Measurement Science Intern

Join Samba TV, a pioneering company that is redefining the global viewing experience through advanced data and technology. Our mission is to fundamentally enhance how audiences engage with streaming and broadcast video, empowering media companies to connect with viewers in innovative ways. Our unique perspective on culture is shaped by our expansive data footprint and AI-driven insights.We are looking for enthusiastic and detail-oriented interns to be part of our Measurement team. In this role, you will collaborate with Measurement Partners to explore how our solutions influence advertising decisions for our publishers and platform businesses.

Join our innovative team at Samba TV as a Measurement Science Associate, where you will play a critical role in advancing our measurement capabilities. You will collaborate with cross-functional teams to develop and implement data-driven strategies that enhance our television analytics and audience measurement solutions.

About FaireFaire is a dynamic online wholesale marketplace committed to the belief that the future is local. Independent retailers around the globe are generating more revenue than major corporations like Walmart and Amazon combined, yet they often lack the visibility and resources to compete. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs worldwide. Imagine your favorite local boutique—our platform helps them uncover the finest products from around the globe to offer in their stores. With our innovative tools and insights, we strive to level the playing field, enabling small businesses everywhere to thrive against the giants of retail.By championing the growth of independent businesses, Faire not only supports local economies but also creates a positive economic impact on communities worldwide. We are seeking intelligent, resourceful, and passionate individuals to join us in our mission to empower the shop local movement. If you share our belief in community, we invite you to become part of ours.About this role:At Faire, we leverage cutting-edge machine learning and data insights to transform the wholesale industry, equipping local retailers to compete with e-commerce behemoths. Our team of skilled data scientists and machine learning engineers is dedicated to crafting algorithmic solutions for search, personalization, recommendation systems, and ranking. Our mission is to empower local retail businesses with the necessary tools for success.The Data Science team plays a crucial role in creating and maintaining a variety of algorithms and models that drive our marketplace. We are committed to developing machine learning models that support our customers' growth.We have several openings available in the Data organization.Search: Experience with GenAI and LLMs for search optimization, query understanding, retrieval, and ranking is preferred.Personalization: Experience in personalizing recommendation surfaces through embeddings, near-real-time streaming signals, explore-exploit, and diversification is a plus.Retailer Growth: Experience in developing machine learning solutions to enhance growth through paid marketing bidding, targeting efficiency, and sitemap optimization is preferred.Retailer Products: Experience with predictive modeling, Redshift, and Mode Analytics is advantageous.

About Faire Faire is an online wholesale marketplace focused on supporting independent retailers. By connecting small businesses with products from around the world, Faire aims to help local shops compete with major players like Walmart and Amazon. The company uses technology, data analytics, and machine learning to provide insights and tools that level the playing field for entrepreneurs everywhere. Faire’s work strengthens local economies by enabling independent businesses to thrive. The team values resourcefulness, intelligence, and a commitment to community. Those who believe in supporting local businesses will find a shared purpose here. Role Overview: Data Science Intern – Personalization & Recommender Systems This internship focuses on building and improving machine learning systems that power search, personalization, and recommendations for Faire’s marketplace. Interns will join a team dedicated to developing algorithms that help local retailers discover relevant products and compete with larger competitors. The team welcomes Master’s and PhD students with a background in recommender systems, personalization, or applied machine learning. Who We’re Looking For Strong interest in recommender systems and personalization Experience applying modern machine learning techniques to ranking or representation learning PhD candidates: a record of publications or submissions to top conferences (such as KDD, RecSys, ICML, NeurIPS, WWW, SIGIR) Master’s candidates: meaningful research projects, internships, or open-source contributions in related areas What You’ll Work On Design and build advanced recommender systems for product ranking and discovery Develop methods for user and item representation learning Collaborate with machine learning engineers to move research solutions into production Tackle personalization challenges that impact millions of recommendations each day Location San Francisco, CA

Join Our Visionary TeamAt OpenAI, we are dedicated to promoting the responsible and widespread adoption of artificial intelligence. Our Marketing team plays a pivotal role in this mission by gaining deep insights into customer audiences and market dynamics. We strive to influence product development, establish sustainable monetization models, and enhance awareness and usage of OpenAI’s innovative products and platform.We adopt a data-driven methodology to explore market trends, develop monetization strategies, and identify customer needs that drive product strategy and messaging. Our collaborative approach involves close partnerships with Sales, Partnerships, Product, Engineering, Research, Communications, and Design teams to ensure a seamless customer experience and successful go-to-market strategies for new product launches across various channels.Your Role as Advertising Marketing Science LeadWe are seeking a dynamic leader in Advertising Marketing Science to establish and scale our advertiser-facing reporting, measurement, and attribution credibility. You will leverage your measurement expertise and cross-functional leadership skills to shape how advertisers perceive performance on OpenAI and ensure our reporting aligns with their existing measurement frameworks, including MTA, incrementality/lift testing, and MMM/geo experimentation.Initially, this position will involve hands-on contributions as you build the methodological foundations of OpenAI’s advertising measurement system. As the role evolves, you will define the strategic vision, operational model, and team structure necessary to scale this function globally in response to growing advertiser adoption.This opportunity is perfect for an individual who thrives on creating new capabilities from the ground up, can effectively communicate intricate causal measurement methodologies into trusted industry narratives, and is passionate about collaborating with cross-functional teams, including Product, Engineering, Sales, Partnerships, and Legal, to build a privacy-conscious measurement ecosystem.Key Responsibilities:Define OpenAI’s advertiser measurement strategy, ensuring our reporting aligns with diverse attribution methodologies (MTA, incrementality/lift testing, MMM, geo experimentation) and partner measurement frameworks.Establish the foundational structure of OpenAI’s Marketing Science function, initially leading efforts as an individual contributor while designing the long-term team structure, operational model, and measurement programs.Facilitate advertiser-facing measurement discussions, representing OpenAI in executive briefings and industry conversations while instilling confidence in our methodologies and reporting.

Role Overview OpenAI is hiring a Product Manager focused on Safety Measurement in San Francisco. This role leads the creation and rollout of safety protocols for OpenAI’s products. The work centers on improving how safety is measured and maintained throughout the product lifecycle. Key Responsibilities Develop and implement safety protocols for new and existing products. Work closely with engineering, research, and policy teams to raise safety standards. Monitor compliance with industry regulations and internal guidelines. Drive safety initiatives that shape user experience and strengthen product reliability. Collaboration This position requires regular collaboration with cross-functional teams across OpenAI. The Product Manager will coordinate efforts between technical and non-technical groups to ensure safety remains central to product development.

Internship Dates: June 1, 2026 – August 21, 2026Location: United States Role overview Airbnb’s Core Data Science team is seeking a Data Science Intern (PhD) for Summer 2026. This team addresses complex business questions through data research, modeling, and empirical analysis, with a focus on scientific innovation and practical improvements to the Airbnb platform. The internship centers on the Trip Intelligence working group, which develops and enhances the GSAT model, an AI-driven system that measures guest satisfaction using diverse data sources. What you will do Review academic research to find ways to incorporate active learning into existing models Investigate new approaches for dataset labeling to support model training and evaluation Build and test an active learning pipeline for the GSAT model, then analyze its performance Experiment with techniques to improve label quality, including using LLM labeling agents Internship experience This internship offers practical experience with Generative AI and the opportunity to work on projects that directly affect Airbnb’s guest experience. Interns will engage in exploratory research and gain insight into industry data science practices.

Exciting OpportunityUnity is embarking on a transformative journey to enhance its capacity to directly assess the effectiveness of its advertising solutions—specifically measuring whether a particular ad led to an installation—without solely depending on third-party mobile measurement partners (MMPs). We are seeking a Principal Engineer for Ads Measurement to spearhead this initiative. This position entails owning the vision and implementation of Unity's self-attribution capabilities, facilitating independent ad performance measurement, cultivating reliable sources of truth for AI/ML optimization, and establishing a clear, deliberate relationship with the MMP ecosystem. This key leader will work at the nexus of advertising, data science, platform strategy, and developer trust, influencing how Unity measures, interprets, and enhances advertising outcomes in an intricate and dynamic measurement environment.Key ResponsibilitiesArchitect Unity’s Measurement Infrastructure: Design and execute a scalable technical framework essential for independent measurement of install attribution and ad effectiveness.Enhance Self-Attribution Capabilities: Lead the engineering initiatives to create internal attribution signals and ensure reliable, privacy-conscious install measurement across various platforms.Drive AI/ML Optimization: Work closely with data science and machine learning teams to guarantee that measurement data is of high quality and optimally structured for model training.Establish Technical Strategy for MMP Ecosystem: Define technical integration standards for Unity as a self-attributing network, ensuring secure and consistent data exchanges within the broader ecosystem.Foster Cross-Functional Technical Leadership: Ensure alignment across Ads, Data, Engineering, and Privacy teams, making measurement a robust strategic asset.

Employee Applicant Privacy NoticeAbout Us:At SoFi, we are dedicated to creating a brighter financial future. Together with our members, we are revolutionizing how individuals engage with personal finance. As a next-generation financial services provider and national bank, we leverage cutting-edge, mobile-first technology to empower millions of members in achieving their financial aspirations. The financial industry is undergoing a remarkable transformation, and we are leading the charge. Join us in our mission to transform lives through innovative financial solutions.Position Overview:We are looking for a strategic and collaborative Senior Product Manager to join our Marketing and Ads Technology team at SoFi. This pivotal role focuses on the platforms that enhance our advertising and marketing measurement capabilities. Your contributions will be essential in driving member acquisition, engagement, and retention, aligning with SoFi's mission to support our members in managing their finances effectively.In this role, you will establish a clear vision, pinpoint opportunities, set ambitious goals, and define both member and marketer experiences while delivering innovative features. As a key product leader, you will inspire your cross-functional teams to achieve exceptional results for our members, acting as a passionate advocate for their needs. Your influence will extend across various business units, ensuring that we create seamless experiences that resonate with our customers.This position requires a high level of collaboration with engineering, marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams, driving business objectives, shaping product strategy, prioritizing features, and executing on our commitments. You will play a crucial role in balancing business growth with risk management.

Join the innovative team at Pinterest as a Staff Data Scientist specializing in Ad Measurement Products. In this role, you will leverage your expertise to enhance our advertising solutions by analyzing data to drive strategic decision-making. You will collaborate with cross-functional teams to develop and implement data-driven strategies that optimize ad performance and measurement accuracy.

We are seeking a motivated and detail-oriented CRA Evaluation & Impact Measurement Analyst to join our dynamic team at dstaff. In this role, you will be responsible for assessing the effectiveness of our programs and initiatives, utilizing data analysis to drive decision-making and improve outcomes.Your expertise in evaluation methodologies and impact measurement will be critical in shaping our strategic direction. You will collaborate with various stakeholders to collect, analyze, and interpret data, ensuring our projects align with our mission and deliver tangible results.

Join Unity and redefine the future of gaming analytics!As a Senior Product Manager for Ads Measurement, you'll play a pivotal role in empowering game developers to better understand and expand their player communities. This role places you at the forefront of how Unity aids developers in making informed, data-driven choices regarding their games and advertising efforts.You will manage a dynamic portfolio of measurement initiatives, including a strategic partnership that is instrumental in enhancing core capabilities within the Unity Ads Measurement arena. Collaborate across Unity's Data Developer Framework, recommendation engines, and client-facing measurement tools to deliver essential insights that drive developer success.We seek a dedicated PM who can take charge of a complex measurement domain, quickly build trust with technical and business stakeholders, and create significant impact from the outset. If you have a passion for data, enhancing developer experience, and bridging the gap between ads and measurement, this is the perfect opportunity for you.

Pinterest is looking for a Senior Staff Software Engineer to focus on Ads Measurement. This role involves designing and building systems that enhance the way advertisers assess and understand the performance of their campaigns. The work directly shapes the tools and insights available to advertisers on the platform. What you will do Create and implement systems that improve ads measurement capabilities Work closely with engineering, product, and analytics teams to refine measurement strategies Support efforts to provide advertisers with clear and reliable insights into the impact of their campaigns Locations Seattle, WA, US Palo Alto, CA, US San Francisco, CA, US

Join Pinterest as a Staff Software Engineer focused on Ads Measurement Products. In this role, you will be at the forefront of developing innovative solutions that enhance our advertising strategies and improve our measurement capabilities. Your expertise will directly impact how we analyze and optimize campaigns, ensuring that our advertisers can achieve their goals effectively.

Pinterest is hiring a Staff Technical Program Manager to focus on Ads Measurement. This role can be based in San Francisco, CA or performed remotely within the US. Role overview This position centers on leading key projects that enhance Pinterest’s advertising analytics and measurement capabilities. The Staff Technical Program Manager will work across teams to ensure technical progress supports business objectives and delivers value to advertisers. What you will do Lead large-scale initiatives to advance advertising analytics and measurement solutions. Work closely with engineering, product, and business partners to connect technical outcomes with business needs. Oversee the development and deployment of measurement tools for advertisers. Promote innovation and encourage continuous improvement across teams. Requirements Proven experience managing technical programs, ideally in advertising analytics or measurement. Background working with cross-functional teams. Skill in aligning product development with broader business strategies. Track record of leadership in technical execution and driving a culture of improvement.

About the TeamThe Applied Foundations team at OpenAI is focused on ensuring our innovative technology remains secure against a range of adversarial threats. We are committed to safeguarding the integrity of our platforms as they expand. Our team plays a crucial role in defending against financial abuse, large-scale attacks, and various forms of misuse that could compromise user experience or operational stability.The Integrity pillar within Applied Foundations is tasked with developing robust systems that identify and respond to harmful actors and activities on OpenAI’s platforms. As these systems evolve to address significant usage harms, we are seeking skilled data scientists to accurately measure the prevalence of these issues and assess the effectiveness of our responses.About the RoleWe are in search of experienced trust and safety data scientists who can enhance, operationalize, and oversee the measurement of complex actor- and network-level harms. The selected data scientist will be responsible for measurement and metrics across various established harm verticals, including estimating the prevalence of on-platform (and occasionally off-platform) harm, while also conducting analyses to uncover gaps and opportunities in our responses.This position is based in our San Francisco or New York office and may require addressing urgent escalations outside of regular working hours. Many harm areas may involve sensitive content, including sexual, violent, or otherwise disturbing material.In this role, you will:Lead measurement and quantitative analysis for a range of severe, actor- and network-based usage harm verticals.Develop and apply AI-first methodologies for prevalence measurement and other standardized safety metrics, potentially incorporating off-platform indicators and non-traditional datasets.Create metrics that can be utilized for goal-setting or A/B testing where traditional prevalence or top-line metrics may not apply.Manage dashboards and metrics reporting for harm verticals.Perform analyses and generate insights to guide improvements in review, detection, and enforcement processes, while influencing strategic roadmaps.Optimize LLM prompts specifically for measurement purposes.Collaborate with other safety teams to identify key safety issues and develop relevant policies to address safety needs.Provide metrics for leadership to support informed decision-making.

Cheminformatics and Machine Learning InternGenesis Molecular AI is assembling a premier computational team dedicated to creating the industry’s most rapid and precise small molecule property predictions by harnessing the synergy of machine learning and physics-based methods. We invite early-career scientists who excel in the development and application of machine learning, physics, and cheminformatics techniques to advance our ambitious drug discovery initiatives.About the RoleIn this role, you will be an integral part of our machine learning and cheminformatics team, contributing significantly to our internal ML and physics-based platform that propels our drug discovery projects forward.Your responsibilities will likely encompass developing innovative methodologies for potency and ADME/PK property prediction, as well as prototyping integrations with cutting-edge molecular modeling tools.Your ResponsibilitiesLead a groundbreaking research project from concept to implementation, aimed at enhancing our internal tools for potency and ADME prediction.Prototype innovative approaches based on recent academic publications. Design and conduct large-scale experiments to validate promising findings using both internal and public benchmarks.Collaborate closely with our computer-aided drug discovery scientists and medicinal chemists to develop, benchmark, and implement enhancements to our drug discovery platform as it relates to our internal and partnered drug discovery efforts.Your ProfileA graduate student with a strong track record in developing cheminformatics tools and/or physics methods relevant to drug discovery.Proficient in Python programming with a demonstrated ability to navigate and contribute to complex codebases.An experienced machine learning practitioner with familiarity in common architectures and proven skills in troubleshooting real-world applications.A detail-oriented data scientist adept at managing diverse data sources. Familiarity with RDKit, OpenEye, and other cheminformatics libraries is a plus.Passionate about making a tangible impact on drug discovery projects and engaging with a diverse team of ML practitioners, medicinal chemists, and drug discovery scientists.

Role Overview DoorDash is hiring a Data Science Manager to lead a team of data scientists working on projects that use data to improve DoorDash’s services. This role involves managing team members, setting direction for analytical model development, and shaping strategies that influence decisions across the company. What You Will Do Oversee and mentor a team of data scientists Guide the development of analytical models and data-driven strategies Work with teams from different departments to spot opportunities for improvement Deliver insights that help DoorDash connect people with top local options Locations San Francisco, CA Sunnyvale, CA Seattle, WA New York, NY Chicago, IL Austin, TX

Join Pinterest as a Manager II in Data Science and play a vital role in shaping our data-driven strategies. Lead a talented team of data scientists to leverage analytics and machine learning, driving impactful insights that enhance user experience and business outcomes.In this position, you will collaborate cross-functionally with engineering, product management, and marketing teams, ensuring that analytics is deeply integrated into our decision-making processes.

Join our team at Axsome Therapeutics, a pioneering biopharmaceutical company that is redefining the treatment of central nervous system (CNS) disorders. We are committed to delivering innovative scientific solutions by identifying key healthcare gaps and developing unique products focused on novel mechanisms of action. Our award-winning neuroscience portfolio includes FDA-approved treatments for major depressive disorder, excessive daytime sleepiness related to narcolepsy and obstructive sleep apnea, as well as migraine. Additionally, we have multiple late-stage development programs targeting a wide array of serious neurological and psychiatric disorders that affect over 150 million individuals in the United States. Together, we strive to tackle some of the most pressing challenges in brain health, ensuring that patients and their families can lead fulfilling lives. To discover more about our work, please visit www.axsome.com or follow us on LinkedIn.