Real job — pulled straight from Pinterest’s careers page · Verified August 3, 2026 · No reposts.
Job description
Pinterest is hiring a Staff Machine Learning Engineer, Applied Research — a full-time, remote role ($189k–$390k). Apply directly on Pinterest's careers page below.
Staff Machine Learning Engineer, Applied Research
Location: San Francisco, CA, US; Remote, US
Department: ATG
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.
At Pinterest Labs, you'll work on tackling new challenges in machine learning and multi-modal large language models along with a world-class team of research scientists, and machine learning engineers. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: natural language processing (NLP) and reasoning capability, computer vision for multi-modality, graph neural network, inclusive and responsible AI, reinforcement learning, user modeling, and recommender systems.
What you’ll do:
- Contribute to cutting-edge research in machine learning and LLM that can be applied to Pinterest problems, especially search agent, recommendation agent, reason and planning agent
- Collect, analyze, and synthesize findings from data and build intelligent data-driven model
- Write clean, efficient, and sustainable code
- Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads and search
- Scope and independently solve moderately complex problems
What we’re looking for:
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- 6+ years of industry experience
- Experience in machine learning/information retrieval
- Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Experience in research and in solving analytical problems
- Cross-functional collaborator and strong communicator
- Comfortable solving ambiguous problems and adapting to a dynamic environment
In-Office Requirement Statement:
- 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 therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-DM57
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.
Our Commitment to Inclusion:
Get Machine Learning Engineer jobs like this→
New roles from thousands of companies land hourly, straight from their careers pages. Get the freshest matches by email so you never miss one.
Email me new jobsSimilar jobs
Digital Acceleration Leader, Analytical & Decision Sciences
Frequently asked questions
What is the salary for Staff Machine Learning Engineer, Applied Research at Pinterest?
The estimated salary range for Staff Machine Learning Engineer, Applied Research at Pinterest is $189,000 - $390,000 USD per year.
Is Staff Machine Learning Engineer, Applied Research at Pinterest a remote job?
Yes, Staff Machine Learning Engineer, Applied Research at Pinterest is a remote position. Candidates in San Francisco, CA may be preferred.
What skills are required for Staff Machine Learning Engineer, Applied Research at Pinterest?
The required skills for Staff Machine Learning Engineer, Applied Research at Pinterest include: Machine Learning, Python, Java, C++, TensorFlow, PyTorch, MLflow, NLP, Computer Vision.
What is the seniority level for Staff Machine Learning Engineer, Applied Research at Pinterest?
Staff Machine Learning Engineer, Applied Research at Pinterest is a Staff level position.
How do I apply for Staff Machine Learning Engineer, Applied Research at Pinterest?
You can view the full description and apply for Staff Machine Learning Engineer, Applied Research at Pinterest on EchoJobs: https://echojobs.io/job/pinterest-staff-machine-learning-engineer-applied-research-c4wch.