Senior Applied Scientist in Recommendation and Personalization

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.

Applied Physics is on the lookout for a driven and experienced Seismologist to enhance our gravitational ranging team. In this role, you will spearhead original research in the field of seismology, focusing on critical topics such as induced seismicity and reservoir geomechanics. Your work will contribute to pioneering projects related to geothermal energy, geological carbon storage, waste fluid disposal, and unconventional oil and gas extraction.

Genius Sports is at the forefront of transforming the sports industry with cutting-edge technology and unparalleled live data, crafting experiences for fans that are immersive, interactive, and uniquely tailored to their preferences. Discover more about us at geniussports.com.About the RoleWe are seeking a Senior Applied AI Engineer to innovate and develop production-grade, multimodal systems (audio/video/text) that translate broadcast and radio feeds into structured, real-time signals and event candidates. Your role will involve the implementation and evolution of “agentic” components, such as sensor agents and decision logic, that drive functionalities in products like Audio Intelligence and semi-automated broadcast-to-data tagging.Your technical acumen and pragmatic problem-solving approach will be essential as you collaborate within a team that values Agile methodologies and continuous improvement. A data-driven mindset and comfort with experimentation and validation will be crucial to your success.Key ResponsibilitiesDevelop and sustain multimodal agents:Audio sensor agents (for acoustic events, sentiment analysis, and alignment)Visual sensor agents (for scorebug/overlay reading and applicable visual cues)Specialist and decision logic components (for structured event outputs, confidence, and traceability)Implement streaming-optimized pipelines, including chunking, normalization, time synchronization, asynchronous execution, and resilient retry/backoff mechanisms for model/tool interactions.Advance prompt-as-code practices with strict JSON contracts, schema validation, and deterministic post-processing to enhance system reliability.Enhance system resilience under challenging inputs through:Designing fallback strategies (degraded modes)Integrating guardrails and confidence thresholdsImplementing metrics for latency, cost, and accuracyCollaborate with product, platform, and domain leaders to translate sports rules and edge cases into validation logic, ensuring seamless integration with downstream consumers (tagging, live feeds, analytics).Contribute to the evaluation process by adding test cases, categorizing failure modes, and establishing regression checks for prompts and model routing.Stay informed about emerging generative AI technologies and tools.

Applied Physics is actively seeking a talented Experimental Physicist to become a vital part of our innovative team. This position is ideal for individuals with a strong background in open quantum system dynamics, quantum information, and quantum emulation utilizing superconducting circuits. In this role, you will be at the forefront of designing, simulating, fabricating, characterizing, and controlling high-temperature superconducting materials aimed at developing groundbreaking applications.

About the RoleContentful is seeking a highly skilled Senior Personalization Solution Architect to join our Professional Services team. This pivotal role requires extensive expertise in personalization and experimentation, aimed at professionals who have successfully built, operated, and scaled personalization initiatives in production environments. You will also need to possess the technical prowess necessary to implement these programs within modern, composable architectures.This position goes beyond the typical generalist Solution Architect role, as it demands a strong opinion and real-world experience in audience strategy, decisioning, experimentation, and measurement, coupled with the capability to design and execute high-quality technical implementations utilizing Contentful Personalization.You will collaborate directly with customer engineering, product, and marketing teams to craft and implement sophisticated personalization and experimentation solutions. In addition, you will act as a customer-facing extension of Contentful’s Product and Engineering teams, your contributions will mitigate implementation risks, expedite time to value, and enhance feedback loops into product development—particularly for intricate personalization use cases.

Join Q-CTRL as a Senior Research Scientist specializing in Applications & Algorithms, where you will play a pivotal role in advancing our quantum control technologies. You will collaborate with a talented team to develop innovative algorithms that enhance the application of quantum systems in real-world scenarios.

About CrunchyrollFounded by enthusiasts, Crunchyroll passionately delivers the vibrant world of anime to a dedicated global audience. With over 100 million anime and manga fans spanning 200+ countries, we connect them to the stories and characters they adore. Whether through online platforms, live events, streaming video, merchandise, or gaming, our mission is powered by the anime content that brings us all together.Join our innovative team and contribute to shaping the future of anime!About the RoleAs a Senior Data Scientist specializing in Fraud Detection, you will report directly to the Director of Machine Learning and Data Science. We are open to candidates located in Los Angeles, CA, or San Francisco, CA.Your primary responsibility will be to leverage User Behavior Analytics and Modeling to enhance our efforts in detecting and preventing account sharing. You will utilize platform-collected data such as login patterns, device usage, IP addresses, and viewing behaviors. This role is crucial in deriving insights from large datasets to inform machine learning models that identify anomalous sharing activities, ultimately supporting our strategies for revenue growth and subscriber retention, inspired by industry leaders like Netflix and Disney+.Core ResponsibilitiesPerform exploratory data analysis on user session logs to establish benchmarks for normal and anomalous behaviors.Develop predictive models utilizing statistical and machine learning techniques to forecast and categorize user sharing patterns.Design and execute experiments to validate model accuracy and operational effectiveness.Collaborate with cross-functional teams to define data requirements and establish frameworks for ongoing behavioral monitoring.Create visualizations and reports to effectively communicate insights on user engagement and potential sharing risks to stakeholders.Ensure compliance with data privacy regulations while optimizing data pipelines for enhanced operational efficiency.About YouWe are eager to meet candidates who possess the following qualifications:Experience: 5+ years in data science roles focusing on behavioral analytics, ideally within tech or streaming sectors, with a proven track record in user behavior modeling, anomaly detection, and fraud prevention.Technical Skills: Proficiency in Python for data analysis and modeling, SQL for database querying, and experience with visualization tools such as Tableau or Matplotlib.

We are seeking a motivated and detail-oriented Research Scientist I to join our dynamic team in Los Angeles. In this role, you will have the opportunity to contribute to innovative research projects and collaborate with experienced scientists in a fast-paced environment. The ideal candidate will possess a strong foundation in scientific principles and a passion for advancing knowledge through research.

At VideoAmp, we are dedicated to crafting an exceptional workplace where employees can express their authentic selves every day. We understand that achieving greatness requires a unique team of individuals who are driven, hardworking, and enjoy the journey.Our mission is to revolutionize advertising by enhancing value for our clients. We empower businesses to focus on tangible outcomes from their media investments, moving beyond conventional media metrics. VideoAmp serves as the software and data solutions company that facilitates the integration of linear TV and digital video advertising.Role & ResponsibilitiesThis position offers a hybrid work environment near one of our hubs: Los Angeles, New York, Boulder, Chicago, Dallas, or St. Petersburg.We are in search of a proficient Data Scientist / Senior Data Scientist to become a vital member of our Measurement & Outcomes team. You will report to the Data Science organization and collaborate closely with our Outcomes Tech Lead, serving as a key technical partner and essential contributor to the development and expansion of our methodology.In this role, you will:Design, develop, and deploy advanced statistical models to optimize advertising campaign measurement and enhance planning and targeting precision.Create and refine methodologies for core outcome products, particularly in attribution and lift models.Modify existing measurement models to address specific client scenarios.Maintain the integrity and accuracy of data through thorough testing and validation of models.Collaborate with engineering and MLOps teams to integrate models into production systems, ensuring scalability and dependability.Effectively communicate complex analytical concepts and findings to stakeholders in a clear and concise manner.

Join our innovative team at dev2 as a Postdoctoral Scientist and contribute to groundbreaking research initiatives. In this role, you will engage in advanced scientific investigations, collaborate with a team of experienced researchers, and enhance your professional development in an intellectually stimulating environment.

Join Amgen, a leading biotechnology company, as a Senior Data Scientist specializing in Manufacturing and Clinical Supply. In this pivotal role, you will leverage advanced data analytics to enhance manufacturing processes and optimize clinical supply chains. Your expertise will contribute to innovative solutions that drive efficiency and improve patient outcomes.

At The Perfect Workout, we seek individuals who aspire to achieve personal and professional growth rather than just filling a position. If you're looking for a mere gym job, more hours, or a comfortable routine, this opportunity may not be for you.However, if you are eager to become a coach capable of making a transformative impact in others' lives—and your own—then this could be the perfect fit for you.What Sets Us ApartWhile many companies highlight perks, we focus on something more profound and valuable: growth, authenticity, and mastery. We provide comprehensive training, fund your certification, and expect you to elevate your skills. Not everyone will rise to the occasion, but those who do will join a team renowned for excellence, honesty, and genuine care.Ideal CandidatesYou'll thrive with us if you:Form authentic connections with people effortlesslySeek constructive feedback to enhance your skillsApproach your work with dedication, effort, and consistencyWelcome coaching and challenges as opportunities for growthTake ownership of your responsibilities and beyondIf this excites you, that's great! If it intimidates you just a bit, even better—those often become our best trainers.Your ResponsibilitiesWe will train you—no prior experience required—to:Deliver precise, evidence-based strength trainingCoach members with clarity and confidenceBuild strong relationships that foster retention and referralsLead Introductory Workouts that inspire commitmentMaintain excellent attendance and help members achieve meaningful resultsContinuously improve—Kaizen is part of our cultureWhat We OfferPaid in-house Personal Trainer certificationOpportunities for career advancement and recognition based on performance$16.90–$37.48 per hourPart-time and Full-time roles availableSupplemental medical benefits for eligible employees401(k) plan after one year of servicePaid time off opportunitiesA supportive team environment—no lone wolves here

SummaryBased in the vibrant city of Los Angeles, GrayMatter Robotics is a forward-thinking AI robotics startup focused on transforming the manufacturing sector. Our mission is to enhance the capabilities of shop floor workers through innovative robots designed to tackle repetitive and ergonomically challenging tasks, with a special emphasis on automated surface finishing. Utilizing our proprietary GMR-AI™ software, we integrate advanced industrial robots, sensors, and tools to deliver tailored turnkey solutions for our clients through a Robot-as-a-Service (RaaS) model.As a member of the Special Projects: AI team at GrayMatter Robotics, you will collaborate with a dynamic, cross-functional group dedicated to designing, developing, and implementing AI capabilities across our products and client projects. This team operates as a horizontal AI function, engaging in simulation, data analytics, perception, inspection, machine learning control, process optimization, and system validation to foster robust autonomy for our robots and manufacturing facilities in high-mix environments. We manage the complete development lifecycle from problem identification and data strategy to model creation, simulation, deployment, and ongoing performance assessment. Close collaboration with various teams—including robotics software, solutions engineering, applications, process engineering, hardware, and deployment—is essential to our success. Our goal is to ensure that AI systems are scalable across processes, customers, and sites while delivering reliable performance on real robots in actual factories, not just in controlled settings.This position values a strong technical foundation coupled with sound research judgment, but emphasizes system ownership, execution, and tangible business impact. We encourage publishing and contributing to external technical forums when such endeavors arise naturally from deployed systems that advance both GrayMatter’s offerings and the wider robotics community. Nevertheless, the primary measures of success will be the quality of delivery, robustness, and observable outcomes for customers.

At StubHub, we're on a transformative journey to elevate the live event experience on a global scale. Whether it’s a fan’s first concert or a seasoned attendee’s hundredth game, we’re dedicated to ensuring a seamless journey from ticket discovery to event entry. Our commitment extends to our sellers as well, providing a platform that enables everyone—from individual fans to large-scale promoters—to safely and conveniently offer tickets to millions of fans worldwide.The RoleWe are in search of a Senior Data Scientist who will spearhead the analytics that drive an exceptional ticketing experience for fans, focusing on the operational processes from ticket purchase to event access. In this pivotal role, you will develop and oversee predictive and decision-making models that proactively identify and resolve fulfillment challenges, enhance inventory validation, and refine customer service protocols—striking a balance between fan enjoyment and operational efficiency.Your work will involve tackling issues where accuracy is critical: anticipating problems before they affect fans, pinpointing large-scale pain points, and converting potential failure moments into opportunities for building trust and loyalty. This will include the creation and deployment of models that utilize both structured and unstructured data, including LLM-powered pipelines aimed at extracting actionable insights from customer interactions and support communications.Collaboration will be key as you work closely with product managers, analytics engineers, operations leaders, and fellow data scientists to translate complex business challenges into robust, production-ready data solutions, ultimately driving decisions that significantly enhance the fan experience.

Join Equinox as a Personal Training Manager in the vibrant Woodland Hills area of Los Angeles. In this pivotal role, you'll lead a team of dedicated trainers, fostering a culture of excellence and client satisfaction. Your responsibilities will include developing training programs, coaching staff, and ensuring that our members receive the highest quality of fitness guidance. We're looking for a dynamic leader who is passionate about fitness and dedicated to helping others achieve their goals.

Are you a passionate and driven personal trainer eager to transform lives through fitness? At Svetness, we are on the lookout for outstanding trainers to join our vibrant team, offering customized fitness solutions in the comfort of our clients' homes. Become part of a supportive community that values your expertise, offers flexible scheduling, and fosters your professional development.Join Our Elite Team of In-Home Personal Trainers - Empower Lives through Fitness!

Join Hadrian — Pioneering the Future of ManufacturingAt Hadrian, we're at the forefront of revolutionizing manufacturing for the aerospace and defense sectors. Our autonomous factories empower companies to produce rockets, satellites, jets, and ships at speeds up to 10 times faster and costs slashed by half. By integrating state-of-the-art software, robotics, and comprehensive manufacturing processes, we are redefining how critical parts are made in America.With a recent $260 million Series C funding round, we're expanding our vision. Our new state-of-the-art facility in Mesa, Arizona, spans 270,000 square feet and will create 350 immediate job opportunities. As we establish our headquarters to support thousands of future roles, we're also launching Hadrian Maritime for naval production and introducing a Factory-as-a-Service model for delivering complete systems.Our partnerships range from startups to Tier 1 and Tier 2 suppliers, and major defense contractors across space, shipbuilding, and aviation. We are dedicated to scaling production, minimizing costs, and accelerating deliveries for mission-critical programs. Backed by prestigious investors like Lux Capital, Founders Fund, and Andreessen Horowitz, our rapidly growing team is committed to reindustrializing American manufacturing for the 21st century and beyond!Your RoleAs the Operations Research Scientist at Hadrian, you will spearhead initiatives to enhance manufacturing efficiency through advanced optimization techniques. You will confront intricate challenges in scheduling, capacity planning, and resource allocation within aerospace manufacturing. Utilizing cutting-edge solvers and potentially Reinforcement Learning methodologies, you will develop systems that optimize everything from production queues to tool utilization. Your innovative algorithms will directly influence delivery times, cost reductions, and the scalability of our manufacturing operations.Key ResponsibilitiesDesign and deploy advanced production scheduling algorithms utilizing CP-SAT and MIP solvers.Construct capacity planning models that effectively balance demand with resource limitations.Develop queue management systems aimed at optimizing throughput and minimizing wait times.Create demand forecasting models employing modern time series methodologies.Optimize inventory levels for raw materials and work-in-progress items.Design innovative tool allocation algorithms that consider utilization rates and maintenance schedules.Implement robust optimization strategies to address uncertain demand and processing durations.Collaborate with cross-functional teams to ensure successful project implementation and continuous improvement.

Whatnot is seeking a Data Scientist in Finance to support financial operations through data analysis and modeling. This position is based in Los Angeles, CA. Role overview This role centers on analyzing financial data to inform business decisions. The Data Scientist will collaborate with teams across the company to identify trends, develop predictive models, and deliver insights that shape financial strategy. Key responsibilities Analyze financial and business data to identify trends and patterns Build and refine predictive models to support financial planning Work with cross-functional teams to translate findings into actionable recommendations Contribute to efforts that improve financial performance and business intelligence Requirements Strong analytical skills with experience in data science or financial analysis Ability to work collaboratively with teams from different disciplines Experience building predictive models and delivering insights

Our MissionSince its inception in 2012, Tinder® has transformed the dating landscape, achieving an astonishing milestone of over one billion matches within just two years. This rapid evolution underscores our commitment to fulfilling a fundamental human desire: authentic connection. With more than 630 million downloads and over 97 billion matches to date, Tinder serves around 50 million active users each month across 190 countries and 45+ languages, establishing a remarkable global presence. In 2024, Tinder proudly secured four Effie Awards for its inaugural global brand campaign, “It Starts with a Swipe”™.Our ValuesOne Team, One DreamWe collaborate seamlessly, building Tinder for our community. Our success is rooted in cross-functional teamwork, innovative thinking, and a shared vision to achieve our mission.Own ItWe embrace accountability and strive to create a positive impact in every facet of our operations through ownership, innovation, and a dedication to excellence.Never Stop LearningWe foster an environment where risk-taking is encouraged. We value feedback, celebrate achievements, and learn from failures to propel continuous improvement.Spark SolutionsAs problem solvers, we focus on proactive solutions, navigating challenges with agility to achieve our objectives without being hindered by past issues.Embrace Our DifferencesWe intentionally cultivate a diverse workplace that mirrors our members' rich backgrounds. By leveraging varied perspectives, we enhance the experiences we offer to both our users and our team.The RoleWe are seeking a Senior Product Manager, Recommendations Cross-Surface Personalization to spearhead the connection of Tinder’s recommendation system with other product surfaces and teams.The Recommendations system is pivotal in guiding what members see, when they see it, and the rationale behind it. Achieving true personalization necessitates collaboration not only within Recommendations but throughout the entire product ecosystem. In this role, you will facilitate the utilization of Recommendations data and insights across different teams. You'll also ensure the Recommendations team can efficiently manage and prioritize requests from various pods, establishing processes that enhance productivity and deliver effective solutions.Your collaboration with cross-pillar teams and the Data Science, Machine Learning, and Recommendations Engineering departments will ensure that Recommendations data, models, and insights are consistently and effectively utilized across the platform.

Our MissionSince its inception in 2012, Tinder® has transformed the way individuals connect, achieving a remarkable journey from a mere 1 match to over one billion matches in just two years. This extraordinary growth underscores our commitment to fulfilling a fundamental human desire: genuine connection. Today, our app boasts over 630 million downloads, resulting in more than 97 billion matches and currently serving around 50 million users monthly across 190 countries and 45+ languages - a scale that is unparalleled in the industry. In 2024, Tinder proudly received four Effie Awards for its inaugural global brand campaign, “It Starts with a Swipe”™.Our ValuesOne Team, One DreamWe collaborate closely, shaping Tinder for our users. Success comes from our ability to work across functions, teams, and time zones, embracing creativity to achieve our vision and mission.Own ItWe take responsibility and aim to positively influence every aspect of our business through ownership, innovation, and a commitment to excellence.Never Stop LearningWe foster a culture where taking risks is encouraged. We actively seek feedback, celebrate achievements, and learn from our failures to ensure continuous improvement.Spark SolutionsAs problem solvers, we prioritize forward-thinking strategies when faced with challenges. We focus on agility and overcoming obstacles to reach our objectives.Embrace Our DifferencesWe are dedicated to creating a workplace that mirrors the diversity of our users. By valuing varied perspectives and approaches, we enhance experiences for both our members and our team.The TeamThe Growth Data Science team is in search of inquisitive professionals eager to leverage data-driven insights at Tinder. We partner strategically with the Product team to utilize our extensive datasets for experiments, metric assessment, automated reporting, and generating exploratory insights that are vital for our business strategies. These insights play a crucial role in enhancing both our operational performance and the user experience.This position allows for collaboration with either the User Growth or Growth Platform teams within the Data Science Department. The User Growth team is dedicated to validating growth hypotheses and optimizing core user experiences, while the Growth Platform team focuses on refining and scaling our messaging strategies.