Manager II, Machine Learning Engineering-Content Foundation
Remote role where the employee must remain based in a particular country.
Listed for United States
Source: the job board's country tag. The advert itself does not name United States.
Employer listed it 5 days ago · Added 4 weeks ago
Been open since 4 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Listed for United States
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
In-Office Requirement Statement:
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
In an effort to provide greater transparency, we are sharing the base salary range for this position.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "San Francisco, CA, US; Remote, CA, US, San Francisco"
- Job description states: "US based"
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
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Before you apply
Questions worth asking: Nomaders interpretation
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .
Pinterest helps Pinners discover and do what they love. The Content Foundation ML team is responsible for understanding the semantic meaning of Pinterest content and generating high-quality, reusable signals and insights that power relevance and personalization across the platform. We work at the intersection of machine learning, large multimodal models, data infrastructure, and product adoption to build foundational content understanding capabilities that support Discovery, Search, Growth, and Ads. We are looking for an experienced Engineering Manager who can drive the team’s technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes.
What will you be doing:
Lead, mentor and grow a team of engineers and applied scientists in developing foundational content understanding signals, infrastructure and systems that are integral to key Pinterest products across Discovery, Search, Growth, and Ads.
Provide thought leadership in content understanding and machine learning by setting a long-term technical vision for semantic signal generation, reusable foundational layers, and scalable model-powered infrastructure. Partner closely with product, data science, and downstream engineering teams to ensure these signals drive meaningful impact across Pinterest.
Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
Help the team solve difficult technical challenges such as:
How to leverage the latest VLM and LLM technologies to understand the full semantic richness of Pinterest content and generate high-quality signals with strong precision, recall and coverage across multiple locales?
How to build reusable foundational layers such as captions, summaries and semantic descriptors that can power multiple downstream use cases efficiently and at low infra cost?
How to improve inference throughput, freshness and serving efficiency so that content understanding signals can keep up with millions of new Pins and evolving content every day?
How to measure and improve the downstream impact of content understanding signals on relevance, personalization, engagement and ads performance across different surfaces?
How to build robust monitoring, evaluation and debugging systems that ensure signal quality, accessibility, latency and freshness at scale?
What we’re looking for:
7+ years of industry experience, including 2+ years of management experience.
Masters degree in computer science, computer engineering, or equivalent work experience
Publication at top machine learning and data mining conferences (e.g., NeurIPS, ICML, KDD, SIGIR)
Experience with:
Large scale distributed training and inference of LLM and VLM models.
Distributed tooling for ML data pipelines, e.g. Hadoop, Spark.
Leading ambiguous ML projects to build, apply and improve GenAI models for content understanding and recommendation systems.
Requirements
- ·We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- ·This role will need to be in the office for in-person collaboration 1-2 times/quarter and can be situated anywhere in the USA.
- ·Information regarding the culture at Pinterest and benefits available for this position can be found here .
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Pinterest, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 26d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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