Senior Staff Machine Learning Engineer, Applied Science at Pinterest

About Pinterest:  Millions of people across the world come to Pinterest to find new ideas every day
It’s where they get inspiration, dream about new possibilities and plan for what matters most
Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward
You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring
As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role
We encourage you to think through your relevant and transferable skills from prior experiences.Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working
Visit our PinFlex landing page to learn more. We are looking for a highly motivated and experienced Machine Learning Engineer to join our team and help us shape the future of machine learning at Pinterest
In this role, you will tackle new challenges in machine learning that will have a real impact on the way people discover and interact with the world around them.  You will collaborate with a world-class team of research scientists and engineers to develop new machine learning algorithms, systems, and applications that will bring step-function impact to the business metrics (recent publications 1, 2, 3).  You will also have the opportunity to work on a variety of exciting projects in the following areas: representation learningrecommender systemsgraph neural networknatural language processing (NLP)inclusive AIreinforcement learninguser modelingYou will also have the opportunity to mentor junior researchers and collaborate with external researchers on cutting-edge projects.  What you'll do: Lead cutting-edge research in machine learning and collaborate with other engineering teams to adopt the innovations into Pinterest problemsCollect, analyze, and synthesize findings from data and build intelligent data-driven modelScope and independently solve moderately complex problems; write clean, efficient, and sustainable codeUse machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads and searchWhat we're looking for:Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Pytorch, Tensorflow, MLFlow)Experience in research and in solving analytical problemsStrong communicator and team player
Being able to find solutions for open-ended problems8+ years working experience in the r&d or engineering teams that build large-scale ML-driven projects3+ years experience leading cross-team engineering efforts that improves user experience in productsMS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related fieldDesired skills:Strong publication track record and industry experience in shipping machine learning solutions for large-scale challenges Cross-functional collaborator and strong communicatorComfortable solving ambiguous problems and adapting to a dynamic environmentThis position is not eligible for relocation assistance.#LI-SA1#LI-REMOTEAt Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee
In an effort to provide greater transparency, we are sharing the base salary range for this position
The position is also eligible for equity
Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.Information regarding the culture at Pinterest and benefits available for this position can be found here.US based applicants only$158,950—$327,000 USDOur Commitment to Diversity:Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit
We want to have the best qualified people in every job
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements
If you require an accommodation during the job application process, please notify  for support.