Senior Machine Learning Engineer for Ads Conversion Modeling
4 days ago
About Pinterest: Millions of people around the world visit 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 these individuals find their inspiration and create a life they love.
In your role, you'll take on work that aligns with this mission and drives Pinterest forward. You'll have opportunities to grow as a person and leader in your field while helping Pinners make their lives better in the positive corner of the internet.
We're committed to creating a workplace that's equitable, inclusive, and inspiring for every employee. We believe that everyone should feel welcome and supported in our community.
The Ads Conversion Modeling team works to connect the dots between the aspirations of Pinners and the products offered by our partners. As a Senior Machine Learning Engineer on this team, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for conversion modeling.
You'll tackle new challenges such as user sequence modeling, embedding features, model quantization, utility alignment, RoAS optimization, and many more to advance the ML models that power the heavy ranker stage and delivery that bring together Pinners and partners in this unique marketplace.
Key responsibilities include:
- Lead the technical direction and develop state-of-the-art applied machine learning projects for the ads conversion modeling team
- Coach and mentor engineers for the conversion modeling team
- Design features and build large-scale machine learning models to improve user ad action prediction with low latency
- Develop new techniques for inferring user interests from online activity
- Mine text, visual, and user signals to better understand user intention
- Work with product and sales teams to design and implement new ad products
To be successful in this role, you'll need:
- A Master's or Ph.D. degree in Computer Science, Statistics, or a related field
- At least 6 years of experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
- 2+ years of experience leading projects/teams
- Strong mathematical skills with knowledge of statistical methods
- Cross-functional collaboration and strong communication skills
- A background in computational advertising is preferred but not required
This position is based in the United States and is eligible for equity. The estimated salary range for this position is $206,456-$360,985 USD per year, depending on factors such as location, relevant prior experience, and particular skills and expertise.
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