Staff Data Scientist, Machine Learning Platform

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 helpingPinnersmake 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 seeking a talented and experienced Data Scientist to join our team and contribute to the enhancement and upleveling of our machine learning platform.

If you're passionate about improving the lives of machine learning engineers and scaling our company's ML capabilities, as well as staying at the forefront of advancements in the field, then we encourage you to apply.

Join our team and help us revolutionize the way we train, test, tune, manage, and deploy advanced ML models, while collaborating with a diverse and highly skilled team of data scientists and engineers who are dedicated to pushing the boundaries of ML innovation.

The coding skills you bring to the table will give you the opportunity to mentor and guide other data scientists, fostering a culture of continuous learning and growth within the team.

What you'll do :

• Drive the roadmap to decide which innovative solutions to optimize the efficiency, scalability, and reliability of the machine learning platform should be prioritized.
• Collaborate with machine learning engineers to identify pain points and challenges in the development and deployment of ML models, cross-reference those pain points with the state-of-the-art literature, and generalize these improvements to be leveraged by all ML teams at Pinterest.
• Analyze and evaluate the performance of existing machine learning models, identifying areas for improvement in preparation to work side-by-side with MLEs to make it part of their workflow.
• Lead collaboration with cross-functional teams to gather requirements, align on project goals, and drive the implementation of new features and enhancements to the machine learning platform.
• Help build a high-performance culture in team, where the team will bridge the gap between data science and ML engineering, leveraging data and prototyping solutions with production quality code.
• Leverage our extensive and valuable metadata set to generate innovative suggestions and strategies, identifying efficient shortcuts to evaluate hypotheses and assess the potential of ideas.

What we're looking for :

• Seasoned professional with over 5 years of extensive hands-on experience in roles such as data scientist, applied scientist, software engineer, or ML engineer within the realm of machine learning.
• A proven track record of designing and implementing highly intricate machine learning models, with a focus on optimizing performance on vast and complex datasets.
• Deep expertise and proficiency in ML ops, exemplified by successful implementation of impactful solutions to streamline operations and enhance productivity for engineering teams at a broader organizational level.
• Advanced skill set in crafting clean, efficient, and scalable code that adheres to industry best practices, coupled with a demonstrated ability to mentor and elevate team members to meet the highest standards of excellence.
• Extensive knowledge and application of software development best practices, including expert utilization of version control systems like Git, to facilitate seamless collaboration, robust code management, and reproducibility across a large-scale data science environment.
• Previously experience mentoring, coaching and up-leveling junior DS / MLEs to uphold a high bar for code quality and communication.
• Comfort with, and experience in, driving the direction of the roadmap for the team.

Relocation Statement :

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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At 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

$148,049 $304,496 USD

Our 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, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws.

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 [email protected] for support.