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Experience Level
Mid to Senior
Qualifications
Qualifications for this role include a Master's or PhD in Computer Science, Engineering, or a related field. Strong analytical and problem-solving skills are required, along with expertise in programming languages such as Python or R. Experience with frameworks such as TensorFlow or PyTorch is advantageous. A demonstrated ability to work collaboratively in a team environment while leading projects to successful completion is also crucial.
About the job
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.
About Gauss Labs
Gauss Labs is a pioneering technology company specializing in AI and machine learning solutions, dedicated to transforming industries through innovative technology and cutting-edge research.
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.…
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|$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 boundaries of scientific exploration. At Arc, we believe in pioneering new institutional models that foster transformative research. We fully fund our Core Investigators’ research teams, freeing them from the constraints of traditional project-based grants. Our Technology Centers are at the forefront of biomedical research, enhancing experimental and computational technologies in collaboration with our scientists. We strive to provide unparalleled operational, financial, and scientific support, enabling our researchers to tackle long-term, high-risk endeavors that could lead to breakthroughs in areas like neurodegeneration, cancer, and immune dysfunction. As an organization, we prioritize a culture of scientific inquiry, integrity, ambition, and collaborative spirit, understanding that a positive environment is crucial for sustained scientific excellence. With nearly 300 employees and over $650 million in committed funding, Arc is expanding rapidly, equipped with a state-of-the-art laboratory facility in Palo Alto. About the Position We are on the lookout for a dynamic Scientist specializing in cellular engineering and stem cell biology to join our Molecular Engineering team within the Genome Engineering Technology Center. This role involves designing, generating, and characterizing engineered human pluripotent stem cell (hPSC) lines for genetic perturbation screens in complex organoid models, aimed at exploring the genetic underpinnings of neurodegenerative disorders. Key projects include creating optimized effector systems for robust gene knockdown and activation throughout differentiation, introducing rare coding variants to model disease-associated mutations, and implementing cutting-edge genome engineering technologies to enhance perturbation capabilities. Your contributions will be vital to the Institute's Alzheimer’s Disease Initiative, a comprehensive effort to advance our understanding of this critical area.
Arc Institute is a nonprofit research organization in Palo Alto, CA, dedicated to advancing science at the intersection of artificial intelligence and biology. Since its founding in 2021, Arc has partnered with Stanford University, UC Berkeley, and UC San Francisco to accelerate research and uncover the causes of complex diseases. Researchers at Arc receive stable, long-term funding and access to resources that enable ambitious, high-risk projects without the usual commercial constraints. The institute’s Technology Centers and Core Investigator labs collaborate closely, combining experimental and computational approaches to address scientific questions that require both perspectives. Arc’s team includes more than 300 staff members at its Palo Alto headquarters, supported by significant long-term philanthropic funding. The organization leads several major initiatives, including the Virtual Cell Initiative, which aims to build a comprehensive virtual cell model to uncover disease mechanisms and identify drug targets, and the Alzheimer's Disease Initiative, focused on understanding and developing treatments for Alzheimer’s disease. Role overview The Director of Machine Learning for the Virtual Cell Initiative will shape and lead the development of advanced machine learning models for perturbative gene expression modeling. This role centers on building predictive models using single-cell genomic data and guiding the overall modeling strategy for the initiative. What you will do Design and implement machine learning models tailored to the needs of the Virtual Cell Initiative. Lead efforts in predictive modeling using single-cell genomic data. Develop and refine strategies for perturbative gene expression modeling. Collaborate with multidisciplinary teams across experimental and computational domains. Requirements Deep experience in building predictive models from single-cell genomic data. Strong scientific leadership in machine learning and computational biology. Expertise in designing and implementing advanced machine learning models. Why join Arc Institute? Work at the intersection of AI and biology with the potential to impact drug discovery globally. Contribute to a research environment that integrates wet lab data generation and advanced AI modeling. Be part of a team that combines the agility of a startup with the depth of a leading academic center. Collaborate with scientists and entrepreneurs from around the world.
Full-time|$87K/yr - $114.3K/yr|On-site|Palo Alto, CA
About Arc Institute Arc Institute is a pioneering scientific organization dedicated to curiosity-driven basic research and technological advancements aimed at understanding and treating complex human diseases. Based in Palo Alto, California, we operate independently while collaborating with esteemed institutions such as Stanford University, UCSF, and UC Berkeley. Emphasizing innovative institutional models, Arc Institute is committed to fostering significant research initiatives by: Providing full funding for Core Investigators (PIs), allowing them to focus on groundbreaking research without the usual limitations of external grants. Developing cutting-edge technologies in our Technology Centers, where we collaborate with Core Investigators to enhance and apply advanced experimental and computational methods. Ensuring top-tier operational, financial, and scientific support, empowering scientists to engage in high-risk, high-reward research that can lead to advancements in curing diseases such as neurodegeneration, cancer, and immune dysfunction. Cultivating a scientific culture that emphasizes curiosity, commitment to truth, ambition, and collaborative spirit. Currently, Arc Institute has expanded to over 350 staff members and has secured more than $650 million in funding, with plans for rapid growth supported by our state-of-the-art laboratory facilities in Palo Alto. About the Position We are in search of a highly skilled Senior Research Associate with extensive experience in single-cell RNA sequencing to join our Virtual Cell Initiative at Arc Institute. In this role, you will play a pivotal part in generating large-scale single-cell perturbation datasets across over 50 cancer cell lines, facilitating the training of Virtual Cell models to accurately predict cellular states and responses to interventions. Your expertise in implementing single-cell genomics technologies will be crucial for scaling our workflows to produce high-quality scRNA-seq datasets, contributing to the essential data generation for Arc’s Virtual Cell Initiative. Collaborating within a dynamic team, you will have opportunities to foster innovation and drive impactful scientific progress.
Rivian and Volkswagen Group Technologies brings together two leaders in the automotive world, working side by side to shape the next generation of electric vehicles. The partnership focuses on advanced operating systems, zonal controllers, and cloud connectivity, all aimed at solving complex challenges in the EV space. The team is dedicated to setting new standards for software-defined vehicles around the globe. Expertise in connectivity, artificial intelligence, and security drives this joint effort. The goal is to create a more connected, intelligent, and sustainable future for mobility. Role overview The Senior Functional Safety Engineer will play a key role in the development of electric vehicle technology, with a focus on innovative zonal architecture. This position centers on designing and implementing Electronic Control Units (ECUs) that balance safety and performance for next-generation vehicles. Specialized knowledge in functional safety and hardware reliability is essential. The work involves creating hardware systems that are both fail-safe and high-performing, helping to set new benchmarks for reliability and effectiveness in the industry. What you will do Design and implement ECUs for electric vehicles, ensuring safety and performance are prioritized Develop hardware systems that meet rigorous reliability and safety standards Contribute to the advancement of zonal architecture in EV technology Requirements Extensive experience in functional safety engineering, especially for automotive applications Strong background in designing fail-safe hardware systems Proven ability to deliver reliable solutions that meet industry standards
QualifiedHealth seeks a Strategic Initiatives Lead to join the Office of the CEO. This hybrid position is based in Palo Alto, CA and centers on driving projects that align with the company’s mission of delivering innovative healthcare solutions. Role overview This role works closely with executive leadership to identify and advance key initiatives. The focus is on supporting strategic projects that improve both operational efficiency and patient care. What you will do Collaborate with company leaders to identify strategic opportunities Evaluate potential initiatives and recommend next steps Lead project implementation to enhance operations and patient outcomes Location This is a hybrid role based in Palo Alto, CA. Regular on-site presence is expected.
Rivian and Volkswagen Group Technologies brings together two major automotive innovators to push forward the development of electric vehicle technologies. The partnership concentrates on operating systems, zonal controllers, and cloud connectivity, aiming to raise the bar for software-defined vehicles. The team blends strengths in connectivity, artificial intelligence, and security to build smarter, more connected, and sustainable vehicles. Role overview The Functional Safety Engineer for Infotainment Systems plays a key role within the Functional Safety Engineering team. The focus is on ensuring the safety and reliability of infotainment and connected vehicle systems, including displays, Human-Machine Interface (HMI), telematics, and the intricate interactions between hardware and software in these areas. What you will do Analyze and address safety risks in infotainment systems, such as connectivity failures, display faults, and software errors. Define safety requirements and validate systems using LabCar and Hardware-in-the-Loop (HiL) testing setups. Work hands-on to ensure that infotainment issues do not impact safety-critical vehicle functions or distract drivers. Collaborate with HMI, Connectivity, and Platform teams, and coordinate with ADAS teams where infotainment and driver support features overlap.
Join our team at Rivian as a Functional Safety Engineer specializing in Advanced Driver Assistance Systems (ADAS). In this pivotal role, you will be responsible for ensuring the highest standards of safety and reliability in our cutting-edge vehicle technologies.Your expertise will guide the development and implementation of safety standards, risk assessments, and verification processes that are critical to our mission of delivering safe and innovative transportation solutions.
Full-time|$259K/yr - $259K/yr|On-site|Palo Alto, California, United States
Join Our Team as a Senior Functional Safety Engineer for Humanoid RoboticsAt 1X, located in Palo Alto, CA, we are pioneers in developing humanoid robots that collaborate with humans to address labor shortages and foster abundance.Your RoleAs a Senior Functional Safety Engineer at 1X, you will take charge of ensuring the functional safety of our robotic systems throughout their lifecycle. Your responsibilities will include identifying hazards early, mitigating risks, and maintaining valid safety arguments as our robots evolve in autonomy and learning. You will shape the system-level safety architecture, incorporating safety mechanisms, redundancy, monitoring, and fault-handling strategies into the robot design. This critical position grants you broad technical authority, significantly influencing our robot's architecture and deployment readiness. You will report directly to the Director of Robot Safety.Key ResponsibilitiesDefine and oversee the functional safety concept for our humanoid robotic systems.Lead and conduct system-level hazard analyses, including HARA, FMEA, and FTA.Develop and manage safety requirements across the system architecture.Establish safety mechanisms, including limits, monitors, and graceful degradation protocols.Contribute technically to safety cases and assurance arguments.Collaborate cross-functionally to influence architectural and design decisions.Support operational safety and continuous risk reassessment throughout the product lifecycle.
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.
JOB SUMMARYAs a Respiratory Care Practitioner II in the Pulmonary Function Lab, you will play a crucial role in delivering both diagnostic and therapeutic clinical procedures. Your expertise will guide the assessment and treatment of neonatal, pediatric, and adult patients in accordance with physician orders.ESSENTIAL FUNCTIONSThis position includes a variety of responsibilities typical for this classification, but is not limited to the following:Conduct comprehensive pulmonary function tests including bronchodilator evaluations, spirometry, oxygen ventilation, hypoxic challenges, and overnight pulse oximetry.Perform advanced diagnostic procedures such as actigraphy activity level monitoring, apnea studies, and airway resistance measurements.Assist with arterial blood gas procurement and infant pulmonary function diagnostics.Collaborate with Level III practitioners for additional testing as required.Participate in ongoing education and adhere to safety and quality programs as per Joint Commission Requirements.All duties must be performed in alignment with hospital policies, including service standards and the code of conduct.
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 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.
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|$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.
