Opportunity at
PinterestManager II, Machine Learning Engineering-Content Foundation
Pinterest operates a digital platform that helps users around the globe discover creative concepts, plan future projects, and find inspiration for everyday life. The company is…
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About This Role
Pinterest operates a digital platform that helps users around the globe discover creative concepts, plan future projects, and find inspiration for everyday life. The company is currently hiring a Manager II, Machine Learning Engineering for its Content Foundation team to work on-site in San Francisco, California. In this role, you will guide a team of applied scientists and engineers building foundational content understanding architectures, systems, and signals. Your work will…
Job Description
Pinterest operates a digital platform that helps users around the globe discover creative concepts, plan future projects, and find inspiration for everyday life. The company is currently hiring a Manager II, Machine Learning Engineering for its Content Foundation team to work on-site in San Francisco, California.
In this role, you will guide a team of applied scientists and engineers building foundational content understanding architectures, systems, and signals. Your work will directly support core platform features across Search, Discovery, Growth, and Ads by establishing a long-term technical vision for semantic signal generation and reusable model-powered frameworks. You will tackle complex technical hurdles regarding large language model and vision-language model technologies, inference throughput, serving efficiency, and downstream impact measurement.
This position is well-suited for an experienced engineering leader with a robust background in distributed machine learning systems, cross-functional collaboration, and project management. Successful candidates will excel at aligning stakeholders, clearing up ambiguous problem spaces, and driving multi-quarter execution plans that span data pipelines, modeling, and production environments.
Responsibilities
- Lead, mentor, and expand a team of applied scientists and engineers focused on content understanding signals and infrastructure.
- Establish a long-term technical vision for scalable model-powered infrastructure, semantic signal generation, and reusable foundational layers.
- Collaborate closely with data science, product, and downstream engineering departments to drive platform impact.
- Oversee project execution, roadmap planning, risk mitigation, technical decision-making, and status updates.
- Resolve technical challenges involving vision-language models, large language models, inference throughput, and serving efficiency.
Requirements
- At least 7 years of industry experience
- At least 2 years of management experience
- Experience with large-scale distributed training and inference of vision-language and large language models
- Experience with distributed tooling for machine learning data pipelines such as Spark and Hadoop
- Experience leading ambiguous machine learning projects to develop and improve generative AI models
- Technical leadership experience across data and machine learning systems with multi-quarter roadmap ownership
Qualifications
- Master of Science degree in computer engineering, computer science, or equivalent practical experience
- Academic publications at premier machine learning and data mining conferences such as KDD, NeurIPS, ICML, or SIGIR
Core Skills
Benefits
- Eligibility for equity
- Base salary range between $222,716 and $389,753 USD for US-based applicants
Frequently Asked Questions
What is the employment type for this position?
The posting specifies full-time employment.
Where is the job located?
The role is located in San Francisco, California.
What is the remote or in-office policy?
This is an on-site role that requires in-person collaboration in an office 1 to 2 times per quarter, and applicants can be situated anywhere in the USA.
Does the company offer relocation assistance?
No, this position is not eligible for relocation assistance.
What is the salary range for this job?
The base salary range for US-based applicants is $222,716 to $389,753 USD, and the position is also eligible for equity.
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