarding our infrastructure and data integrity.