Create Email Alert

Email Alert for

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.

Similar Jobs

  • Pinterest

    Sr. Machine Learning Engineer, Core Engineering & Monetization Engineering

    San Francisco, CA, United States

    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 t

    Job Source: Pinterest
  • Pinterest

    Staff Machine Learning Engineer, Monetization

    San Francisco, CA, United States

    • Ending Soon

    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 t

    Job Source: Pinterest
  • Labelbox

    Senior Engineering Manager, Machine Learning Engineering

    San Francisco, CA, United States

    • Ending Soon

    Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-

    Job Source: Labelbox
  • Labelbox

    Senior Engineering Manager, Machine Learning Engineering

    San Francisco, CA, United States

    • Ending Soon

    Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-

    Job Source: Labelbox
  • Attentive

    Engineering Manager, Machine Learning

    San Francisco, CA, United States

    About Attentive: Attentive is the leader in conversational commerce, reinventing business to consumer communication. Our SMS-first software platform helps everyone from entrepreneurs to enterprises strengthen relationships with their consumers in a new way. Through two-way, real-time, personalized communications, we drive billions in e-commerce rev

    Job Source: Attentive
  • Rippling

    Director of Engineering - Machine Learning and AI

    San Francisco, CA, United States

    About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding,

    Job Source: Rippling
  • NLP PEOPLE

    Head of Machine Learning Engineering

    San Francisco, CA, United States

    • Ending Soon

    Twilio is looking for a leader, innovator, and team builder in applied Machine Learning who will invent new ways for Machine Learning to improve and power the next generation of communication products. You will lead teams in natural language processing, speech recognition, dialog management, and general machine learning with a focus on high availab

    Job Source: NLP PEOPLE
  • Penn Foster

    Director, Machine Learning Engineering

    San Francisco, CA, United States

    • Ending Soon

    If you're good at what you do, you can work anywhere. If you're the best at what you do, come work for Doma. Want to infuse a $34B sector of the insurance and real estate industry with predictive analytics and a tech-forward customer experience? Join Doma and send an entirely new type of real estate model into the world. About Us Doma offer

    Job Source: Penn Foster

Machine Learning Engineer, Core Engineering & Monetization Engineering

San Francisco, CA, United States

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.

With more than 450 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

What you’ll do:

Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest

Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas

Use data driven methods and leverage the unique properties of our data to improve candidates retrieval

Work in a high-impact environment with quick experimentation and product launches

Keeping up with industry trends in recommendation systems

What we’re looking for:

2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)

End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)

Nice to have: M.S. or PhD in Machine Learning or related areas

Publications at top ML conferences

Expertise in scalable realtime systems that process stream data

Passion for applied ML and the Pinterest product

This position is not eligible for relocation assistance.

#LI-HYBRID

#LI-SM4

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 $124,839—$219,063 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, 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 [email protected] for support.

#J-18808-Ljbffr

Apply

Create Email Alert

Create Email Alert

Email Alert for Machine Learning Engineer, Core Engineering & Monetization Engineering jobs in San Francisco, CA, United States

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.