Mid Level Staff Research Engineer Jobs
Mid level staff research engineer jobs go to engineers ready to own research projects end to end, drive technical decisions with limited oversight, and mentor junior teammates through complex problem-solving. Openings are spread across on-site, hybrid, and remote settings in Technology & Software, Artificial Intelligence, and Education, with employers like Scale AI, Google, and RoboForce hiring at this level now.
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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 is looking for a Staff Qualitative researcher to play a crucial role in the Pinterest monetization team to scope, execute research and uncover insights. We are looking for a talented and creative storyteller who ideally has had experience working in B2B, digital e-commerce or advertising experiences and who can bring actionable insights to life to drive product impact.
What you'll do:
- Scope, prioritize, execute research using various qualitative methodologies for one or more sub areas of the monetization product
- Identify and articulate gaps in our understanding of the monetization products they support that can (directly or indirectly) impact our products
- Collaborates effectively with researches across Pinterest and builds strong relationships as a strategic thought partner with key senior cross functional partners (across Marketing, Product, Design, etc.) to influence strategy through insights
- Proactively communicates and shares research findings with product and cross functional teams, leaders and other audiences (within or across orgs) in compelling, actionable and engaging ways
- Inform and guide product decisions and strategy within the monetization space that can transcend beyond their immediate teams
What we're looking for:
- 5+ years experience scoping, designing and conducting end-to-end product research (from initial design and recruitment through final deliverable) as part of cross-functional product teams, ideally in ad tech, b2b, enterprise SaaS industry
- Ability to toggle between owning and executing end-to-end research and leveraging insights to shape strategy and influence decision making with product leaders. Ability to identify key areas/ key questions for research to go after is a must.
- Demonstrated working knowledge of modern AI tooling (e.g., LLM-based workflows, prompt/prototype tools, evaluation/QA methods) and hands-on experience planning and conducting user research for AI-powered products or features (from study design through insights and recommendations).
- Broad toolbox of qualitative methods and the ability to select appropriate methods to answer different types of questions
- Curiosity, self-awareness, humility, and a drive for growth, learning, and sharing knowledge
- Excellent communication, collaboration, and group facilitation skills
- Experience recruiting and conducting research with businesses or on B2B products, a plus. Ads background preferred but not required.
- Bachelor's degree in a relevant field, or equivalent experience.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our 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 1-2 times every 6-months and therefore can be situated anywhere in the country.
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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 for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
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Mid Level Staff Research Engineer Jobs: Frequently Asked Questions
How do I get a mid level staff research engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you led the research direction, made design decisions, or delivered results without close supervision. Tailor your application to show depth in a specific research domain, point to published work or technical outcomes where possible, and demonstrate that you can operate independently across a full project cycle.
Which companies hire mid level staff research engineers?
Companies hiring mid level staff research engineers right now include Scale AI, Google, and RoboForce, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of large technology firms running internal research labs, industrial companies with R&D divisions, and growth-stage startups scaling their research function.
Are there remote mid level staff research engineer jobs?
Yes, though availability varies by research area and employer. About 18% of mid level staff research engineer openings are remote or hybrid as of November 2026, reflecting the fact that research-heavy roles often require lab access or on-site collaboration. Fully remote positions tend to concentrate in software-driven research domains like machine learning and data science.
How do I move up to a mid level staff research engineer role?
Moving into mid level comes from building a consistent record of independent research contributions over your first few years. Focus on owning a narrower problem deeply, shipping work that others build on, and showing that you can scope and execute without constant guidance. Peer-reviewed publications, patents, or demonstrable technical impact in a production or research system all signal readiness for greater scope.
Which industries hire the most mid level staff research engineers?
Mid Level staff research engineer roles concentrate in Technology & Software, Artificial Intelligence, and Education, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they invest heavily in applied research to maintain competitive advantages in areas like AI, materials science, semiconductor design, and biomedical innovation.