Machine Learning Scientist at Arena Intelligence | Bay Area

Join the Arena Intelligence TeamArena Intelligence is a cutting-edge platform dedicated to evaluating the performance of AI models in real-world scenarios. Founded by a team of researchers from UC Berkeley’s SkyLab, our mission is to push the boundaries of AI through comprehensive measurements and advancements.Every month, millions turn to Arena Intelligence…

Join Arena Intelligence as a Data ScientistArena Intelligence stands at the forefront of AI evaluation, offering an open platform that examines how AI models perform in real-world scenarios. Founded by UC Berkeley's SkyLab researchers, our mission is to push the boundaries of AI utility.Each month, millions engage with Arena Intelligence to assess the performance of pioneering AI systems, using our community's insights to foster transparent, comprehensive, and human-centric model evaluations. Leading enterprises and AI labs depend on our evaluations to gauge real-world reliability, alignment, and impact. Our leaderboards are regarded as the benchmark for AI performance, trusted by industry leaders and influencing global discussions on model reliability and advancement.Our diverse team of researchers, engineers, and builders hail from prestigious institutions such as UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth, agility, and craftsmanship while fostering an environment that values curiosity and impact over hierarchy. At Arena, skilled individuals from all backgrounds are empowered to excel in their fields, contributing to an atmosphere rich in excellence, energy, and focus.The RoleAs a Data Scientist, you will investigate and interpret the data that fuels millions of AI evaluations weekly. Your responsibilities will include generating and testing hypotheses, identifying causal relationships, and revealing insights that enhance our understanding of frontier model behaviors in practical applications. You will collaborate with machine learning researchers and engineers to design experiments, analyze extensive datasets, and develop statistical frameworks aimed at refining the reliability and interpretability of our AI evaluation systems. Senior-level candidates are preferred for this role.

Join Our Team at Arena IntelligenceArena Intelligence is revolutionizing the way we evaluate AI models in real-world applications. Founded by visionary researchers from UC Berkeley’s SkyLab, our mission is to measure and elevate the standards of AI performance across various domains.With millions of users each month, Arena serves as a trusted platform for understanding the reliability and impact of advanced AI systems. We leverage community insights to refine our evaluation processes, ensuring transparency and relevance. Our leaderboards are recognized as the benchmark for AI performance, shaping discussions and decisions in the global AI community.Our diverse team hails from esteemed institutions such as UC Berkeley, Google, Stanford, DeepMind, and Discord. We foster a culture of innovation, collaboration, and excellence, where every team member is empowered to contribute their expertise and drive impactful results.Your RoleAs a Technical Recruiter at Arena, you will play a pivotal role in scaling our exceptional team. You will be a key partner to hiring managers, guiding them through the recruitment process to define role expectations and develop effective interview strategies. Your focus will be on building inclusive hiring practices and enhancing our employer brand while ensuring a seamless and engaging candidate experience.Key ResponsibilitiesCollaborate with hiring managers to define role outcomes, success profiles, and interview plans aligned with business objectives.Oversee the full recruitment cycle from kickoff to offer acceptance, ensuring efficiency and effectiveness at each stage.Create talent pipelines through targeted sourcing strategies, including passive outreach, community engagement, events, referrals, and compelling job postings.Implement a structured and equitable hiring process by defining competencies, calibrating evaluation rubrics, and maintaining a consistent candidate experience.Uphold a commitment to excellence across all recruitment stages by continuously refining processes and improving funnel health.Monitor recruitment metrics, providing regular updates on funnel performance, diversity indicators, and overall progress.Lead offer strategies and negotiations in line with compensation frameworks and market benchmarks.Build and maintain a network of high-potential talent for future opportunities.

Join Arena Intelligence as a Business Development LeadArena Intelligence stands as the premier platform for assessing the efficacy of AI models in real-world scenarios. Established by visionary researchers from UC Berkeley’s SkyLab, we aim to push the boundaries of AI application through precise measurement and evaluation.With millions of users engaging with Arena each month, we harness community insights to foster transparent, thorough, and user-centric model assessments. Our evaluations are the benchmark for AI performance, recognized by leading enterprises and AI laboratories worldwide, and they actively shape the discourse around model trustworthiness and development.Our diverse team comprises experts from UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth-seeking, rapid innovation, and a culture of craftsmanship, curiosity, and impact. At Arena, we cultivate an environment where inquisitive minds from all backgrounds can excel. Each team member brings profound expertise, creating a space charged with excellence and focus.Your RoleThis pivotal senior individual contributor position is ideal for someone who thrives in an autonomous environment. You will manage the complete revenue generation cycle—from engaging with intricate technical stakeholders to finalizing seven-figure contracts.Your main goal will be to ensure that Arena meets and surpasses its annual revenue and consumption objectives by integrating our evaluation infrastructure into the workflows of the leading AI firms globally.Key ResponsibilitiesStrategic Account Development & ExecutionManage Model Lab Relationships: Act as the primary business contact for premier global model labs, overseeing the relationship from research lead through procurement.Drive Revenue Growth: Increase revenue across multiple modalities (text, code, multimodal, vision, auto-eval) by strategically aligning our evaluation programs with each lab’s research and development agendas.Enterprise Solution Expansion: Identify and secure high-value opportunities to bring Arena’s evaluation capabilities to major enterprise clients (e.g., Salesforce, IBM, ServiceNow) looking to assess internal or vendor models.Ensure Market Leadership: Negotiate co-release and marketing rights for all significant lab partnerships to maintain Arena’s position as the industry standard.Lifecycle Management: Oversee contract renewals, upsells, and relationship management to bolster client satisfaction and retention.

Arena Intelligence builds a platform for evaluating AI models in real-world scenarios. The company, founded by researchers from UC Berkeley's SkyLab, is known for transparent, human-centered assessments. Millions turn to Arena Intelligence each month for insights, while leading enterprises and AI labs use its evaluations to measure reliability and impact. Arena’s leaderboards are widely recognized as a standard for AI performance. The team brings together researchers, engineers, and academics from institutions like UC Berkeley, Google, Stanford, DeepMind, and Discord. Arena values truth, agility, and craftsmanship, and welcomes people from all backgrounds. Team members are experts in their fields, contributing to a culture focused on excellence. Role overview The Assistant Controller will build Arena’s accounting function from the ground up. As the first accounting professional at the company, this person will design systems, controls, and infrastructure to support Arena’s growth. The role reports to the Head of Finance and is foundational in supporting a product trusted by elite AI labs and enterprises. This position covers all aspects of accounting operations, including daily financial activities, timely month-end closes, and preparation for audits. The Assistant Controller will handle complex enterprise contracts, manage revenue recognition, and develop a cost accounting framework. Collaboration with an external accounting firm is part of the job. Key responsibilities Oversee monthly, quarterly, and annual financial closes, ensuring GAAP compliance in financial statements and analyses. Manage daily financial operations, including Accounts Payable, Accounts Receivable, expense allocations, and balance sheet reconciliations for major enterprise clients. Handle revenue recognition, applying ASC 606 to complex enterprise contracts. Design and implement scalable financial systems and processes to support rapid growth. Location Bay Area

Join Until, a visionary moonshot company dedicated to revolutionizing biology with a groundbreaking 'pause button' for organ preservation. Our immediate mission focuses on organ-scale reversible cryopreservation, which allows for the preservation of donated organs at subzero temperatures while preventing ice formation, facilitating uniform rewarming for transplant. By addressing this monumental challenge, we are paving the way for whole-body reversible cryopreservation, providing patients with hope for future medical advancements.To realize our ambitious objectives, we are curating a diverse team of experts to innovate perfusion systems, develop cryoprotectant formulations, and engineer cutting-edge vitrification and rewarming technologies. Additionally, we are expanding our medical hibernation team to tackle the complexities of whole-body cryopreservation, starting with rodent models.We envision a future where logistics never hinder the availability of transplantable organs, and where terminal diagnoses can be reconsidered, allowing patients to await the arrival of future medical solutions safely.About the RoleAs a Machine Learning Engineer / Scientist at Until, you will play a pivotal role in our computational team, transforming experimental data into actionable insights that fuel scientific breakthroughs. You will create high-impact machine learning systems to aid in the development of innovative cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and unravel the physics underlying vitrification and rewarming processes. You will lead projects end-to-end, encompassing data collection design, data pipeline architecture, model training and evaluation, and the deployment of user-friendly tools for our scientific team.

Join Arena IntelligenceArena Intelligence is the premier open platform for assessing the real-world performance of AI models. Founded by innovative researchers from UC Berkeley’s SkyLab, our mission is to enhance and measure the frontier of AI applications in real-world scenarios.Every month, millions of users leverage Arena Intelligence to delve into the performance of advanced AI systems. We harness community feedback to create transparent, rigorous, and user-centered evaluations. Leading enterprises and AI research labs count on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards are recognized as the definitive standard for AI performance, shaping the global discourse around model reliability and progress.Our dynamic team is composed of researchers, engineers, and academics from esteemed institutions like UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth-seeking, rapid innovation, and craftsmanship, fostering an environment where diverse, thoughtful individuals can excel. Every team member is a deep expert in their respective field, contributing to a vibrant culture of excellence and focus.Position OverviewWe are looking for a Senior Infrastructure Engineer to architect, build, and enhance the technical framework that drives the world’s most transparent AI evaluation platform. This is more than just a role focused on architecture; you will collaborate closely with product, security, and data teams to identify system bottlenecks, design robust systems, and deploy code that ensures our platform remains fast, reliable, and secure at scale.Your work will have a significant impact across the technology stack: optimizing system performance, creating building blocks that facilitate swift feature delivery, fortifying our systems against misuse, and scaling infrastructure to accommodate billions of API requests and real-time interactions. If you are passionate about cross-functional collaboration, diving deep into code, and transforming infrastructure into a standalone product, this role is for you.Key ResponsibilitiesLead technical strategy for Arena’s core infrastructure - encompassing networking, APIs, services, data systems, and security frameworks.Design and develop high-performance systems capable of scaling to hundreds of millions of real-time interactions and evaluations daily.Collaborate with security engineering to integrate anti-abuse mechanisms, Sybil resistance, and trust systems into the core architecture of the platform.Work alongside product engineering to implement infrastructure enhancements that expedite feature delivery and enhance overall platform performance.

Join Arena Intelligence as a Machine Learning ScientistAt Arena Intelligence, we are revolutionizing how AI models are evaluated in real-world scenarios. Founded by innovative researchers from UC Berkeley’s SkyLab, our mission is to push the boundaries of AI evaluation and ensure its practical application.With millions of users engaging with our platform each month, we prioritize community feedback to develop transparent, rigorous, and human-centered model evaluations. Our leaderboards serve as the benchmark for AI performance, gaining the trust of leading enterprises and AI labs to understand the reliability, alignment, and impact of AI systems.Our diverse team comprises experts from esteemed institutions such as UC Berkeley, Google, Stanford, DeepMind, and Discord. We foster a culture that values truth, agility, craftsmanship, curiosity, and impact over hierarchy. We are committed to creating an environment where talented individuals from all backgrounds can excel in their work.Role OverviewWe are seeking a passionate Machine Learning Scientist to spearhead our open-source research initiatives, including the development of open datasets and code releases. You will be instrumental in advancing how AI models are evaluated and understood globally.In this position, you will operationalize our dedication to openness by curating impactful datasets, developing innovative methodologies, and establishing reproducible benchmarks. Your contributions will enhance our public leaderboards, empower community tools, and promote transparency in AI evaluation on a global scale.This interdisciplinary role involves collaboration with engineers, product teams, marketing, and the broader research community to refine model comparisons, analyze preference data, and explore dimensions like style, reasoning, and robustness. You will also work closely with our go-to-market teams to advocate for our open research initiatives, strengthen research partnerships, and encourage community engagement.If you are excited by complex challenges, rigorous evaluation processes, and scientific outreach, we invite you to apply!

At Causal Labs, we are on a groundbreaking mission to develop general causal intelligence—artificial intelligence that not only predicts future events but also determines the most effective actions to influence those outcomes.To achieve this monumental goal, we are constructing a Large Physics Foundation Model (LPM). Our focus is on domains governed by physical laws, which inherently exhibit cause-and-effect relationships, setting them apart from traditional visual or textual data.Weather serves as the ideal training environment for our LPM, being one of the most extensively observed physical systems available. It provides immediate, objective feedback from sensory observations and boasts data scales significantly larger than those currently employed to train existing language models.Our team at Causal Labs includes leading researchers and engineers with backgrounds in self-driving technology, drug discovery, and robotics, hailing from prestigious organizations such as Google DeepMind, Cruise, Waymo, Meta, Nabla Bio, and Apple. We firmly believe that achieving general causal intelligence will represent one of the most critical technological advancements for our civilization.We are seeking innovative researchers eager to confront unsolved challenges in the field.This role presents an opportunity to create powerful models rooted in observable feedback and verifiable ground truths. If you possess experience in pioneering research and training large-scale models from the ground up in areas such as language and vision models, robotics, or biology, we invite you to join our mission.

About Arena IntelligenceArena Intelligence serves as the premier platform for assessing the effectiveness of AI models in practical applications. Founded by a team of researchers from UC Berkeley’s SkyLab, our mission is to push the boundaries of AI measurement and utilization in real-world scenarios.Every month, millions of users engage with Arena Intelligence to investigate the performance of cutting-edge systems. We actively incorporate feedback from our community to enhance our model evaluations, ensuring they are transparent, rigorous, and centered around human values. Leading organizations and AI research facilities rely on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards are recognized as the benchmark for AI performance, trusted by industry leaders and influencing global discussions on model reliability and advancement.Our diverse team includes researchers, engineers, academics, and innovators from renowned institutions such as UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth, agility, and craftsmanship, valuing curiosity and impact over traditional hierarchies. At Arena, we foster an environment where insightful and inquisitive individuals from varied backgrounds can excel. Each team member is a specialist in their area, contributing to a culture of excellence and focus.About the RoleWe are looking for a Scientific Content Lead to uphold and articulate the scientific integrity of the most reliable AI evaluation platform globally. In this role, you will ensure that Arena’s methodologies, data quality standards, and evaluation outcomes are effectively communicated to researchers, labs, policymakers, analysts, and businesses.This position is highly technical and demands cross-functional collaboration. You will collaborate with our research team to translate evaluation science into precise public content, preemptively address methodological criticisms, and maintain Arena’s dedication to transparency and impartiality.Your ResponsibilitiesDevelop and manage Arena’s scientific communications strategy, ensuring that our evaluation methodologies, benchmarks, and data quality practices are accurately represented externally.Steer Arena’s proactive narrative regarding data quality, countering common criticisms and misconceptions with transparency, evidence, and integrity in storytelling.Create foundational explanations of Arena’s measurement strategies, including methods like Bradley-Terry-Luce ranking, confidence intervals, and uncertainty-aware interpretations.Ensure responsible communication of Arena’s leaderboards, clarifying that rankings are statistical estimates, small variances may be noise, and uncertainty must be accounted for in public interpretations.Engage with various stakeholders to foster a deeper understanding of Arena’s scientific contributions and methodologies.

Join Altos Labs as a Machine Learning Scientist or Senior Machine Learning Scientist and be at the forefront of innovative research in the virtual cell space. Our team is dedicated to advancing the field of machine learning and its applications in biological research.

Join us at Physical Intelligence as a Research Scientist, where you will be at the forefront of innovation in machine learning and robotics. We are in search of exceptional researchers across all experience levels who demonstrate a strong track record of impactful research results. Ideal candidates will possess a solid foundation in both practical implementation and theoretical frameworks, showcasing a blend of system-building capabilities and significant conceptual, algorithmic, or theoretical advancements. We value diverse backgrounds and encourage applications from both traditional academic researchers and those with unique, unconventional experiences.We are committed to fostering a diverse and inclusive workplace. In accordance with the San Francisco Fair Chance Ordinance, we welcome applications from qualified individuals with arrest and conviction records.

Join our innovative team at Lever as a Senior Scientist, where you will play a crucial role in advancing our mission to redefine talent acquisition. Lever is at the forefront of developing cutting-edge hiring software that empowers companies such as Netflix, Shopify, and Spotify to attract and retain top talent. We pride ourselves on fostering a people-first culture, investing in our employees, and being recognized as a premier workplace in San Francisco and across the United States.As a Senior Scientist, you will leverage your expertise to contribute significantly to our projects and help shape the future of hiring technology. Your insights and skills will be invaluable as we continue to scale and innovate.

At Scale AI, we are the premier partner for data and evaluation in the rapidly evolving field of artificial intelligence. Our commitment to advancing the assessment and benchmarking of large language models (LLMs) positions us at the forefront of AI innovation. We are dedicated to creating leading-edge LLM evaluation methodologies that set new benchmarks for model performance. Our research teams collaborate with the top AI laboratories in the industry to provide high-quality data, accelerate progress in generative AI research, and inform what excellence looks like in this domain. As a Staff Machine Learning Research Scientist on our LLM Evals team, you will spearhead the creation of novel evaluation methodologies, metrics, and benchmarks to assess the strengths and weaknesses of cutting-edge LLMs. Your work will shape our internal strategies and influence the broader AI research community, making this role essential for establishing best practices in data-driven AI development.

About Wispr FlowAt Wispr Flow, we strive to make device interaction as seamless as conversing with a friend.Wispr Flow has revolutionized voice dictation, now preferred by users over traditional keyboards due to its unparalleled accuracy on the first attempt. Our platform is context-aware, personalized, and effective across all devices, whether desktop or mobile.By 2026, we aim to expand beyond dictation to develop native actions within an agentic framework that comprehends and responds to user needs reliably.Our diverse team comprises AI researchers, designers, growth specialists, and engineers dedicated to reimagining human-computer interaction. We value team members who prioritize open communication, exhibit a user-centric mindset, and pay meticulous attention to detail. Our collaborative environment fosters spirited discussions, truth-seeking, and tangible impact.Having achieved a remarkable 150% revenue growth quarterly for the past year, we have successfully raised $81 million from top-tier venture capitalists and renowned angel investors.

About Matter IntelligenceWelcome to Matter, a pioneering company at the forefront of vision AI. We are developing an unprecedented sensor capable of perceiving molecular chemistry, temperature, and 3D structure, integrated with a Large World Model that serves as the most advanced intelligence engine for our physical environment. Our unique system not only captures visual data but also comprehends intricate details from a single pixel—what we refer to as Superintelligent Vision.Join a team with an impressive track record, having provided technologies for NASA/JPL's Mars missions, co-founding and spearheading infrastructure for OpenAI, and crafting state-of-the-art sensors for U.S. Defense. Our collective expertise is dedicated to creating the next generation of infrastructure for vision and intelligence in the physical realm.About the RoleWe are in search of a Senior Geospatial Scientist to spearhead the development of sophisticated algorithms and data pipelines that convert our ultraspectral imagery into actionable insights. This pivotal role merges remote sensing science, machine learning, and scalable cloud infrastructure, effectively transforming raw hyperspectral data into validated, production-ready data products.Your responsibilities will include designing and implementing physics-informed machine learning algorithms, constructing robust AWS-based processing pipelines, and ensuring the scientific integrity of each output—from the sensor physics to the final data products. Your contributions will directly empower Matter's mission to deliver transformative Earth observation capabilities across various industries.Key ResponsibilitiesAlgorithm DevelopmentDesign and implement machine learning (ML) and physics-informed algorithms for hyperspectral data analysis.Develop spectral unmixing, classification, and regression models tailored to diverse geospatial applications.Translate domain-specific science (agriculture, mineralogy, ecology, aquatics) into validated algorithmic methodologies.Utilize modern AI tools to enhance code generation and accelerate problem-solving.Pipeline ArchitectureConstruct and maintain scalable data processing pipelines on AWS for handling extensive geospatial datasets.Architect systems for radiometric correction, atmospheric compensation, and geometric orthorectification.Optimize processing pipelines for efficiency in throughput, latency, and cost management across petabyte-scale imagery.

Join our dynamic team at Jobs for Humanity as a Machine Learning Data Scientist, where you will harness the power of data to drive innovative solutions for underserved communities. Your expertise will play a crucial role in developing algorithms and models that enhance accessibility and improve lives.As a key member of our team, you will collaborate with cross-functional teams to identify opportunities for leveraging data to create impactful products. If you are passionate about using your data science skills for a greater good, we want to hear from you!

Join our dynamic team at Laurel as a Senior Machine Learning Data Scientist specializing in Analytics. In this pivotal role, you will leverage your expertise in machine learning and data analysis to drive innovative solutions that enhance our decision-making processes. You will collaborate with cross-functional teams to design and implement predictive models, analyze complex datasets, and translate insights into actionable strategies.Your contributions will be key in shaping the future of our analytics framework, enabling us to better serve our clients and stakeholders. If you’re passionate about data science and eager to make a significant impact, we want to hear from you!

Our MissionAt Altos Labs, we are dedicated to restoring cell health and resilience through advanced cell rejuvenation techniques aimed at reversing diseases, injuries, and age-related disabilities.For more information, please visit our website at altoslabs.com.Our ValueWe embrace a singular value at Altos: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe recognize that diverse perspectives are vital to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders collaborate from around the globe, united by a common mission. Our commitment to fostering a sense of belonging ensures that every employee feels valued for their unique insights. We all share the responsibility of maintaining a diverse and inclusive workplace.What You Will Contribute To AltosAs a Senior or Principal Machine Learning Scientist, you will be pivotal in developing groundbreaking generative AI/ML models that address multi-modal, multiscale biological challenges—from virtual cell simulations to agentic target assessments. We seek an innovative, hands-on individual who thrives in a collaborative and fast-paced environment, emphasizing teamwork, transparency, scientific excellence, originality, rigor, and integrity.

Join Hilbert, a pioneering data science-driven growth engine that empowers B2C teams with predictive insights into user behaviors, revenue drivers, and sustainable growth strategies. Our innovative approach compresses lengthy decision-making processes into mere minutes.Trusted by Fortune 10 enterprises and beloved brands like FreshDirect, Blank Street, and Levain Bakery, Hilbert is the backbone of their growth strategies. We are also collaborating with leading AI companies to push the boundaries of what’s possible.We are seeking a talented Data Scientist who possesses a deep understanding of B2C business challenges, develops actionable models using real-world data, and delivers impactful analyses that facilitate significant growth outcomes — all with the initiative and urgency typical of a founder.This is not a role where you simply receive tasks; you will take ownership of problems from start to finish — from problem framing and modeling to measuring impact — for enterprise clients where the stakes are high and feedback is rapid. If you understand the nuances of churn analysis for different sectors, can create effective recommendation systems from sparse data, and can clearly communicate your causal analysis to clients, we want to meet you.ROLE OVERVIEWYou will closely collaborate with the founding team, engineering, product, and go-to-market teams to enhance the data science systems integral to Hilbert. Daily responsibilities include building models, conducting experiments, analyzing data, and producing analyses that influence key decisions. Our focus is B2C, and the challenges we tackle — such as demand forecasting, customer lifecycle management, personalization, and activation — require an individual who can translate business contexts into effective modeling choices. You will thrive in a high-autonomy, high-ambiguity environment where data is often messy, incomplete, or scarce.Key Responsibilities:Develop ML models that enhance core product features: recommendation systems, search relevance, customer segmentation, demand forecasting, and activation optimization.Contribute to configurable, multi-tenant model architectures that adapt to various customer contexts and business needs, avoiding the need for custom solutions for each case.Build effective models using available data — leveraging limited, noisy, or sparse datasets while determining the appropriate level of complexity.Design and implement rigorous A/B tests and recognize when causal inference methods are necessary.