As a Senior Specialist, Paid Social at Brainlabs, you will be responsible for delivering high-quality, best-in-class work for clients within your Practice and developing an understanding of how the entire digital marketing ecosystem drives impact for clients.
\nKey responsibilities include:
\nYou will have a good knowledge of other Practices and spearhead projects that lead to process improvements, innovation, and automation that drive meaningful impact for your client or Practice.
\nRegular exposure to clients and developing your presentation and storytelling skills are also essential.
\nWe are looking for someone with 18+ months of successful experience delivering activation for clients in Meta, Instagram, TikTok, LinkedIn, Pinterest, Snapchat, and more. Demonstrable skills in strategy, innovation, and client management are required.
\nStrong data analysis and storytelling skills, a good understanding of how other channels work and optimize together, and strong attention to detail are also necessary.
\nThis role offers a chance to live our Culture Code every day, be passionate about digital marketing, and achieve the goals set by your manager.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_a43f00eb-6f8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Brainlabs","sameAs":"https://www.brainlabs.com/","logo":"https://logos.yubhub.co/brainlabs.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/brainlabs/jobs/4812435101","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Meta","Instagram","TikTok","LinkedIn","Pinterest","Snapchat","Strategy","Innovation","Client Management","Data Analysis","Storytelling"],"x-skills-preferred":[],"datePosted":"2026-04-24T14:15:50.285Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Argentina"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"Meta, Instagram, TikTok, LinkedIn, Pinterest, Snapchat, Strategy, Innovation, Client Management, Data Analysis, Storytelling"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8816e9af-326"},"title":"Staff Technical Program Manager, Ads Measurement","description":"We're seeking a Staff Technical Program Manager to join our Ads Measurement team. As a Staff Technical Program Manager, you will be responsible for delivering critical and strategic outcomes by directing and scaling engineering effort across organisational and functional boundaries.
\nThe Ads Measurement team is responsible for proving the value of advertising at Pinterest. You will be driving the development of new solutions, scaling existing solutions, solving complex engineering problems, and driving ambiguous programs from inception to launch.
\nYour responsibilities will include owning end-to-end program delivery for Ads Measurement initiatives, driving clarity through ambiguity in a complex technical domain, influencing technical direction and tradeoffs with strong technical judgment, executing at both breadth and depth, and being a thought leader to your stakeholders.
\nYou will also be responsible for building durable program mechanisms and best practices, using GenAI as the default operating model for EP PgM execution, prototyping solutions to augment decisions through data or simplify processes using AI coding assistants, and following Pinterest AI guidance for risk, governance, and safety-by-design.
\nThis role is expected to lead strategic, complex programs that span multiple orgs and contribute directly to company OKRs. You will partner tightly with Engineering, Product, PMM, Design, and Sales to align narratives, commitments, and launch readiness across highly interdependent teams.
\nTo be successful in this role, you will need 7+ years of experience as a technical program manager or related experience, an entrepreneurial spirit with strong leadership, a passion for execution, and solid technical background and ability to quickly understand technical designs, challenges, and risks.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_8816e9af-326","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/7794123","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["technical program management","engineering","program delivery","GenAI","AI coding assistants","Pinterest AI guidance"],"x-skills-preferred":["ads measurement","program management","data analysis","AI development"],"datePosted":"2026-04-24T12:15:26.659Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical program management, engineering, program delivery, GenAI, AI coding assistants, Pinterest AI guidance, ads measurement, program management, data analysis, AI development"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2d985520-6c0"},"title":"PhD Fall Machine Learning Intern (ATG — Visual, Multimodal, and Recommender Systems)","description":"About Pinterest:
\nMillions 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.
\nAt 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.
\nCreating 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.
\nTo 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.
\nYou can read more about our AI interview philosophy and how we use AI in our recruiting process here.
\nAs a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest’s visual understanding modules and recommender systems.
\nYou'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions.
\nWe offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.
\nNote to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.
\nInternships are 12 weeks paid from September 21 - December 11, 2026.
\nDepending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
\nWhat you’ll do:
\nYou will be exposed to full-stack production ML systems.
\nWhat we’re looking for:
\nPreferred Qualifications:
\nWhy Intern at Pinterest?
\nIn-Office Requirement Statement:
\nAt 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. 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.
\nUS based applicants only
\nThe salary for this position is $12,100 monthly.
\n#LI-HYBRID #LI-EB1
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_2d985520-6c0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/7255640","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"internship","x-salary-range":"The salary for this position is $12,100 monthly.","x-skills-required":["Machine Learning","Computer Vision","Recommendation Systems","Generative AI","Responsible AI","Python","Tensorflow","Pytorch","MLFlow","Java","C++"],"x-skills-preferred":["Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields","Strong passion for research and for answering hard questions with research","Passion for applied ML and the Pinterest product"],"datePosted":"2026-04-24T12:14:52.788Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, US"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Computer Vision, Recommendation Systems, Generative AI, Responsible AI, Python, Tensorflow, Pytorch, MLFlow, Java, C++, Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields, Strong passion for research and for answering hard questions with research, Passion for applied ML and the Pinterest product","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":12100,"maxValue":12100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b9aac1b6-1d6"},"title":"Master's Fall Machine Learning Internship (ATG - Visual Search)","description":"About Pinterest:
\nMillions 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.
\nAt 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.
\nDiscover 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.
\nCreating a career you love? It's Possible.
\nAt 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.
\nTo get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
\nThrough 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.
\nYou can read more about our AI interview philosophy and how we use AI in our recruiting process here.
\nAs a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems.
\nYou'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions.
\nWe offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.
\nNote to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams.
\nPlease only apply once within the USA or Canada as multiple applications may delay our recruitment process.
\nInternships are 12 weeks paid from September 21 - December 11, 2026.
\nDepending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
\nWhat you'll do:
\nYou will be exposed to full-stack production ML systems.
\nWhat we're looking for:
\nWe are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Generative AI, and LLMs.
\nBeing able to find solutions for open-ended problems.
\nPreferred Qualifications:
\nWhy Intern at Pinterest?
\nIn-Office Requirement Statement:
\nThat means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection
\nThis role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
\nAt Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee.
\nIn an effort to provide greater transparency, we are sharing the base salary range for this position.
\nFinal salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
\nInformation regarding the culture at Pinterest and benefits available for this position can be found here.
\nUS based applicants only
\nThe salary for this position is $11,000 monthly.
\n#LI-HYBRID #LI-EB1
\nOur Commitment to Inclusion:
\nPinterest is an equal opportunity employer and makes employment decisions on the basis of merit.
\nWe want to have the best qualified people in every job.
\nAll 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.
\nWe also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
\nIf you require a medical or religious accommodation during the job application process, please complete this form for support.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_b9aac1b6-1d6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/7253017","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"internship","x-salary-range":"Base salary range for this position is $11,000 monthly.","x-skills-required":["Machine Learning","Computer Vision","Generative AI","Responsible AI","Python","Tensorflow","Pytorch","MLFlow","Java","C++"],"x-skills-preferred":["Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields","Strong passion for research and for answering hard questions with research","Passion for applied ML and the Pinterest product"],"datePosted":"2026-04-24T12:13:21.233Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, US"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Computer Vision, Generative AI, Responsible AI, Python, Tensorflow, Pytorch, MLFlow, Java, C++, Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields, Strong passion for research and for answering hard questions with research, Passion for applied ML and the Pinterest product","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":11000,"maxValue":11000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0b5a4347-f37"},"title":"Sr. Machine Learning Engineer, Monetization Engineering","description":"About this role:
\nWe're looking for a Senior Machine Learning Engineer to join our Monetization team. As a key member of the team, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
\nKey responsibilities include:
\nRequirements:
\nNice to have:
\nRelocation Statement:
\nThis position is not eligible for relocation assistance.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_0b5a4347-f37","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/6121551","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189,721-$332,012 USD","x-skills-required":["Machine Learning","Deep Learning","Data Processing Pipelines","Large-Scale Machine Learning Systems","Big Data Technologies","Recommender Systems","Ads Ranking","Retrieval","Targeting","Marketplace Systems"],"x-skills-preferred":["M.S. or PhD in Machine Learning or related areas","Publications at top ML conferences","Experience using Cursor, Copilot, Codex, or similar AI coding assistants","Familiarity with LLM-powered productivity tools","Expertise in scalable real-time systems","Passion for applied ML and the Pinterest product","Background in computational advertising"],"datePosted":"2026-04-18T15:56:06.423Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Deep Learning, Data Processing Pipelines, Large-Scale Machine Learning Systems, Big Data Technologies, Recommender Systems, Ads Ranking, Retrieval, Targeting, Marketplace Systems, M.S. or PhD in Machine Learning or related areas, Publications at top ML conferences, Experience using Cursor, Copilot, Codex, or similar AI coding assistants, Familiarity with LLM-powered productivity tools, Expertise in scalable real-time systems, Passion for applied ML and the Pinterest product, Background in computational advertising","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189721,"maxValue":332012,"unitText":"YEAR"}}}]}