Senior Applied AI/ML Scientist - Advertising Bidding Solutions

About FaireFaire is revolutionizing the wholesale marketplace, advocating for local businesses by connecting independent retailers worldwide. We believe in the power of local entrepreneurship, where independent shops can thrive and compete against giants like Walmart and Amazon. Our innovative technology, data analytics, and machine learning empower these businesses to discover unique products that resonate with their communities. By supporting local economies, we are committed to driving positive change globally. Join us in our mission to empower local businesses and make a difference!About this RoleAs a vital member of our Ads Data team, you will play a crucial role in developing cutting-edge advertising solutions for the wholesale sector. You will influence the design and functionality of our auction system, focusing on bidding strategies, pacing, pricing, and budget optimization. Utilizing our proprietary conversion data, you will train models that yield significant business outcomes for our partners. This is an exceptional opportunity to make a substantial impact in a rapidly growing division that is a key strategic focus for Faire.Collaborating with engineers, product managers, and designers, you will contribute to systems that not only demonstrate technical sophistication but also enhance profitability for both our brands and Faire.

About FaireFaire is revolutionizing the wholesale marketplace by empowering independent retailers globally. We believe in the strength of local commerce, where small businesses can thrive against giants like Walmart and Amazon. Our technology leverages data and machine learning to connect these vibrant entrepreneurs, enabling them to access the best products from around the world. With the right insights and tools, we’re leveling the playing field for small businesses everywhere.By championing the growth of local enterprises, Faire is making a significant economic impact in communities around the globe. We seek intelligent, passionate, and innovative individuals to join us in this mission. If you share our belief in the power of community, we invite you to become part of ours.About This RoleThe Ads Data team is pioneering the next generation of advertising solutions for the wholesale industry. As a vital contributor, you will help shape our advertising marketplace and auction systems at Faire, focusing on auction design, bidding strategies, pacing, pricing, and budget optimization. Our in-house technology stack allows us complete ownership over the process, and our first-party conversion data enables us to train highly effective models that drive substantial, business-critical outcomes for our brands.This is a unique opportunity to be an early member of a rapidly growing team in a crucial area of our business. Ads are a top priority for the company, and your contributions will significantly influence the platform that connects independent retailers with brands. Collaborating closely with engineers, product managers, and designers, you will launch and refine systems that not only exhibit technical sophistication but also positively impact the financial outcomes for both brands and Faire.Your ResponsibilitiesLead the comprehensive development of machine learning models across the ads bidding framework—from problem identification and solution design to modeling, implementation, deployment, experimentation, and performance assessment.Create advanced models and algorithms for auction optimization, bid shading, bid multipliers, budget allocation, pacing, and advertiser ROI/ROAS optimization—utilizing marketplace optimization principles and best practices.Identify and enhance bidding strategies to maximize the effectiveness of advertising campaigns.

About FaireFaire is a pioneering online wholesale platform that champions local economies. Independent retailers around the world are generating more revenue than giants like Walmart and Amazon combined, yet they often lack the resources to compete. At Faire, we leverage cutting-edge technology, data analytics, and machine learning to empower these small business owners. Imagine your beloved local boutique; we connect them with exceptional products from various parts of the globe. With our innovative tools and insights, we strive to level the playing field, enabling small businesses to thrive against corporate giants.By fostering the growth of independent businesses, Faire is creating significant positive economic impacts in local communities worldwide. We are seeking intelligent, resourceful, and passionate individuals to join us in driving the shop local movement. If you believe in the power of community, we invite you to become a part of ours.About this RoleThe Ads Data team is at the forefront of developing next-generation advertising solutions for the wholesale sector. As a vital contributor to this team, you will spearhead the machine learning algorithm design and strategy that drives one of the most pivotal components of customer value and company growth—Search Ads. You will oversee the development of real-time systems that determine ad placements for specific queries, optimizing for relevance, marketplace health, and advertiser success. This role encompasses many technical aspects akin to Faire’s organic Search roles, including modern NLP/LLMs, query understanding, and real-time ranking, while functioning in an advertising context with auctions, budgets, and pacing constraints.You will be at the cutting edge of algorithm development, merging large language models, natural language processing, query comprehension, deep learning, and structured behavioral data to deliver highly pertinent sponsored results for any search query.What You'll DoLead and enhance the Search Ads relevance stack, including query understanding, targeting, candidate generation, multi-stage ranking, and calibration, while achieving strict latency and reliability objectives.Design and implement machine learning models that enhance the relevance and personalization of sponsored results, utilizing a mix of unstructured signals (text/images where applicable), LLM-based representations, and structured marketplace features.Collaborate closely with engineering and product teams to integrate relevance improvements into our advertising solutions.

About FaireFaire is a dynamic online wholesale marketplace that champions the belief in a localized future. Independent retailers worldwide are generating more revenue than industry giants like Walmart and Amazon combined; however, on their own, they remain small. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs globally. Imagine your favorite local boutique — we empower them to discover exceptional products from around the world to offer in their stores. With the right tools and insights, we believe we can create a level playing field so that small businesses everywhere can compete with the massive retail and e-commerce entities.By fostering the growth of independent businesses, Faire positively impacts local economies globally. We seek intelligent, resourceful, and passionate individuals to join us in fueling the shop local movement. If you believe in community, we invite you to become a part of ours.About this RoleThe Ads Data team is developing the next generation of advertising solutions for the wholesale sector. As an integral member of this team, you will spearhead the machine learning algorithm strategy and system architecture that drives one of the most vital components for customer value and corporate growth—Search Ads. You will lead the development of real-time systems that determine which ads to display for a given query, their placement, and how to optimize for relevance, marketplace health, and advertiser performance. This role parallels many technical expectations of Faire's organic Search positions (including modern NLP/LLMs, query understanding, real-time ranking), while functioning within an advertising context featuring auctions, budgets, and pacing constraints.You will work at the cutting edge of algorithms, blending large language models, natural language processing, query understanding, deep learning, and structured behavioral data to deliver highly relevant sponsored results for any query.

Join Demandbase as an Applied AI Scientist, where you'll have the opportunity to push the boundaries of AI technology in a dynamic and innovative environment. As a key member of our team, your role will involve developing and implementing advanced AI solutions that drive impactful business results.We're looking for a passionate individual who thrives on solving complex problems and is eager to contribute to AI advancements. You will collaborate with cross-functional teams to integrate AI models into our existing frameworks and enhance our product offerings.

Faire connects independent retailers and brands worldwide through a technology-driven wholesale platform. The company’s mission centers on helping local businesses thrive by using data and machine learning to bring efficiency and insight to a traditionally fragmented market. Faire’s tools make it easier for boutiques to discover products globally and strengthen their communities. Role overview The Senior Applied AI/ML Scientist - Fulfillment joins Faire’s Data team, which builds and maintains a range of algorithms powering the marketplace. This team’s work helps small retailers compete by delivering advanced machine learning solutions and actionable insights. This position focuses on logistics and fulfillment challenges. Key areas include optimizing freight costs, determining credit limits for retailers, and expanding Faire’s retailer base through improved search engine optimization and personalized landing pages. Predicting retailer lifetime value is also a core responsibility, supporting business and product decisions. What you will do Develop and refine machine learning models for logistics and freight cost optimization Design algorithms to set optimal credit limits for retailers Enhance retailer acquisition by improving SEO and personalizing landing pages Predict retailer lifetime value to guide business and product strategy Work closely with fellow AI/ML scientists, engineers, and product managers to deliver impactful projects using marketplace data Team and culture The Data team includes scientists and engineers with experience at companies such as Uber, Airbnb, Square, Facebook, and Pinterest. Faire values resourcefulness, intelligence, and a commitment to supporting local communities. Team members contribute directly to Faire’s mission, shaping the future of independent retail with advanced machine learning. Location San Francisco, CA

SentiLink is at the forefront of delivering cutting-edge identity and risk management solutions, providing both individuals and institutions the ability to transact with assurance. We are revolutionizing identity verification within the United States, replacing outdated, inefficient, and costly practices with solutions that are ten times faster, smarter, and more precise.Our rapid growth is a testament to our innovative approach; our real-time APIs have successfully verified hundreds of millions of identities, initially focusing on the financial sector and quickly expanding into various new markets. SentiLink enjoys the support of prestigious investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.We are proud to have received accolades from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, and American Banker, and we have been featured in the Forbes Fintech 50 list every year since 2023. Notably, we made history as the first company to deploy the eCBSV and have testified before the United States House of Representatives regarding the future of identity verification.SentiLink accommodates a flexible work environment, ranging from fully remote positions to in-office roles. As a digital-first company, we emphasize collaboration across teams in the U.S. and India. We have physical locations in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., alongside offices in Gurugram (Delhi) and Bengaluru in India. For those near our offices, we encourage regular office attendance. Certain roles, such as our engineering team in India, are designed to be primarily in-office.Role Overview:As a Senior Applied ML Scientist at SentiLink, you will be instrumental in developing our core products: advanced models aimed at identifying fraudulent activities while enhancing our expanding array of financial risk solutions. Your expertise as a seasoned researcher will be essential, making you the authoritative figure in your domain. You will frequently engage in high-impact projects that necessitate a profound understanding of the field, critical analytical skills, and robust technical capabilities. Collaboration with various teams across the organization will be key as you investigate new fraud types, innovate product offerings, and conduct analyses to support our sales and marketing efforts.

Join Our Team as a Senior Applied Scientist!At Gridware, we are on a mission to revolutionize grid management through innovative technology. Based in San Francisco, we are pioneering a cutting-edge approach known as Active Grid Response (AGR). This initiative focuses on enhancing the reliability and safety of the electrical grid by monitoring its electrical, physical, and environmental parameters. Our advanced platform leverages high-precision sensors to identify potential issues early, facilitating proactive maintenance and minimizing outages. Backed by leading climate-tech and Silicon Valley investors, we are poised to make a significant impact in the energy sector. For more insights on our work, visit www.Gridware.io.Role Overview:We are looking for a talented Senior Applied Scientist with a strong background in machine learning and digital signal processing (DSP). In this role, you will be responsible for designing sophisticated models that operate on diverse time-series sensor data within resource-constrained environments. Your work will involve developing algorithms that optimize for accuracy while adhering to strict power and memory constraints, thereby advancing Gridware’s edge intelligence capabilities. This position requires a blend of applied research, model optimization, and close collaboration with hardware and firmware teams to implement low-level solutions.

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable, steerable representations of enterprise data.We establish trust through Crunch, a policy-driven health layer optimizing large tabular datasets for efficiency, reliability, and reversibility. Utilizing this foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures, delivering trustworthy answers and automation with integrated provenance and governance.Our MissionCurrent AI capabilities are hindered not only by model design but also by the inefficiencies of the data that supports it. At scale, each redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage groundbreaking research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructure: systems that continually enhance how information is represented and utilized by AI.Led by Prof. Andrea Montanari from Stanford, Granica’s Research group merges advances in information theory with learning efficiency in large-scale distributed systems. We collectively believe that the next significant leap in AI will originate from innovations in efficient systems, rather than merely larger models.Granica is at the forefront of developing a new category of structured AI models: foundational models designed to learn and reason from the relational, tabular, and structured data that drives the global economy. While many focus on unstructured text or media, we are venturing into the next frontier: systems capable of comprehending and reasoning over structured information.Your ContributionsCreate and prototype algorithms that form the core of structured AI, enhancing representation learning and efficient information modeling for enterprise and tabular data at petabyte scale.Develop adaptive learners merging statistical learning theory with systems optimization at scale, contributing to a new generation of foundational models for structured information.Design architectures that unify symbolic, relational, and neural components, enabling AI systems to reason directly over structured enterprise data.Construct cost models and optimization frameworks that enhance the efficiency of structured learning, both computationally and economically.

Join DigitalOcean as a Senior Solutions Architect II specializing in AI and Machine Learning. In this pivotal role, you will leverage your expertise to design and implement innovative solutions that drive our customers' success. You'll collaborate with cross-functional teams to ensure our clients harness the full potential of our cloud services, enabling them to scale and optimize their operations effectively.

About FaireFaire is a revolutionary online wholesale marketplace that champions the belief that the future of retail is local. Independent retailers worldwide generate more revenue collectively than giants like Walmart and Amazon, yet they often lack the resources to compete. At Faire, we leverage cutting-edge technology, data analytics, and machine learning to empower this vibrant community of entrepreneurs globally. Imagine your favorite local boutique — we facilitate their access to exceptional products from around the globe. By providing the right tools and insights, we aim to level the playing field, enabling small businesses everywhere to thrive against e-commerce giants.By nurturing the growth of independent businesses, Faire is making a significant economic impact in local communities, worldwide. We seek intelligent, resourceful, and passionate individuals to join us in driving the shop local movement. If you believe in the power of community, we invite you to become a part of ours.About this RoleAs a Senior Applied AI/ML Scientist within the Search group, you will play a pivotal role in shaping the technical vision and machine-learning strategy that drives one of our core growth areas: Search. You will enhance real-time Search and Recommendation systems that deliver next-generation shopping experiences.You'll be at the forefront of algorithm development, integrating large language models, natural language processing, query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized product suggestions for every user query.This is a unique opportunity to influence end-to-end personalization in a high-scale, multi-modal environment while collaborating closely with a talented team of scientists and engineers.

About Anthropic Anthropic builds AI systems with a focus on reliability, interpretability, and steerability. The team includes researchers, engineers, policy experts, and business leaders, all working together to ensure AI benefits both users and society. Role Overview The Commercial Solutions Architect, Applied AI, joins Anthropic’s Applied AI team as a Pre-Sales Architect. This role centers on demonstrating the value of Claude and helping customers integrate and deploy it within their technology stacks. The position combines technical expertise with customer engagement to design LLM solutions for complex business needs, always maintaining Anthropic’s standards for safety and reliability. As a Commercial Solutions Architect, expect to work closely with key accounts, building reusable solution blueprints, demos, and enablement materials that support the wider adoption of Claude across Anthropic’s commercial clients. Collaboration is central: work alongside Sales, Product, and Engineering teams to guide clients from early technical discovery through to deployment. Use your knowledge to help customers understand Claude’s capabilities, develop evaluation strategies, and design scalable architectures that unlock the full potential of Anthropic’s AI systems. Location San Francisco, CA or New York City, NY

SentiLink is at the forefront of transforming identity verification and risk management, enabling both institutions and individuals to conduct transactions with confidence. We are committed to revolutionizing the outdated and inefficient identity verification landscape in the United States, offering solutions that are ten times faster, more intelligent, and more precise.Our rapid growth reflects the significant traction we've garnered, with our real-time APIs successfully verifying hundreds of millions of identities, especially within the financial services sector, while swiftly expanding into other markets. SentiLink enjoys the backing of top-tier investors such as Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.We have received accolades from major publications including TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, and American Banker, and have consistently ranked on the Forbes Fintech 50 list since 2023. Notably, we made history by being the first company to implement the eCBSV and provided testimony before the United States House of Representatives regarding the future of identity verification.SentiLink promotes a flexible working environment, offering various work arrangements ranging from fully remote to in-office. As a digital-first organization, we emphasize strong collaboration across teams in the U.S. and India. Our offices are located in cities including Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., along with Gurugram (Delhi) and Bengaluru in India. If you are near any of these locations, we encourage regular in-office engagement. Some positions are designed to be hybrid or in-office. For instance, our engineering team in India primarily operates from our Gurugram office.

Company OverviewAt Echo Neurotechnologies, we are a pioneering startup in the Brain-Computer Interface (BCI) domain, committed to spearheading advancements through state-of-the-art hardware engineering and AI innovations. Our vision is to create transformative technologies that empower individuals living with disabilities, enhancing their autonomy and overall quality of life.Team CultureBecome part of a passionate and dedicated team where your expertise is valued. In our dynamic early-stage environment, you will have the chance to influence key decisions that lead to significant, long-term impacts. We prioritize continuous learning and development, encouraging cross-functional collaboration where your contributions play a crucial role in our success.Job SummaryWe are on the lookout for a skilled Applied AI Scientist to join our innovative team. The successful candidate will harness machine learning (ML) and artificial intelligence (AI) methodologies to analyze extensive datasets of time-series data and their accompanying metadata, crafting sophisticated encoding and decoding models to decode brain activity. This work will not only propel scientific advancements but also translate into impactful solutions for patients with physical disabilities.Key ResponsibilitiesDevelop models for brain data and metadata to derive insights from both existing and future datasets, establishing high-performance inference and translation pipelines.Design and implement cutting-edge transformers and other ML models to translate brain signals into control commands for digital devices.Stay abreast of the latest AI methodologies, rapidly evaluating their applicability and effectiveness through prototypical assessments with company datasets.Collaborate effectively within a small team to refine models, design the data-science platforms, and integrate ML models into our product applications.Ensure that all code, analysis pipelines, and results are versioned, well-documented, and highly interpretable for maximum reproducibility.Assist in creating documentation for our Quality Management System, specifically related to ML implementations that will be incorporated into medical products.

About UsAt Koah Labs, we are pioneering the advertising network that will drive the future of AI-native products. Our mission is to empower publishers in monetization while enabling advertisers to effectively reach their target audiences, all without sacrificing speed, user experience, or privacy.We are a passionate and close-knit team based in San Francisco, boasting a wealth of experience from industry leaders such as X, Apple, Meta, and various early-stage startups. With backing from top investors, we are rapidly expanding and gaining real traction on both the publisher and advertiser fronts.Joining Koah means becoming part of something transformative from the ground up. You will have the opportunity to ship code that influences not just our company but the broader ecosystem we are building. We prioritize speed, trust, and a deep commitment to our craft.Our Technology StackInfrastructure: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData Technologies: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application: Ruby on Rails, React, TypeScriptSDKs: Flutter, React Native, Android, iOSSample ProjectsDeveloping efficient algorithms for real-time bidding systems, leveraging current pricing literature.Creating and deploying regression models that predict end conversions based on demographic, audience, and semantic data.Utilizing privacy-preserving clustering techniques to categorize conversational data, enhancing advertiser outreach.Conducting comprehensive data analysis to uncover insights that can enhance our primary ad matching system, balancing both publisher and advertiser goals.

At Plaid, we envision a future where financial interactions are seamless and empowering. Our mission is to facilitate this transformation by developing innovative tools and experiences that empower thousands of developers to build their own financial products. With Plaid, millions of individuals can manage their finances effectively, leveraging our connections to a vast network of companies, including Venmo, SoFi, and numerous Fortune 500 firms, as well as major banks. Covering over 12,000 financial institutions across the US, Canada, UK, and Europe, Plaid has established itself as a leader in financial technology since its inception in 2013. Headquartered in San Francisco, we also have offices in New York, Washington D.C., London, and Amsterdam.Join our Network Enablement team, where our mission is to enhance Plaid’s network effects by building trust and sharing valuable insights with our data partners.We are responsible for creating cutting-edge solutions including Trust & Fraud Insights, Bank Intelligence, and foundational ML/data infrastructure. Our work encompasses real-time Protect model scoring, two-way APIs/webhooks, investigation tools, ML-driven retention metrics, and scalable batch processing.As a Senior Software Engineer in this role, you will spearhead the design and operation of the ML infrastructure and product services that underpin trust and intelligence throughout Plaid’s network. Your responsibilities will include feature engineering, offline training, batch scoring, online feature serving, and real-time inference, ensuring that model outputs effectively drive partner-facing fraud and trust products as well as bank intelligence features. You will also integrate inference into product logic, establish reproducible pipelines, and implement CI/CD for models while maintaining observability, compliance, and reproducibility as we expand our network capabilities. Collaborating closely with Product, ML/Data Platform, Fraud, Foundational Modeling, MLE, DS, and Privacy teams, you will deliver reliable, auditable ML solutions that positively impact our product KPIs.

About the CompanyLavendo is a pioneering publicly traded company leading the charge in the AI revolution. With an AI-centric cloud platform, we are transforming the artificial intelligence landscape. Our state-of-the-art infrastructure, including extensive GPU clusters and advanced cloud services, supports developers in harnessing the explosive growth of the global AI industry, catering to Fortune 1000 firms, innovative startups, and AI researchers alike.Company type: Publicly tradedIndustry: AI/ML, Cloud Computing, Infrastructure-as-CodeCandidate Location: Remote U.S.Our mission is to democratize AI infrastructure access and empower organizations to innovate, optimize, and deploy AI solutions seamlessly at any scale. By simplifying the complexities of AI development, we provide a comprehensive full-stack AI platform that marries robust hardware with easy-to-use tools and services.The OpportunityWe are on the lookout for a Senior AI/ML Specialist Solutions Architect to become a crucial part of our client's dynamic team. This role presents an exciting opportunity to design and implement scalable AI solutions tailored for AI-centric clients, leveraging cutting-edge technologies and contributing to one of the most powerful commercially available supercomputers.What You'll DoArchitect and enhance distributed training and inference systems for large-scale AI models.Design and deliver customer-centric solutions that optimize performance and drive business value.Lead the migration of ML pipelines from Proof of Concept to scalable production environments.Foster long-term relationships with clients, ensuring satisfaction and alignment with their strategic objectives.Produce whitepapers, conduct technical presentations, and facilitate webinars to disseminate insights and best practices.Provide technical guidance and mentorship to teams regarding AI infrastructure and deployment strategies.Collaborate with engineering and product teams to prioritize customer feedback and shape product roadmaps.

We are seeking a talented and experienced Manager of Applied AI Solutions Architecture - Partnerships to join our innovative team at Anthropic. In this role, you will lead the design and implementation of AI solutions that enhance our collaborative partnerships. Your expertise will drive impactful AI applications while ensuring seamless integration with partner technologies.As a key player in our organization, you will manage a team of skilled architects and engineers, fostering an environment of creativity and collaboration. You will also engage with stakeholders to understand their needs and translate them into effective AI-driven solutions.

OpenGov is looking for a Senior Analyst, Applied AI (G&A Intelligence) to join the Applied AI/Innovation team. This position centers on supporting General and Administrative (G&A) functions, especially HR, Talent Acquisition, and Enablement, by applying AI and workflow automation to real business challenges. Role overview This role focuses on identifying, prioritizing, and developing AI-powered workflows, tools, and copilots. The goal is to reduce manual effort, improve decision-making, and free up time for work that requires human judgment. The Senior Analyst will work closely with partner teams to understand their processes and find opportunities for AI-driven improvements. Day-to-day, the work involves managing the full lifecycle from problem identification to solution delivery, often collaborating with AI and data engineers as needed. What you will do Analyze complex, often unstructured data and manual workflows in G&A teams Design and implement AI-enhanced solutions using tools like Claude, ChatGPT, and no-code or low-code automation platforms Prioritize projects that have the highest impact on efficiency and decision quality Operate within the Applied AI team’s technical and governance framework Handle sensitive HR data with a high standard of confidentiality and compliance Requirements Strong analytical and problem-solving skills Process-oriented approach to improving workflows Familiarity with modern AI tools and automation platforms No requirement for production-level coding or deep HR technology experience Sound judgment and understanding of data confidentiality and HR compliance This position offers the chance to help shape the future of government operations by integrating applied AI into core business functions. Learn more about OpenGov’s mission and vision at OpenGov.com.

Crunchyroll serves a global community of anime fans, connecting over 100 million people across more than 200 countries and territories. The platform offers streaming, theatrical releases, games, merchandise, and events, all centered around anime stories and characters. Role overview The Senior Applied Scientist in Recommendation and Personalization leads scientific development for Crunchyroll’s recommendation, ranking, and decisioning systems. The focus is to help fans discover and engage with anime series, movies, manga, merchandise, and games. This position collaborates with Machine Learning Engineers, Product Managers, Engineering, Marketing, and Content teams to enhance Crunchyroll’s personalized experiences. What you will do Lead research and applied science projects in personalization, covering problem definition, data exploration, model development, evaluation, experimentation, and iteration. Define what outstanding personalization looks like for Crunchyroll across app and web interfaces, email campaigns, and integrated systems for video, ecommerce, and manga. Demonstrate the impact of personalization efforts using evidence and metrics. Partner with engineering teams to bring scientific solutions into production. Reporting structure This role reports to the Director of Data Science and Machine Learning within the Center for Data and Insights. Location and schedule This position is based in Los Angeles, California, or San Francisco, CA. Crunchyroll follows a hybrid schedule, with in-office attendance required three days per week: Tuesday, Wednesday, and Thursday.