Machine Learning Engineering Manager - Surfaces Music

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.

Spotify is looking for a Senior Machine Learning Engineer focused on personalization and music understanding. This position is based in New York, NY. Role overview This role centers on applying advanced machine learning methods to improve how users experience Spotify’s music platform. The work aims to make music discovery more relevant and engaging for listeners. What you will do Develop and refine machine learning models that personalize content and recommendations Collaborate with teams across engineering, product, and design to deliver new features Contribute to solutions that increase user engagement and loyalty Impact Your contributions will help shape the future of music discovery at Spotify, making the platform more intuitive and enjoyable for millions of users.

Spotify is hiring a Director of Machine Learning Engineering for the Surfaces Foundation team in New York, NY. This leadership role centers on guiding a team dedicated to building advanced machine learning solutions that improve user experiences across the Spotify platform. Role overview The Director will oversee machine learning initiatives, collaborating closely with teams from various disciplines. The goal is to drive strategic projects and ensure new technologies are successfully integrated into Spotify’s products. Leadership and collaboration This position involves mentoring engineers and researchers, helping them grow and deliver high-quality work. The Director will also work with stakeholders to keep projects aligned with Spotify’s broader vision and mission to connect people through music.

At SoundCloud, we are dedicated to fostering connections between artists and fans through the power of music. Established in 2007, SoundCloud is a trailblazing platform designed for artists, offering innovative tools, services, and resources to help them flourish in their careers. With a library of over 400 million tracks from 40 million artists, we are shaping the future of music. We are on the lookout for an exceptional leader in Machine Learning to spearhead the next phase of Musical Intelligence at SoundCloud. As a Senior Principal Engineer, you will leverage your extensive technical expertise and strategic vision to propel the development of advanced recommendation, personalization, and search systems. Your mission is to architect systems that derive high-fidelity insights from user interactions within the world’s largest audio dataset, enhancing the connection between artists and fans. You will set the technical direction for ML across engineering, delivering impactful data-driven products while leading and mentoring a high-performing team of Engineers and Scientists. This pivotal role reports to the Chief Technology Officer and collaborates closely with the Music Intelligence, Content, and Recommendations teams. You will also be instrumental in developing agentic workflows and LLM-assisted systems that will enable us to deploy Musical Intelligence at unprecedented speeds.

Why Choose Charlie Health?Across the nation, countless individuals are facing mental health challenges, substance use disorders, and eating disorders. Unfortunately, many encounter obstacles to obtaining the care they need, such as limited local options and lengthy wait times. Behavioral healthcare often fails to provide the personalized support that individuals require, leaving them feeling overlooked and unsupported.At Charlie Health, our mission is to transform this landscape. We strive to connect individuals to crucial behavioral health treatment through personalized, virtual care that fosters connections between clients and clinicians, care teams, loved ones, and their supporting communities. By prioritizing those with complex needs, we are enhancing access to significant care and achieving improved outcomes—all from the comfort of home.As a rapidly expanding organization, we are reaching more communities daily, and we are assembling a team dedicated to redefining behavioral health treatment. If you are eager to leverage your skills to create meaningful change and help individuals access the care they deserve, we invite you to join us.About the RoleCharlie Health is a leader in high-acuity virtual behavioral care, having provided life-saving treatment to over 100,000 clients across the nation. Our Matching and Outcomes team is responsible for developing products that assess and enhance clinical outcomes, including systems for provider recommendations and clinical decision support tools, ensuring effective treatment. You will design predictive models and workflows to connect patients with the most suitable therapists and peers, enabling clinicians to customize care to meet each client's unique needs. The systems you develop will empower clinicians to condense and synthesize insights from our clients and providers into actionable guidance at every step. If you are passionate about utilizing data-driven insights to enhance outcomes, this team is for you.

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 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.

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.

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 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.

At Garner Health, we are dedicated to revolutionizing the healthcare economy by making high-quality and affordable care accessible to all.We are fundamentally reimagining the healthcare landscape in the U.S. by collaborating with employers to redesign healthcare benefits using transparent incentives and powerful, data-driven insights. Our innovative approach directs employees toward higher-quality, lower-cost care, fostering a healthcare system that benefits everyone. This means improved health outcomes for patients, more effective spending of healthcare dollars for employers, and rewarding physicians for providing exceptional care rather than performing unnecessary procedures.Garner is recognized as one of the fastest-growing healthcare technology companies nationally. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are eager to make a significant impact on healthcare at scale.About the Role:We are on the lookout for an outstanding Staff Machine Learning Engineer to join our dynamic team. At Garner, our Engineering team addresses complex technical challenges that have a meaningful impact on our mission. Our systems analyze billions of medical records to evaluate healthcare providers nationwide. We operate on AWS with Kubernetes and consistently integrate new technologies as our system load grows exponentially each year. We encourage our engineers to advocate for cutting-edge industry practices as we wholeheartedly incorporate AI into every aspect of our operations and standards. We value teammates who take pride in delivering exceptional work and nurturing a robust team culture.Where You Will Work:This position is based in our New York City office located in the Financial District. Candidates must be available to work in the office three days a week: Tuesday, Wednesday, and Thursday.What You Will Do:Lead technical strategy and execution at the team level over multi-quarter time frames.Utilize AI to build, optimize, and maintain machine learning, data, and software systems.Elevate the technical capabilities of engineers throughout the organization.Collaborate across disciplines to deepen domain understanding and iterate on projects.Ensure user privacy and security through adherence to best practices.

Join Spotify as a Machine Learning Engineer and be at the forefront of innovation in music streaming. In this role, you will leverage cutting-edge machine learning algorithms and data-driven insights to enhance user experiences and drive business decisions. Collaborate with cross-functional teams to develop scalable solutions that improve our recommendation systems and user engagement.

Join our innovative team at Sunset Technologies as a Machine Learning Engineer. We are dedicated to pushing the boundaries of artificial intelligence and machine learning to deliver advanced solutions that enhance our products and services. You will be involved in designing, implementing, and optimizing machine learning models to analyze large datasets, develop predictive algorithms, and contribute to the overall growth of our technology stack.

Role Overview root-access is hiring a Machine Learning Engineer in New York City. This role works closely with the tech team to design and build machine learning algorithms that support and improve our products. The position involves hands-on development, data analysis, and delivering solutions that scale as our business grows. What You Will Do Develop machine learning models tailored to product needs Analyze complex data sets to extract insights and guide model improvements Create solutions that can scale to meet increasing demand Collaborate with engineers and product teams to integrate AI-driven features Who We’re Looking For Experience building and deploying machine learning algorithms Strong interest in artificial intelligence and its practical applications Ability to work with large, complex data sets Comfort working in a collaborative, evolving tech environment

Join Spotify's innovative team as a Machine Learning Engineer, where you'll be at the forefront of developing cutting-edge algorithms that enhance user experiences. In this role, you will leverage your expertise in machine learning to create scalable solutions and drive impactful projects that shape the future of music streaming.

Join the Personalization team at Spotify, where we transform the way millions of listeners enjoy music, podcasts, and audiobooks. Our mission is to enhance the listening experience by delivering tailored recommendations that resonate with each individual. With products like 'Home' and 'Search', alongside unique playlists such as 'Discover Weekly' and 'Daily Mix', we aim to make music discovery effortless and delightful.As a member of the Minesweeper squad within Personalization, you will leverage your expertise in AI and machine learning to enrich our understanding of audio content. Your role will involve the application of advanced techniques, including Large Language Models, to create scalable systems that provide valuable insights for Spotify's internal teams and the global community of users and creators. We are looking for a passionate Machine Learning Engineer who is eager to shape the future of listening experiences for millions. This is a remarkable opportunity to enhance your skills in ML engineering, collaborate with a diverse team of Data Engineers, Backend Engineers, and researchers, and contribute to a supportive and innovative work environment.

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.

About the Role Altronix Corporation is looking for a Surface Mount Technology Machine Operator I to support its manufacturing team in Brooklyn. This entry-level position is central to the electronics production process. What You Will Do Operate and maintain surface mount technology (SMT) machines on the production line Monitor equipment performance and address minor issues as they arise Help maintain quality and efficiency standards throughout the manufacturing process Growth and Opportunity This role offers a path to learn and advance within the electronics industry. Altronix supports development for those interested in building a career in manufacturing and technology.

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.