Staff Machine Learning Engineer

Role Overview Spotify is looking for a Senior Staff Machine Learning Engineer to join the Agentic Systems team in New York, NY. This team builds advanced machine learning models that power intelligence across the Spotify platform. What You Will Do Design and develop machine learning solutions that improve user experience on Spotify Work closely with engineer…

Join Spotify as a Senior Machine Learning Engineer specializing in Personalization, where you'll leverage cutting-edge AI and ML technologies to enhance user experiences. Collaborate with cross-functional teams to develop innovative algorithms and models that personalize content and recommendations for millions of users. Your expertise will help shape the future of music and podcast consumption, driving engagement and satisfaction for our global audience.

Join Spotify as a Senior Machine Learning Engineer specializing in Personalization, where you will play a key role in enhancing the user experience through advanced machine learning techniques. Your expertise will directly impact how millions of users interact with our platform, helping to create tailored content that resonates with them. You will collaborate with cross-functional teams to develop, deploy, and maintain machine learning models that drive personalized recommendations.

Role Overview Spotify is hiring a Staff Machine Learning Engineer to join the Home Podcast team in New York, NY. This position focuses on building and improving machine learning models that power podcast experiences for millions of listeners. What You Will Do Design, implement, and refine machine learning models for podcast features and recommendations Work closely with teams across engineering, product, and design to deliver solutions that improve user experience Contribute technical expertise to shape the direction of podcasting services on the Spotify platform Impact This role directly influences how Spotify listeners discover and enjoy audio content, helping define the future of podcasts on the platform.

Role Overview Spotify is hiring a Machine Learning Engineer focused on Personalization in New York, NY. This role centers on developing and applying machine learning algorithms to improve how users discover and enjoy music and podcasts. The work directly shapes the personalized experiences that keep listeners engaged and coming back. What You Will Do Design and implement machine learning models that tailor content recommendations to individual users Analyze user behavior and preferences to inform algorithm improvements Collaborate with product and engineering teams to integrate personalization features into the Spotify platform

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 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.

Spotify is looking for a Machine Learning Engineer focused on Personalization to help shape how millions discover and enjoy music. This position centers on building and improving algorithms that customize recommendations for a wide range of listeners. Role overview As part of the team, you will design and implement machine learning models that enhance the listening experience. Collaboration with colleagues from different specialties is a regular part of the work, with the goal of delivering features that keep users engaged. What you will do Develop and refine algorithms to personalize music recommendations Work closely with cross-functional teams to bring new features to life Apply machine learning expertise to improve user satisfaction and engagement 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 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.

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.

Join Spotify as a Machine Learning Engineering Manager for our Surfaces Music team, where you will lead innovative projects that enhance user experience through advanced machine learning techniques. You will be responsible for overseeing the development of cutting-edge algorithms and models that power music recommendations and personalized features. Collaborate with cross-functional teams to drive strategic initiatives, mentor engineers, and ensure the delivery of high-quality machine learning solutions.

Join Spotify's innovative Ads Research and Development team as a Senior Machine Learning Engineer, where you will lead the charge in developing advanced algorithms that enhance our advertising capabilities. Your expertise in machine learning and data analysis will be crucial in driving impactful decisions and improving the overall user experience.

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 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.

Join Spotify’s dynamic team as a Data Scientist specializing in Subscriptions. In this role, you will leverage data analytics and machine learning techniques to enhance user experience and drive growth in our subscription services. Collaborate with cross-functional teams to derive insights that shape product strategy and optimize our offerings.

Join our talented team at espresso as a Staff Machine Learning Engineer, where you will train advanced models aimed at significantly optimizing our users' compute costs. Leverage your expertise to innovate and drive impactful solutions that enhance efficiency and performance.

Join Spotify for Artists as a Senior Engineering Manager, where you will lead and inspire a team dedicated to enhancing artists' experiences on our platform. This role involves collaborating closely with cross-functional teams to innovate and improve our technology, ensuring that we continue to empower creators worldwide.