Machine Learning Engineer at tvScientific | San Francisco, CA

About Pinterest:At Pinterest, we empower millions globally to discover creative ideas and realize their aspirations. Our mission is to inspire everyone to craft a life they love, and this begins with the talented individuals behind our platform.Join us for a career that ignites innovation for millions, transforms passion into professional growth, celebrates diverse experiences, and embraces flexibility for optimal performance. Creating a fulfilling career? It's possible.Pinterest is a place where Pinners find and engage with what they love. Our Core Engineering team is central to the Pinterest experience, influencing the journey of over 500 million monthly Pinners. We seek a skilled Engineering Manager II in Machine Learning who can steer our team’s technical direction and strategic planning. You will lead projects that involve creating new product experiences, developing large-scale low-latency systems, and implementing cutting-edge machine learning models that significantly impact our users and business metrics.

Join Pinterest as a Senior Machine Learning Engineer specializing in Responsible AI. In this role, you will leverage your expertise to drive innovative applied research in machine learning, ensuring the responsible and ethical use of AI technologies. Collaborate with cross-functional teams to develop advanced algorithms and contribute to large-scale projects that impact millions of users around the globe.

Join Pinterest as a Manager II in Machine Learning Engineering and lead a team of talented engineers and data scientists in developing innovative machine learning solutions. You will play a crucial role in driving the technical direction of our projects, ensuring the delivery of high-quality models and algorithms that enhance user experience and engagement. You will collaborate with cross-functional teams and stakeholders to understand business needs and translate them into technical requirements.

About Pinterest:At Pinterest, we strive to empower individuals worldwide to explore creative ideas, envision new possibilities, and curate lasting memories. Our mission is to inspire everyone to craft a life they love, and this journey begins with the talented people behind our platform.Join us in a career that fuels innovation for millions, transforms passion into growth, celebrates diverse experiences, and embraces the flexibility to perform at your best. Crafting a career you cherish? It’s entirely possible.We are seeking a visionary Director of Machine Learning to spearhead the ML function within our Growth organization. This leader will outline the long-term ML vision, strategy, and operational framework that drives user engagement and growth across Pinterest's platforms.You will manage several teams of machine learning engineers and managers, addressing essential Growth challenges such as activation, retention, notifications, SEO, paid acquisition, and lifecycle personalization. Your role will blend deep technical expertise with strong leadership and product intuition to implement industry-leading practices in recommendation systems, ranking algorithms, experimentation, deep learning, and generative AI. As the Director of Machine Learning for Growth, you will oversee the health, performance, and evolution of our ML ecosystems, ensuring our technology meets the business and product requirements vital for making Pinterest an engaging and inspiring platform for everyone. This entails:Collaborating with senior Product, Data Science, and Engineering leaders to define and execute a multi-year strategy for Pinterest’s Growth systems.Establishing a cohesive ML architecture and roadmap for Growth that leverages shared platforms while enabling rapid iteration.Building, nurturing, and retaining a world-class team of machine learning leaders and engineers.Serving as a prominent thought partner and advocate for Growth ML among executives and cross-functional stakeholders.You will also cultivate a healthy and inclusive community where ML practitioners across Growth can learn best practices, collaborate efficiently, and align with our technical direction.

About Pinterest:At Pinterest, we are dedicated to inspiring millions around the globe to discover creative ideas, envision new possibilities, and create lasting memories. Our mission is to empower everyone to cultivate a life they love, and this begins with the passionate individuals who drive our product.Join us to ignite innovation for millions, transform your passions into growth opportunities, celebrate diverse experiences, and embrace the flexibility to excel in your role. It’s possible to build a career you love here!Pinterest boasts over 600 million users and 300 billion ideas saved. Our Machine Learning Engineers craft personalized experiences that help users on their journey to creating a fulfilling life. With a global team size of just over 4,000, our nimble teams are continuously evolving. At Pinterest, you will have hands-on access to a wealth of data and contribute to large-scale recommendation systems in a unique environment.As part of the Monetization ML Engineering team, your role will involve bridging the aspirations of Pinners with the offerings of our partners. You will be tasked with defining and implementing a vision for the advancement of our machine learning technology stack within the Ads domain.

Join Pinterest as a Staff Machine Learning Engineer in the Conversion Visibility team, where you will influence the future of how users engage with our platform. You will be responsible for designing and implementing advanced machine learning models that enhance conversion experiences, ultimately driving user satisfaction and business growth.

About Pinterest:At Pinterest, we inspire millions globally to explore creative ideas and envision lasting memories. Our mission is to empower everyone to create a life they love, and that journey begins with our talented team.Join a workplace where innovation thrives, passion drives growth, and every unique experience is celebrated. With a culture that embraces flexibility, we enable you to do your best work and build a fulfilling career.As a part of Pinterest's vibrant community of over 500 million users and 300 billion ideas saved, our Machine Learning engineers play a pivotal role in crafting personalized experiences that empower Pinners to create their ideal lives. With a nimble team of just over 4,000 employees worldwide, we provide unparalleled access to extensive data and opportunities to contribute to large-scale recommendation systems.Within the Monetization ML Engineering team, you will bridge the gap between the aspirations of Pinners and the offerings of our partners. In this pivotal role, you will lead the vision for advancing the machine learning technology stack in our Ads division.

Pinterest seeks a Senior Staff Machine Learning Engineer to drive content quality efforts in San Francisco, CA. This position plays a key role in setting the standards for what appears on the platform, helping to build and sustain user trust in the content experience. Key Responsibilities Design and improve machine learning algorithms that assess and enhance the quality and relevance of content on Pinterest. Collaborate with product and engineering teams to ensure high-quality material is surfaced for users. Support initiatives that foster a positive and trustworthy content experience for the Pinterest community. Impact the daily interactions of millions of users through your technical contributions. Collaboration This role works closely with cross-functional partners across product and engineering to shape the way content is evaluated and presented on the platform.

About Pinterest:At Pinterest, we empower millions of users to discover creative ideas, envision new possibilities, and curate memories that last a lifetime. Our mission is to inspire everyone to create a life they love, driven by the passion and creativity of our dedicated team.Join a vibrant career where you can ignite innovation for millions, turn your passion into growth opportunities, and celebrate diverse experiences while enjoying the flexibility to perform at your best. Building a career you love is within reach.With over 500 million global users and 300 billion ideas saved, our Machine Learning engineers are at the forefront of creating personalized experiences that enhance how Pinners interact with our platform. With a team of just over 3,000 talented individuals, you'll have unparalleled access to a wealth of data and contribute to large-scale recommendation systems like never before.

Join tvScientific as a Senior Machine Learning Engineer and be at the forefront of developing and deploying innovative machine learning solutions that drive advertising efficiency. Your expertise will contribute to building cutting-edge algorithms and systems that enhance our clients' marketing strategies.In this role, you will collaborate with cross-functional teams to translate business requirements into technical specifications, and develop scalable models that leverage large datasets. Your passion for machine learning and data science will help shape the future of advertising technology.

Join Pinterest as a Security Software Engineer II within our Corporate Security team. In this pivotal role, you will be responsible for developing and enhancing security solutions that protect our platform and its users. Your expertise will contribute to the implementation of innovative security measures while collaborating with cross-functional teams to ensure a secure environment.

Pinterest’s Advanced Technology Group is looking for a Machine Learning Intern at the master’s level for Fall 2026. This internship centers on visual search and recommendation systems, blending research and engineering in a collaborative environment. Interns may help launch new features for millions of users or take part in academic research projects. Role overview This 12-week paid internship runs from September 21 to December 11, 2026. Work may be remote or hybrid, with office locations available in San Francisco, Palo Alto, Seattle, or New York. Team placement determines whether the role is remote or hybrid. What you will do Build and launch new user features using internal datasets and machine learning techniques. Conduct research focused on visual understanding and recommendation systems. Work closely with engineering teams and take part in external collaborations or mentoring. Contribute to features that may reach millions of users or support research for academic publication. Locations San Francisco, CA Palo Alto, CA Seattle, WA New York, NY Remote (team dependent) Internship details 12-week program: September 21 to December 11, 2026 Paid internship Remote or hybrid work (based on team) Application note Applying to this position enters candidates into consideration for multiple machine learning internship roles across Pinterest’s ML teams. Submit only one application within the USA or Canada; multiple applications may delay review.

tvScientific seeks a Machine Learning Platform Engineer to help shape the company’s advertising technology. This position can be based in San Francisco, CA, or performed remotely from anywhere in the United States. Role overview This role focuses on building and refining machine learning models that drive the core of tvScientific’s advertising platform. The work combines technical skill with creative problem-solving to support the platform’s effectiveness. What you will do Develop and optimize machine learning models to enhance advertising performance Collaborate with team members to deliver solutions that balance innovation, scalability, and reliability Apply technical expertise to address challenges at the intersection of technology and creative thinking Location Candidates may work from San Francisco, CA, or remotely within the US.

Pinterest is hiring a Senior Data Scientist focused on AI and machine learning systems. This role centers on using advanced data analytics to inform decisions and improve how users interact with the platform. What you will do Work with teams across product, engineering, and analytics to build and deploy machine learning models. Analyze large datasets to uncover patterns in user behavior and engagement. Translate data-driven insights into recommendations that make Pinterest more intuitive and personalized. Role overview The Senior Data Scientist will play a key part in shaping Pinterest’s future by applying statistical techniques and machine learning methods. The work aims to make the platform smarter and more engaging for millions of users.

Join Pinterest as an AI Solutions Engineer, where you'll leverage cutting-edge technologies to develop innovative solutions that enhance user experiences. In this role, you will work collaboratively with cross-functional teams to implement AI-driven initiatives that align with Pinterest's mission of bringing everyone the inspiration to create a life they love. Your expertise will play a pivotal role in shaping the future of our platform.

Join Pinterest as a Senior Security Software Engineer within our Corporate Security team, where you will play a critical role in safeguarding our platform and users. In this position, you will design, develop, and implement innovative security solutions that protect against emerging threats. You will collaborate with cross-functional teams to ensure the highest security standards are maintained across all systems and processes.

Join Orchard as a Machine Learning Engineer and play a pivotal role in transforming data into actionable insights. In this dynamic position, you will leverage your expertise in machine learning algorithms and data analysis to develop innovative solutions that enhance our products and services.We are looking for a proactive team player who thrives in a fast-paced environment and possesses strong problem-solving skills. You will collaborate with cross-functional teams, engage with large datasets, and contribute to the design and implementation of machine learning models.

Join our dynamic Personalization team at Boomtrain as a Machine Learning Engineer. We are in search of a skilled engineer who will play a pivotal role in developing and enhancing our recommendation systems that cater to a variety of customers.In this role, you will collaborate with a talented team dedicated to designing and implementing innovative models and systems that deliver personalized recommendations. You will have the opportunity to work on complex engineering challenges and contribute to generating hundreds of millions of recommendations daily.This position offers a unique chance to engage in end-to-end project work and make a significant impact on our personalization initiatives.Key Responsibilities:Research and propose advanced recommendation and optimization models to enhance our personalization systems.Develop and maintain offline model generation pipelines.Design and maintain online recommendation serving systems.

Join tvScientific as a Senior Machine Learning Operations Engineer and play a pivotal role in deploying and managing ML models at scale. You will work closely with data scientists and software engineers to optimize and streamline ML workflows, ensuring the delivery of high-quality products to our clients. This position offers the flexibility to work remotely from anywhere in the United States.