Find Pinterest Staff Software Engineer software engineering jobs

A platform where millions of people come to find new ideas and inspiration to create a life they love.

Pinterest Labs is seeking a Staff Machine Learning Engineer to join their world-class team of research scientists and machine learning engineers. This role focuses on tackling new challenges in machine learning and artificial intelligence, conducting applied research across various domains including computer vision, graph neural networks, NLP, inclusive AI, reinforcement learning, user modeling, and recommender systems. The position offers the opportunity to work on cutting-edge research that directly impacts Pinterest's engineering teams while engaging in external collaborations and mentoring.

The ideal candidate will contribute to Pinterest's mission of helping millions of users find inspiration and create lives they love. Working under the PinFlex model, which offers a progressive and flexible approach to work, you'll be part of a team that values both innovation and practical application of machine learning solutions. The role involves building intelligent data-driven models, implementing efficient code, and solving complex problems across growth, discovery, ads, and search domains.

This position requires strong technical expertise in machine learning and software engineering, combined with excellent research and analytical capabilities. You'll need to demonstrate mastery of programming languages and ML frameworks, while being comfortable with ambiguous problems in a dynamic environment. The role offers a competitive compensation package and the opportunity to work with state-of-the-art technology while making a significant impact on Pinterest's AI initiatives.

Pinterest is committed to fostering an equitable and inclusive workplace, making employment decisions based on merit and considering qualified applicants regardless of background. The position offers the flexibility of remote work while maintaining meaningful collaboration opportunities, reflecting Pinterest's modern approach to workplace culture.

Staff Machine Learning Engineer position at Pinterest Labs focusing on applied AI research and implementation across computer vision, NLP, and recommender systems.

Staff Machine Learning Engineer - Applied Science

Pinterest is seeking a Staff Machine Learning Engineer to join their Notifications Content Science team. This role is crucial for driving user engagement and growth through personalized content delivery via Email, Push, and In-app Notifications. The position offers a unique opportunity to work on sophisticated ML systems that directly impact Pinterest's MAU growth and user retention.

The ideal candidate will be responsible for designing and implementing ML components for content Retrieval, Ranking, and Blending, ensuring that notifications are personalized and inspiring. This role combines technical expertise with leadership, requiring both hands-on development skills and the ability to guide technical strategy.

Working at Pinterest means joining a platform that helps millions find inspiration daily. The company offers a progressive work model called PinFlex, providing flexibility in work arrangements. The compensation is competitive, ranging from $176,924 to $364,254 USD, plus equity opportunities.

The role requires deep expertise in machine learning, particularly in recommendation systems, with at least 5 years of hands-on experience. You'll be working with technologies like Python, PyTorch, and TensorFlow, while collaborating with cross-functional teams to drive Pinterest's notification strategy forward.

Pinterest values diversity and inclusion, offering an equitable workplace where merit drives decisions. The position offers the opportunity to work either remotely or from their San Francisco office, contributing to a platform that positively impacts users' lives through inspiration and creativity.

Staff ML Engineer role at Pinterest focusing on notification systems, requiring 5+ years experience in ML and recommendation systems, offering competitive compensation and flexible work arrangements.

Staff Machine Learning Engineer, Notifications Content Science

Pinterest is seeking a Staff Software Engineer to lead their Ads ML Training Infrastructure team. This role is crucial in developing and maintaining the model training frameworks that power all Ads models at Pinterest. The position offers an opportunity to work with cutting-edge ML technologies, including generative AI and LLM, while directly impacting Pinterest's monetization business. The role combines technical leadership with hands-on development, requiring expertise in large-scale ML systems and infrastructure.

The ideal candidate will be responsible for building next-generation ML data and training systems, optimizing performance and scalability, and working closely with ML communities both inside and outside Pinterest. This position requires strong technical skills in ML infrastructure, programming languages like Java/Python, and frameworks such as Spark and PyTorch/TensorFlow.

Pinterest offers a progressive work model called PinFlex, providing flexibility in work arrangements while maintaining meaningful in-person collaboration. The position requires 1-2 days of office presence weekly in either San Francisco Bay Area, Seattle, or New York City. The compensation package is competitive, ranging from $200,436 to $350,763 USD, plus equity opportunities.

The role presents an excellent opportunity for experienced engineers looking to make a significant impact in the ML infrastructure space while working for a platform that helps millions of people find inspiration daily. Pinterest's commitment to diversity and inclusion, combined with their mission to help people create a life they love, makes this an attractive position for those seeking both technical challenges and meaningful work.

Lead ML infrastructure engineer role at Pinterest, focusing on ads model training systems and frameworks, requiring 8+ years of experience in large-scale ML systems.

Staff Software Engineer, Ads ML Training Infrastructure

Pinterest is a global platform where millions of people come to find new ideas and inspiration every day. As a Staff Backend Engineer on the Identity team, you'll play a crucial role in designing, developing, and maintaining our backend systems for authentication, authorization, and account management. You'll work in a collaborative environment, partnering with cross-functional teams to ensure our identity solutions are robust, secure, and scalable.

The role offers an opportunity to work with cutting-edge technologies and contribute to systems that impact millions of users worldwide. You'll be part of Pinterest's mission to help people find inspiration and create a life they love. The position embraces Pinterest's PinFlex work model, offering flexibility in how and where you work.

As a technical leader, you'll not only contribute to complex engineering challenges but also mentor junior engineers and help shape the technical direction of the Identity team. You'll be involved in architectural decisions, code reviews, and technical roadmap planning, making a significant impact on Pinterest's infrastructure and user experience.

The ideal candidate will bring strong technical expertise in backend development, experience with scalable systems, and excellent communication skills. You'll have the opportunity to work on challenging problems in authentication and authorization while contributing to Pinterest's positive corner of the internet.

Working at Pinterest means joining a company that values diverse perspectives and creates an inclusive environment. The role offers the flexibility of remote work with quarterly in-person collaboration sessions, allowing you to maintain work-life balance while staying connected with your team.

Staff Backend Engineer position at Pinterest, focusing on identity and authentication systems, requiring 8+ years of experience and expertise in backend development.

Staff Software Engineer, Backend

A platform where millions of people come to find new ideas and inspiration, helping them create a life they love.

Pinterest is seeking a Staff Machine Learning Engineer to join their Ads Candidate Generation team. This role is crucial in bridging the gap between Pinner aspirations and partner products. You'll lead the development of cutting-edge machine learning technology for Candidate Generators, managing billions of shopping ads and exploring advanced model architectures. The position involves working with large language models (LLMs), optimizing dynamic quota allocation, and implementing sequential transducers for generative recommendations.

The role offers an opportunity to work on state-of-the-art applied machine learning projects, developing GPU-based retrieval systems and unified models that leverage both organic and ad-related labels. You'll be part of Pinterest's mission to help people find inspiration and create a life they love, working in their positive corner of the internet.

The ideal candidate will bring strong technical expertise in machine learning, with experience in large-scale production recommendation systems. You'll need excellent leadership skills to guide projects and teams, along with strong mathematical and statistical knowledge. Experience in computational advertising, advanced retrieval modeling, and GPU optimization is valued but not required.

Pinterest offers a progressive work model called PinFlex, providing flexibility in living and working arrangements. The company is committed to creating an equitable and inclusive workplace, offering competitive compensation including base salary and equity. They value diverse perspectives and encourage applications from candidates with unique experiences and backgrounds.

Working at Pinterest means joining a mission-driven company that values innovation, collaboration, and impact. You'll be challenged to push boundaries in machine learning technology while directly contributing to improving the experience of millions of users worldwide.

Lead machine learning development for Pinterest's Ads Candidate Generation team, focusing on advanced retrieval systems and LLM integration.

Pinterest Staff Software Engineer Software Engineering Jobs

Find Pinterest Staff Software Engineer software engineering jobs