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Experience Level
Mid to Senior
Qualifications
Key Responsibilities:Design and develop a large language model (LLM) with approximately 1 billion parameters, focusing on innovative architectures for long-context memory and in-context retrieval and generation. Establish a synthetic data pipeline and create real data pipelines for LLM training. Devise effective benchmarking methods, such as LLM-As-Judge. Work closely with hardware engineers, software developers, and product teams to integrate research prototypes into production systems. Publish significant research outcomes in top-tier AI conferences (e.g., ICLR, NeurIPS). Qualifications:Minimum:Master's or Ph. D. in AI, Computer Science, or a related field, specializing in NLP/AI. Extensive background in generative AI with practical experience in developing LLMs. Solid expertise in training and optimizing large language models for cloud and edge inference. Proficient programming skills in Python. Preferred:Deep understanding of LLM concepts such as context, memory, and retrieval-augmented generation (RAG), with relevant experience. Proven track record in building LLM training datasets and benchmarks, supported by published work. Experience with LLMs around 1 billion parameters, including knowledge of model trade-offs. Contributions to open-source AI projects. Exceptional collaboration and communication skills.
About the job
Join the OPPO Research Center as a forward-thinking NLP Research Scientist, where you will play a pivotal role in shaping our next-generation AI hardware platforms, including innovative AI Glasses and Earphones. Your passion for generative AI research will drive the design, training, and deployment of sophisticated multimodal intelligence models that effortlessly merge language, vision, and action. Collaborating within our dynamic team, you will co-create algorithms and hardware, translate groundbreaking research into tangible products, and contribute your findings to prestigious AI conferences.
About OPPO Research Center
At OPPO Research Center, we are dedicated to exploring the frontiers of technology through innovative research. Our focus on next-generation AI hardware and applications positions us as a leader in the industry, where we aim to transform everyday experiences with cutting-edge technology.
Full-time|$121.3K/yr - $159.5K/yr|On-site|Palo Alto, CA
About Arc Institute The Arc Institute is an innovative scientific organization dedicated to curiosity-driven fundamental research and technology development aimed at understanding and treating complex human diseases. Based in Palo Alto, California, we partner with prestigious institutions such as Stanford University, UCSF, and UC Berkeley to push the boundar…
Join mindrobotics as a Research Scientist or Engineer and play a pivotal role in establishing the core of general-purpose robotics. We seek individuals from diverse backgrounds in robotics, machine learning, or large-scale generative models, driven by the ambition to translate theoretical research into practical systems. If you have experience with training foundation models, possess a deep understanding of Vision-Language Models (VLMs) and Vision-Language Applications (VLAs), and are eager to bring these concepts to life through real-world hardware, this position is ideal for you. This role encompasses the entire development process, from creating innovative methodologies to scaling training systems, and engaging directly with robots to identify key operational insights. We value team members who demonstrate ownership, seamlessly navigate between research and engineering, and are passionate about seeing their contributions manifest as tangible robotic behaviors.
Full-time|$170K/yr - $170K/yr|Hybrid|Palo Alto, California, United States
Ascendis Pharma is a vibrant and rapidly expanding global biopharmaceutical company with a presence in Denmark, Europe, and the United States. We are focused on advancing innovative programs in Endocrinology, Rare Disease, and Oncology.At Ascendis, we are proud of our commitment to exceptional scientific research, visionary leadership, and a dedicated team of passionate professionals.Guided by our core values of Patients, Science, and Passion, we leverage our proprietary TransCon® drug development platform to achieve our mission of creating new and potentially best-in-class therapies that address critical unmet medical needs.Our culture promotes an environment where talented, flexible, and highly resourceful professionals can truly leave their mark. We provide a dynamic workplace that encourages employees to grow and enhance their skills.As a Senior Clinical Scientist, you will play a pivotal role in the design, oversight, and data analysis of the company’s late-phase clinical trials focused on therapies involving growth hormone, parathyroid hormone, and/or C-type natriuretic peptide. This position is integral to our Clinical Development team and is ideally based in our Palo Alto, CA office; however, we may consider a remote arrangement for exceptional candidates.
About UsAt Hippocratic AI, we are at the forefront of generative AI in the healthcare sector. Our innovative platform excels in facilitating safe, autonomous clinical conversations with patients, utilizing our proprietary LLMs within the Polaris constellation, achieving an unparalleled accuracy rate of over 99.9%.Why You Should Join UsLead the Revolution in Healthcare AI. We are developing the world’s first healthcare-specific, safety-centric LLM, aimed at significantly enhancing patient outcomes worldwide. This is an opportunity to be part of a groundbreaking initiative.Collaborate with Visionaries. Co-founded by CEO Munjal Shah and a team of esteemed professionals including physicians, hospital executives, AI innovators, and researchers from prestigious institutions like Johns Hopkins and Stanford, you will be working alongside the best minds shaping the future of healthcare.Join Our Well-Backed Venture. We recently secured a $126M Series C funding round, elevating our valuation to $3.5B with total funding reaching $404M, supported by top-tier investors such as Avenir Growth and a16z.Be Part of a Transformative Team. Work with experts dedicated to advancing healthcare, improving care quality, and pioneering technologies that make a real difference.Location RequirementWe believe that collaboration fosters innovation. This role requires you to be present at our Palo Alto office five days a week to cultivate a strong team culture.About the RoleAs a Senior Applied Scientist, you will oversee the RL-based post-training pipeline to enhance our models' clinical reasoning, safety, and alignment in healthcare applications. Your contributions will directly impact millions of patients across various clinical contexts.Your ResponsibilitiesDesign and refine RL-based post-training strategies including RLHF, RLVR, and DPO.Develop and assess reward models, verifiers, and LLM-as-judge systems.Create conversational AI environments and simulations for healthcare RL training utilizing synthetic data.
At Rhoda AI, we are pioneering the development of a comprehensive platform for the next generation of humanoid robots. Our ambition encompasses everything from high-performance, software-defined hardware to the foundational models and video world models that govern their operations. Our robots are engineered as versatile generalists, adept at navigating intricate, real-world environments and addressing scenarios that are not encountered during training. We operate at the confluence of large-scale learning, robotics, and systems, with a research team that includes esteemed researchers from Stanford, Berkeley, Harvard, and other renowned institutions. Rather than merely enhancing a feature, we are constructing an entirely new computing platform dedicated to physical tasks. With over $400M raised, we are aggressively investing in research and development, hardware innovation, and scaling up manufacturing to realize this vision.Key ResponsibilitiesLead research initiatives focused on foundational models and world models for robotics, including representation learning, dynamics/prediction, planning, and control.Define research challenges and formulate hypotheses rooted in real-world robotic autonomy requirements.Design and execute rigorous experiments at scale, encompassing ablations, benchmarking, and evaluation methodologies.Develop and assess model architectures aimed at enhancing long-horizon predictions, rollout quality, and overall robotic task performance.Investigate and improve pre-training and post-training processes, including fine-tuning, alignment, and evaluation of large multimodal models.Collaborate closely with Research Engineers to translate innovative ideas into scalable training pipelines and dependable systems.Effectively communicate research findings through internal documentation, presentations, and reviews.Publish and present research at prestigious venues.Required QualificationsPh.D. in a relevant discipline such as Machine Learning, Robotics, Computer Science, Electrical Engineering, Applied Mathematics, or Computer Vision.Demonstrated strong publication record in high-quality research (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR).In-depth knowledge of current machine learning techniques, particularly in areas such as:Deep learning and representation learning.Sequence modeling and transformers.Generative modeling (e.g., diffusion, autoregressive, latent-variable models).
About MistralAt Mistral, we are dedicated to making artificial intelligence accessible to all, creating cutting-edge solutions that empower individuals and businesses alike. Our innovative models are developed collaboratively by engineers across the globe, fostering an inclusive and open environment.Our passionate team thrives on creativity and collaboration, believing in the transformative power of AI to reshape society. With our diverse talent spanning Europe, the USA, and Asia, we embrace a culture of low-ego teamwork and competitive spirit.At Mistral, we focus on developing advanced AI models for both enterprises and consumers, aiming to revolutionize business operations and enhance everyday life through open-source technology that everyone can leverage.Join Mistral and contribute to a pioneering organization at the forefront of AI innovation.Key Responsibilities* Innovate and develop advanced methodologies to elevate the capabilities of large language models.* Explore diverse use cases and modalities, including reasoning, code generation, and multimodal applications (text, image, speech).* Create robust tools and infrastructure to facilitate large-scale training, evaluation, and analysis of AI models.* Collaborate with interdisciplinary teams of scientists, engineers, and product developers to deliver impactful AI solutions.Qualifications* Proficient software engineer with expertise in at least one programming language (Python, Rust, Go, Java).* Practical experience with AI frameworks (e.g., PyTorch, JAX) and distributed systems (e.g., Ray, Kubernetes).* Strong engineering skills, capable of architecting complex software for production environments.* Self-motivated, autonomous, and a collaborative team player.Preferred Qualifications* Hands-on experience in training large transformer models in distributed settings.* Familiarity with the complete MLOps workflow, including fine-tuning, evaluation, and deployment.
About UsHippocratic AI is at the forefront of generative AI in the healthcare sector, pioneering a system capable of conducting safe and autonomous clinical conversations with patients. Our proprietary LLMs, part of the Polaris constellation, boast an impressive accuracy rate exceeding 99.9%.Why Join Our TeamRevolutionize healthcare with AI prioritizing safety. We’re creating the world’s first healthcare-exclusive, safety-oriented LLM — a groundbreaking platform aimed at transforming patient outcomes globally.Collaborate with visionaries shaping the future. Co-founded by CEO Munjal Shah alongside a team of healthcare professionals, AI innovators, and researchers from prestigious institutions, including El Camino Health, Johns Hopkins, and Stanford.Supported by top healthcare and AI investors. Our recent $126M Series C funding round, led by Avenir Growth, has propelled our valuation to $3.5B, totaling $404M in funding from notable investors like CapitalG and a16z.Build innovative solutions with industry leaders. Work alongside experts dedicated to enhancing healthcare, advancing scientific discoveries, and developing transformative technologies that ensure our platform is powerful and trustworthy.Location RequirementTo foster collaboration and a robust team culture, this position requires presence in our Palo Alto office five days a week, unless stated otherwise.
About VoltaiVoltai is at the forefront of developing advanced world models and intelligent agents designed to learn, evaluate, plan, experiment, and interact with the physical environment. Our initial focus lies in understanding and innovating hardware, specifically in electronics systems and semiconductors, where artificial intelligence can surpass human cognitive capabilities.About Our TeamOur team is backed by prominent investors from Silicon Valley, Stanford University, and high-profile leaders from companies like Google, AMD, Broadcom, and Marvell. We comprise former Stanford faculty, researchers from SAIL, medalists from international Olympiads, and executives from leading tech firms, including Synopsys and GlobalFoundries, alongside notable figures from the U.S. government.Key ResponsibilitiesDevelop and optimize MPI+CUDA PDE solvers for electrostatics, charge transport, and electromagnetic field challenges on intricate 3D IC geometries utilizing multi-node GPU clusters.Enhance and extend AMG preconditioners, Krylov solvers, and mesh pipelines, ensuring performance and correctness at scale.Construct and train neural operators (FNO, DeepONet, GNO, and variants) as high-fidelity surrogates for PDE-based field solvers.Design simulation pipelines that yield training data for neural operator models, addressing sampling strategies, mesh management, and physical consistency checks.Conduct thorough validations, including analytical solutions, published benchmarks, and cross-validation between field solvers and learned surrogates.QualificationsPhD in Computational Physics, Applied Mathematics, Computational Engineering, or a closely related discipline.Extensive knowledge of numerical PDE methods: FEM, FVM, or BEM, including weak formulations, quadrature, convergence, and error analysis.Proficient in C++ and CUDA, with a focus on writing and optimizing kernels, memory hierarchy management, and multi-GPU programming.Experience with multi-node HPC: MPI, domain decomposition, collective communication, and scaling strategies.Deep understanding of sparse linear algebra, including Krylov methods, algebraic multigrid, and preconditioning techniques.Hands-on experience with neural operators (FNO, DeepONet, or similar), encompassing training, architecture design, and evaluation on PDE datasets.Solid grasp of AI applications in scientific research.
Join our dynamic AI R&D team as an AI Scientist focused on Machine Learning. In this pivotal role, you will lead the development and implementation of advanced deep learning models to address real-world temporal modeling challenges in the manufacturing sector. We are in search of a candidate with extensive practical R&D experience, firmly rooted in robust theoretical principles and possessing deep expertise across various AI disciplines. The ideal candidate will exhibit a profound understanding of cutting-edge machine learning algorithms and techniques, alongside a proven record of contributions to top-tier conferences such as NeurIPS, ICML, ICLR, KDD, CVPR, or ICCV. A solid foundation in computer science and engineering is essential. Familiarity with collaborating alongside software engineering teams to scale and commercialize ML solutions will be highly regarded. This high-impact role merges foundational research, system-level design, and hands-on implementation, allowing you to work closely with cross-functional teams to create innovative solutions that drive strategic decisions and deliver significant business value.
Full-time|$121.3K/yr - $159.5K/yr|On-site|Palo Alto, CA
About Arc Institute The Arc Institute is a pioneering scientific organization dedicated to curiosity-driven research and technological advancements aimed at understanding and treating complex human diseases. Based in Palo Alto, California, Arc operates as an independent research entity, collaborating with prestigious partners such as Stanford University, UCSF, and UC Berkeley. At Arc, we believe in the power of innovative institutional models to advance critical research initiatives. Our approach emphasizes: Funding: We provide comprehensive funding to our Core Investigators, allowing them to focus on groundbreaking research without the constraints of traditional project-based external grants. Technology: As biomedical research increasingly relies on sophisticated tools, our Technology Centers collaborate with Core Investigators to develop, optimize, and implement cutting-edge experimental and computational technologies. Support: We strive to offer exceptional operational, financial, and scientific support, empowering researchers to embark on high-risk, high-reward projects that aim to make significant strides in curing diseases such as neurodegeneration, cancer, and immune dysfunction. Culture: We prioritize creating a culture of scientific curiosity, unwavering commitment to truth, broad ambition, and selfless collaboration, which we believe are essential for sustaining excellence in research. With a thriving community of over 350 staff members and more than $650 million in committed funding, our state-of-the-art laboratory in Palo Alto positions Arc for rapid growth in the years ahead. About the Position The Hsu Lab invites applications for a Scientist role focused on the development and application of innovative genome editing technologies. Our recent discovery of Bridge Recombinases—naturally occurring RNA-guided DNA recombinases that can programmatically insert, excise, and invert DNA—marks a significant advancement in the field (Nature, 2024 and Science, 2025). The selected candidate will lead the next phase of Bridge Recombinase evolution, building on our progress with IS110 and ISCro4 as programmable tools.
Full-time|$250K/yr - $250K/yr|On-site|Palo Alto, CA
Our MissionAt Whop, we are dedicated to providing everyone with a sustainable income. Currently, we empower millions across the globe, exemplifying the transformative nature of today's workforce, especially for the youth.About the RoleWe are in search of talented Data Scientists to play a pivotal role in shaping our decision-making framework. You will be responsible for managing the data infrastructure that informs our understanding of growth, product efficiency, marketplace trends, and overall financial and operational health. Collaborating closely with teams in product, growth, finance, and leadership, you will address critical questions that guide our strategic investments, identify successes and challenges, and accelerate our scaling efforts.Key ResponsibilitiesTransform complex product, marketplace, and financial data into actionable insights.Develop dashboards and metrics that are integral to leadership and team decision-making.Identify key growth drivers, retention trends, funnel obstacles, marketplace quality indicators, and monetization prospects.Collaborate with product and engineering teams to establish metrics, enhance data collection processes, and assess product launches.Prepare performance reports suitable for board and executive review.Proactively identify anomalies, risks, and opportunities before they are raised by other teams.Required QualificationsProven experience in a data science, analytics, or strategic data role within a fast-paced technology company.Ability to convert ambiguous business inquiries into structured analyses, metrics, and actionable recommendations.Expertise in handling disorganized, incomplete, or rapidly evolving data.Strong judgment regarding product and business strategies; capable of distinguishing between intriguing and practical analyses.Excellent communication skills that bridge technical and non-technical teams.A proactive mindset: you take initiative to address significant challenges without waiting for explicit direction.Comfortable collaborating closely with founders, leadership, product, engineering, growth, and finance teams.Preferred QualificationsExperience in marketplace dynamics and financial modeling.
About UsOdyssey AI is at the forefront of artificial intelligence innovation, developing groundbreaking general-purpose world models that represent a new paradigm in multimodal intelligence. Our cutting-edge models, including the remarkable Odyssey-2 Pro, are unlocking new possibilities for consumer, enterprise, and intelligence applications.Your RoleWe seek a highly skilled and imaginative researcher who thrives on the challenge of invention. You are driven by curiosity, eager to transform abstract concepts into tangible systems, and adept at integrating research with practical applications. Your ambition to create general-purpose world models capable of real-time generation, comprehension, and interaction is key.ResponsibilitiesPursue innovative research into the foundational aspects of world models, including representation, temporal coherence, causality, control, and long-term imagination.Develop and oversee an independent research agenda, tackling unresolved questions, formulating hypotheses, and creating algorithms that could redefine the capabilities of these models.Investigate novel architectures, learning objectives, and training paradigms that advance beyond current diffusion and transformer methodologies.Create conceptual frameworks and experimental systems to enhance our understanding of model perception and user intent responsiveness within real-world contexts.Collaborate with engineering and infrastructure teams to translate foundational insights into prototypes that showcase new functionalities rather than mere incremental improvements.Contribute to the scientific community by publishing research, mentoring peers, and actively engaging with the broader research ecosystem to influence the evolution of general-purpose world models.
Full-time|$121.3K/yr - $159.5K/yr|On-site|Palo Alto, CA
About Arc Institute Arc Institute is a pioneering independent nonprofit research organization situated at the intersection of artificial intelligence and biology. Our mission is to expedite scientific advancements and unravel the complexities behind various diseases. Established in 2021 and located in Palo Alto, we collaborate closely with renowned institutions such as Stanford University, UC Berkeley, and UC San Francisco. Our unique model allows scientists the liberty to engage in extensive research without the constraints of commercial pressures, supported by long-term funding and resources akin to industry standards. Our Technology Centers and Core Investigator labs synergize to tackle challenges that neither could address independently. Our two key initiatives exemplify our innovative approach: Virtual Cell Initiative: Constructing a comprehensive virtual cell model to uncover disease mechanisms and propose drug targets, thereby accelerating the transition from biological insights to clinical trials. Alzheimer's Disease Initiative: Investigating the genes, pathways, and environmental influences linked to Alzheimer’s disease to create drug candidates that address its fundamental causes. With over 300 dedicated researchers at our Palo Alto headquarters, we are backed by significant long-term philanthropic support. About the Position The Hsu Lab and Konermann Lab are inviting applications for a Scientist specializing in Nucleic Acid Biochemistry. This role focuses on the mechanistic exploration and engineering of Bridge Recombinases—naturally occurring RNA-guided DNA recombinases that we have recently identified and demonstrated to programmably insert, excise, and invert DNA (Nature, 2024; Science, 2025). The successful candidate will lead the next phase of the evolution of Bridge Recombinases, building on our foundational work with IS110 and ISCro4 as programmable tools. You will collaborate with an interdisciplinary team aimed at engineering bridge RNAs and recombinases for extensive genome modifications, therapeutic gene circuit integration, and seamless disease correction.
Join Grindr, the world's preeminent LGBTQ+ social app, as a Senior Data Scientist. This hybrid role is based in our Bay Area or Chicago offices, requiring in-office attendance on Tuesdays and Thursdays.As a Senior Data Scientist, you will collaborate with product managers, designers, and engineers to establish meaningful metrics, design and evaluate experiments, and derive insights that will guide product development. You will play a critical role in shaping data products and experimentation, focusing on enhancing user experience.You will be a key member of Grindr’s centralized Data organization, which fosters collaboration among data scientists, data engineers, and ML/AI engineers. This position offers an exciting opportunity to amplify your impact while learning from experts across various disciplines.
Located in the heart of Silicon Valley, genbio is an innovative start-up driven by a team of exceptional scientists, engineers, and entrepreneurs. We are on a mission to revolutionize the fields of biology and medicine by harnessing the transformative potential of generative AI. Our team is composed of leading experts and trailblazers in AI and biological sciences, dedicated to expanding the horizons of what is achievable. We are visionaries committed to rethinking the future of biology and medicine.As pioneers in developing pan-modal Large Biological Models (LBM), we are setting new standards in biomedicine. Our groundbreaking LBM training leads to significant advancements and a redefined approach to healthcare. With a strong focus on research and development, our leadership in large language models and generative AI places us at the forefront of this groundbreaking field. With a headquarters in Palo Alto, California, and additional offices in Paris and Abu Dhabi, we are well-positioned to make a worldwide impact. Join us on this exciting journey to reshape the future of biology and medicine through the innovative capabilities of Generative AI.
Full-time|$121.3K/yr - $159.5K/yr|On-site|Palo Alto, CA
About Arc InstituteThe Arc Institute is a pioneering scientific organization dedicated to curiosity-driven basic research and technology innovation aimed at understanding and treating complex human diseases. Located in Palo Alto, California, Arc operates as an independent research entity, collaborating closely with Stanford University, UCSF, and UC Berkeley. Our mission is founded on the belief that transformative research initiatives can be greatly enhanced by innovative institutional models.While traditional university research has achieved significant breakthroughs, we emphasize the need for institutional experimentation to further advance science. We provide:Comprehensive Funding: Arc fully finances Core Investigators' (PIs') research teams, freeing scientists from the usual constraints of project-based funding.Advanced Technology: As biomedical research increasingly relies on sophisticated tools, our Technology Centers are dedicated to developing, optimizing, and deploying cutting-edge experimental and computational technologies in partnership with Core Investigators.Exceptional Support: Our goal is to offer unparalleled operational, financial, and scientific assistance to empower researchers in pursuing ambitious, high-risk projects that can significantly impact disease treatments, including neurodegeneration, cancer, and immune dysfunction.Collaborative Culture: We recognize the critical role of culture in scientific achievement and strive to cultivate an environment that prioritizes curiosity, integrity, broad aspirations, and collaborative spirit.With over 350 professionals on board and more than $650 million in committed funding, our state-of-the-art laboratory facility in Palo Alto is set to expand rapidly in the years ahead.About the PositionWe invite applications for a highly proficient Scientist specializing in functional genomics and single-cell sequencing to join our Virtual Cell Initiative. This initiative is pioneering the development of foundational models designed to accurately predict cellular states and responses to interventions. In this pivotal role, you will lead the creation of extensive single-cell perturbation datasets across over 50 cancer cell lines, essential for training our Virtual Cell models.Your responsibilities will encompass the entire experimental workflow, from mammalian cell culture and large-scale CRISPR screening to single-cell library preparation and sequencing. This role not only demands technical expertise but also the ability to drive scientific innovation.
Full-time|$100K/yr - $300K/yr|On-site|Palo Alto, California, United States
Join the OPPO Research Center as a forward-thinking NLP Research Scientist, where you will play a pivotal role in shaping our next-generation AI hardware platforms, including innovative AI Glasses and Earphones. Your passion for generative AI research will drive the design, training, and deployment of sophisticated multimodal intelligence models that effortlessly merge language, vision, and action. Collaborating within our dynamic team, you will co-create algorithms and hardware, translate groundbreaking research into tangible products, and contribute your findings to prestigious AI conferences.
Join us at Simular, where we are at the forefront of developing agentic AI technologies. We invite you to be part of a dynamic team dedicated to pioneering advancements in artificial intelligence that will shape the future of human-agent interactions.Your RoleAs a Research Scientist at Simular, you will:Lead groundbreaking research initiatives in planning, reinforcement learning, multimodal reasoning, grounding, and AI alignment, focusing on critical areas such as reward modeling and AI safety.Design and implement comprehensive experiments encompassing data collection, benchmarking, model training, and evaluation processes.Develop innovative methodologies that enhance AI agent capabilities and reliability, collaborating with top-tier scientists and engineers to achieve significant academic and product outcomes.Work closely with engineering teams to integrate research prototypes into practical applications.Contribute to the AI research community by publishing and presenting findings at prestigious conferences.Engage in hands-on scientific advancement through method design, dataset creation, experimental execution, and benchmarking against state-of-the-art standards.
Grindr connects millions of LGBTQ+ people worldwide through an AI-driven platform. With over 15 million monthly users and more than 130 billion messages exchanged each year, the company’s team of fewer than 200 faces technical challenges at a truly global scale. The Data organization brings together data scientists, data engineers, and ML/AI engineers in a collaborative environment, where sharing knowledge and supporting each other's growth is part of daily work. Role overview The Senior Data Scientist role focuses on Ecosystem Health. This position collaborates closely with product managers, designers, and engineers to shape product metrics, design and analyze experiments, and uncover insights that guide product direction. The work aims to improve user retention by building a safer and more authentic community, proactively preventing harm, strengthening identity trust, and empowering users to manage their safety experiences. The team also adapts to evolving regulatory requirements as needed. This role sits at the intersection of AI/ML, fraud prevention, risk management, and trust & safety. Strategies and innovations developed here help ensure authenticity, reduce harmful behaviors, and build user confidence across Grindr’s global user base. Grindr values technical skill and curiosity, especially for those interested in developing their product sense and analytical leadership. This position offers the chance to expand influence and learn from colleagues with diverse backgrounds. How the team works Grindr’s "Grindr Mode" philosophy means working hard while prioritizing well-being. The company values results over raw output, and the team supports each other in maintaining high standards along with a healthy work-life balance. What you will do Define and monitor key product metrics in partnership with cross-functional teams. Design, execute, and analyze A/B tests to measure the impact of new features. Conduct deep data analyses to identify trends and generate actionable insights. Communicate findings clearly to stakeholders and help shape product strategies. Build dashboards and tools that enable teams to track metrics and make informed decisions. Contribute to best practices and knowledge sharing within the Data Science team. Location This position is based in Palo Alto.
Join Grindr as a Senior Staff Data Scientist in a hybrid capacity at our Palo Alto office, where you will work in-office on Tuesdays and Thursdays.Why This Role is ExcitingGrindr (NYSE: GRND) is the largest LGBTQ+ social networking platform globally, boasting over 14 million active users monthly across nearly every country. As an integral part of the LGBTQ+ community, we are a cornerstone of gay culture.In your role, you will collaborate across teams including product managers, designers, and engineers to develop actionable metrics, spearhead innovative experiments, and provide data-driven insights that will inform strategic decisions. Your contributions will directly enhance the experience of millions of users through production-level models and analyses. Furthermore, you will serve as an ambassador for the Data Science team, sharing knowledge about effective data utilization with diverse teams across the organization.Being a part of Grindr's data organization means engaging with a dynamic team of data scientists, data engineers, and ML/AI engineers, all working together to push the boundaries of data science.Key ResponsibilitiesDerive actionable insights from complex, open-ended inquiries.Define strategies for designing and assessing experiments to evaluate product changes.Effectively communicate results to executives and cross-functional teams to influence product and organizational strategies.Analyze product data to identify the root causes of metric fluctuations.Collaborate with stakeholders to communicate findings that guide product decisions.Develop and oversee tools that automate analyses, enhancing productivity across the organization.Mentor team members and recommend best practices.Employ an engineering mindset to streamline complexity while maximizing utility and maintainability.Shape the future of our data products by developing machine learning solutions that enhance user recommendations, identify spam, and improve user engagement.What We Value in You
