Search jobs > Palo Alto, CA > Staff machine learning

Sr. Staff Machine Learning Engineer, Ads Content Quality

Pinterest
Palo Alto, CA, United States
Full-time

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.

Pinterest is one of the fastest growing online ad platforms and our success depends on keeping the platform a safe and positive place, while connecting Pinners with the most relevant advertisers.

The Ads content quality team is responsible for developing ML models to develop deep knowledge about ads quality, using such knowledge to influence ads ranking and ultimately, delivering positive pinner and advertiser experiences.

We leverage a wide range of ML technologies, such as LLM, multi-modal learning, distillation, etc to that end.

What you'll do :

  • Own the technical direction of Ads content quality at Pinterest.
  • Serve as technical authority for engineering design and implementation of end to end systems to develop ads content understanding and quality signals for delivery of relevant high-performing ads.
  • Work with a diverse group of engineers and program managers within the monetization group, and devise effective technical strategy and roadmap.
  • Be hands-on and develop models and systems that lead to step-function improvements of Ads products. Serve as a technical mentor to team members, setting an example for best practices and impact.
  • Research and apply cutting edge ML techniques, like LLM, multi-modal modeling, distillation, human-in-the-loop systems, etc.

to enable Pinterest to be a safe and performant advertising platform.

What we're looking for :

  • MS or Ph.D degree in Computer Science, Machine learning, Statistics, or related field.
  • Experience in both designing and implementing large scale ML applications. Experience with content understanding is a strong plus.
  • Rich experience in leveraging ML technologies in Ads delivery, and deep understanding of delivery tech stack and product development cycle.
  • Strong execution skills in project management, with the leadership capability for XFN projects.
  • Experience using LLM, multi-modal modeling, etc is a strong plus.

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

$206,456 $360,985 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.

30+ days ago
Related jobs
Promoted
TikTok
San Jose, California

Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quan...

Pinterest
Remote, CA, US
Remote

Build and improve machine learning models and backend systems that underlay ads delivery and advertiser interfaces to maximize value for Pinners, Partners and Pinterest. Strong software engineering and mathematical skills with knowledge of machine learning. Run ads delivery experiments that either e...

Promoted
TikTok
San Jose, California

The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. Design end-to-end machine learning products with a strong product mindset and cross-functional ability. Work with engineers in diverse technical b...

Promoted
Waymo
Mountain View, California

Senior Machine Learning Engineer, Runtime & Optimization Mountain View, California, United States. The ML Platform team at Waymo provides a set of tools and technologies to support and automate the lifecycle of the machine learning workflow, including feature and experiment management, model develop...

Promoted
Illumio
Sunnyvale, California

As Senior Staff Security Engineer for Detection Engineering, you will be responsible for helping your stakeholders strike the right risk balance, as well as designing, implementing, and improving security controls to protect our crown jewels. Maintain vendor relationships in support of detection eng...

Rivian
Palo Alto, California

Role Summary We are seeking Machine Learning Engineers to help us train and deploy models used for decision-making aspects of the Rivian Autonomy stack. We use Machine Learning with millions of miles of driving data to power these workflows and are looking for an ML engineer who will lead and develo...

TikTok
San Jose, California

We are working on cutting-edge content understanding topics including weakly-supervised learning, few-shot classification, video tagging, multi-task learning, multi-lingual learning, multi-modality pretraining, etc. Experience in one of more areas of computer vision, natural language processing and ...

ByteDance
San Jose, California

Preferred Qualifications:- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch), experience on improving core machine learning infrastructure. The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation ...

Adobe
San Jose, California

Adobe Firefly is looking for a Sr Machine Learning Engineer to work on large scale data processing to enable video and audio genai foundational model training. Collaborate closely with ML Researchers and Machine Learning engineers to accelerate the training of the cutting-edge ML models. Experience ...

Palo Alto Networks
Santa Clara, California

You will have the opportunity to build a career solving network security challenges leveraging advanced machine learning techniques on exabytes of data. You will help create and deliver the most advanced AI and Machine Learning enabled solutions to discover threats, provide intelligence, and protect...