# Staff Machine Learning Engineer Remote from[USA](https://jobicy.com/job-region/usa.md)Salary, yearly, USD 189,308 - 389,753Department [Software Engineering](https://jobicy.com/categories/engineering.md) Employment type Full Time, Job posted2 Jun 2026Apply before2 Jul 2026Experience level Senior Views / Applies 3870 / 1187 [About company](https://jobicy.com/company/pinterest.md) [Share](#share) About [Pinterest](https://jobicy.com/company/pinterest.md) Bring everyone the inspiration to create a life they love. * [Internet](https://jobicy.com/company-category/internet.md) * 2010 Actively Hiring Verified job posting This job post has been [manually reviewed](https://jobicy.com/tools/help-center/employee/how-does-jobicy-verify-the-legitimacy-of-remote-job-listings.md) for authenticity and compliance. Tailor Resume Check Job Fit Cover Letter ### Tailor my resume to this job Discover how to best rewrite and optimize your resume for this specific job. You'll receive personalized suggestions and detailed guidance to highlight your key strengths, effectively address the job requirements, and make your application more compelling to recruiters and hiring managers. After analyzing your resume, I can provide several recommendations to better position yourself for this role. Your background in software development shows strong technical skills, particularly in Java and Python development. However, for this Senior Backend Developer position, I notice there could be more emphasis on your experience with microservices architecture and cloud technologies, which are key requirements for this role. I recommend highlighting specific projects where you utilized these technologies and quantifying your achievements to demonstrate impact... Upgrade to Plus ### Am I a good fit for this job? Understand your compatibility with this specific job opportunity. Our detailed analysis will assess your resume against the role's requirements, providing insights into your potential fit, key skill alignments, and areas you might need to develop to be a strong candidate. After assessing your resume against the job requirements, here's a summary of your fit: 1. Overall Match: Moderate Fit (Approx. 65-70%). Your resume shows good alignment with several core responsibilities for the Project Manager role, especially your experience in agile methodologies and stakeholder communication. 2. Key Strengths: Your PMP certification and proven track record in delivering projects on time are strong assets for this position. 3. Potential Gap: The role specifies experience with 'XYZ specific software', which is not explicitly mentioned in your resume. If you have this experience, ensure it's highlighted. 4. Recommendation: Consider adding a quantifiable achievement related to budget management, as this is often a key metric for PM roles... Upgrade to Plus ### Cover Letter Assistant Need help writing a compelling cover letter? Our system can analyze this job and your resume to help you draft personalized paragraphs that highlight your strengths and impress hiring managers. Let me help you draft a strong opening... Dear Hiring Manager, I am writing to express my keen interest in the Senior Marketing Manager position. My background in developing data-driven marketing strategies and leading successful product launches, as detailed in my resume, directly aligns with your need for a candidate capable of enhancing brand visibility and driving market share growth. I am confident I can make a significant contribution to your team... Upgrade to Plus ### AI Summary Pinterest is seeking a Staff Machine Learning Engineer to lead ML strategy for advertiser and seller experiences. The role involves building recommendation systems, context layers, and feedback loops for agentic AI. Responsibilities include end-to-end ownership of ML initiatives, from problem framing to production deployment. The ideal candidate has 7+ years of experience in large-scale ML systems, with expertise in recommendation, ranking, or agentic AI. This is a high-impact individual contributor role focused on shaping AI-driven advertiser tools. ### Role DNA Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative AI Insight The role requires 7+ years of experience, end-to-end ownership of complex ML systems, and expertise in cutting-edge areas like agentic AI and recommendation systems, making it extremely challenging. ### Salary Analysis Median Highly Competitive USD289,531US Market USD150k – 400k 0 USD440k AI Insight The offered salary range of $189,308 to $389,753 is highly competitive, reflecting the seniority and specialized skills required. The median of $289,531 is above the typical market range for similar roles, indicating strong compensation. ### Core Skills Required [Machine Learning](https://jobicy.com/jobs?search_keywords=Machine+Learning.md) [Recommendation Systems](https://jobicy.com/jobs?search_keywords=Recommendation+Systems.md) [Agentic AI](https://jobicy.com/jobs?search_keywords=Agentic+AI.md) [Python](https://jobicy.com/jobs?search_keywords=Python.md) [Java](https://jobicy.com/jobs?search_keywords=Java.md) [Large-Scale Data Systems](https://jobicy.com/jobs?search_keywords=LargeScale+Data+Systems.md) [Ranking](https://jobicy.com/jobs?search_keywords=Ranking.md) [Personalization](https://jobicy.com/jobs?search_keywords=Personalization.md) [Experimentation](https://jobicy.com/jobs?search_keywords=Experimentation.md) [Mentoring](https://jobicy.com/jobs?search_keywords=Mentoring.md) ### Cover Letter Sample I am excited to apply for the Staff Machine Learning Engineer position at Pinterest. With over 8 years of experience building large-scale ML systems, including recommendation engines and agentic AI, I am confident in my ability to drive the ML strategy for advertiser and seller experiences. My background includes end-to-end ownership of ML projects, from problem framing to production deployment, and expertise in retrieval, ranking, and personalization. I have a strong track record of mentoring engineers and raising technical bars, aligning with Pinterest's focus on collaboration and innovation. I am particularly drawn to the opportunity to combine recommendation systems with agentic AI to enhance advertiser productivity. My experience with Python, Java, and large-scale data systems will enable me to contribute immediately. I am eager to bring my skills to Pinterest and help shape the future of AI-driven advertising tools. Thank you for considering my application. Copy ### Sample Interview Questions Describe your experience building and deploying large-scale recommendation systems. What challenges did you face and how did you overcome them?I led the development of a real-time recommendation system for an e-commerce platform, handling millions of users. Challenges included latency constraints and cold start. We used embeddings for user and item representations and implemented a two-stage retrieval-ranking pipeline. We also used online learning to adapt to new users quickly.How would you design a feedback loop for an AI agent that recommends next-best actions to advertisers?I would define explicit feedback (e.g., clicks, conversions) and implicit signals (e.g., time spent). The loop would include A/B testing, counterfactual evaluation, and online learning. I'd also incorporate user satisfaction surveys to capture qualitative feedback.Explain how you would approach multi-objective optimization in a recommendation system for advertiser tools.I would use techniques like scalarization with weights, or Pareto optimization. For example, optimizing for both advertiser ROI and user engagement. I'd also use contextual bandits to dynamically balance objectives based on user segments.Describe a time you mentored junior engineers. What was your approach?I established regular 1:1s, code reviews, and pair programming sessions. I focused on teaching system design and experimentation rigor. One mentee went on to lead a major ML project after a year of guidance.How do you ensure responsible AI usage in production systems?I implement fairness checks, bias audits, and transparency measures. For example, we used disparate impact analysis on recommendation models and added explanation features for users. I also advocate for diverse training data and regular model monitoring. 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](https://www.pinterestcareers.com/our-life/pinflex/) 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](https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/). The Advertiser and Seller Experience team builds intelligent systems that help Pinterest advertisers and sellers move from insight to action. Our work spans advertiser-facing products such as Ads Manager as well as internal seller productivity tools that help sales teams identify opportunities, prepare customer conversations, troubleshoot campaign performance, and drive advertiser growth. As a Staff Machine Learning Engineer focused on Agentic AI & Recommendations, you will lead the ML strategy and execution for the intelligence layer behind these experiences. You will build recommendation systems, context foundations, and feedback loops that help AI agents understand advertiser and seller goals, surface the right next-best action, and learn from user response over time. This is a high-impact Staff IC role for someone who wants to combine deep recommendation systems expertise with modern agentic AI to shape how Pinterest advertisers and sellers work. What you’ll do: * Lead the design and implementation of large-scale recommendation and decisioning systems that power proactive advertiser and seller guidance across Ads Manager, Pinterest Business Assistant, Pinnacle, and sales productivity workflows. * Build ML foundations for a unified context layer and context agent that transforms campaign, account, performance, market, workflow, and interaction data into reusable signals for agentic experiences. * Own recommendation initiatives end-to-end, from problem framing, label and feedback design, feature pipelines, model development, and offline evaluation through production deployment, experimentation, and monitoring. * Develop evaluation and feedback loops that measure recommendation quality, user trust, action rates, business impact, and failure modes, then use those learnings to continuously improve models and agent behavior. * Apply modern ML techniques such as retrieval and ranking, embeddings, personalization, multi-objective optimization, contextual decisioning, and response modeling to business-critical advertiser and seller workflows. * Use AI to accelerate analysis, prototyping, documentation, and experimentation while applying strong judgment, testing, data validation, and review to ensure correctness, reliability, privacy, and customer trust. * Mentor engineers and raise the technical bar for ML development, experimentation rigor, responsible AI usage, and production-quality agentic systems across the organization. What we’re looking for: * 7+ years of experience building and deploying large-scale ML systems in production (e.g., ads ranking, recommendation, Agentic AI, or search), with strong end-to-end ownership from problem scoping through evaluation and experimentation, and solid software engineering skills in at least one modern language (e.g., Python, Java) and large-scale data systems. * Degree in Computer Science, Mathematics, or a related technical field, or equivalent experience. * Strong end-to-end ML ownership, including problem scoping, data and label design, feature engineering, model training, production deployment, offline/online evaluation, experimentation, and monitoring. * Deep understanding of recommendation system architectures such as candidate generation, retrieval, ranking, re-ranking, embeddings, vector search, multi-task learning, calibration, contextual bandits, or reinforcement learning. * Proven Staff-level technical leadership as a hands-on IC, setting technical direction and driving multi-quarter ML and systems roadmaps, including aligning stakeholders on priorities, trade-offs, and execution plans. * Excellent cross-functional communication and collaboration skills, building strong partnerships with product, data science, infra, and partner ML teams to clarify ambiguous problem spaces, co-create solutions, and drive consensus with senior stakeholders. * Experience using AI coding assistants (e.g., Cursor, Claude Code) and LLM-powered productivity tools to accelerate development, experimentation, and data exploration, with a clear approach to validation, data protection, and critical review of AI-assisted work. Relocation Statement: * This position is noteligible for relocation assistance. Visit our [PinFlex](https://www.pinterestcareers.com/pinflex/) page to learn more about our working model. In-Office Requirement Statement: * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. * This role will need to be in the office for in-person collaboration 1 day per week and therefore needs to be in a commutable distance from one of the following offices [Seattle or Bay Area]. #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](https://www.pinterestcareers.com/pinterest-life/). US based applicants only$189,308—$389,753 USD Our Commitment to Inclusion: 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 a medical or religious accommodation during the job application process, please complete [this form](https://forms.gle/sS24D4WboEKUZMQK6) for support. Show more [Apply now >](https://jobicy.com/jobs/145331-staff-machine-learning-engineer-2.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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