Research Scientist in Generative Modeling at World Labs | San Francisco

About World Labs: At World Labs, we create foundational world models capable of perceiving, generating, reasoning, and interacting with the 3D environment. Our mission is to unlock the full potential of AI through spatial intelligence, transforming perception into action, reasoning into insight, and imagination into creation. We believe that spatial intelligence will revolutionize storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical realms. Our world-class team is driven by curiosity and passion, boasting diverse backgrounds in technology, from AI research and systems engineering to product design. This synergy fosters a tight feedback loop between our cutting-edge research and user-empowering products. Role Overview We are seeking an innovative Research Scientist specializing in generative modeling, especially diffusion models, to join our modeling team. This position is ideal for individuals with extensive expertise in applying diffusion models to images, videos, or 3D assets and scenes. While not mandatory, experience in any of the following areas will be considered a significant advantage: Large-scale model trainingResearch in 3D computer vision In this role, you will work closely with researchers, engineers, and product teams to translate advanced 3D modeling and machine learning techniques into practical applications, ensuring our technology stays at the forefront of visual innovation. This position entails substantial hands-on research and engineering work, taking projects from conception to production deployment. Key Responsibilities Design, implement, and train large-scale diffusion models for generating 3D worlds. Develop and experiment with large-scale diffusion models to introduce novel control signals, align with target aesthetic preferences, or optimize for efficient inference. Collaborate closely with research and product teams to comprehend and translate product requirements into actionable technical roadmaps. Contribute actively to all phases of model development, including data curation, experimentation, evaluation, and deployment. Continuously investigate and integrate the latest research in diffusion and generative AI. Serve as a key technical resource within the team, mentoring peers and promoting best practices in generative modeling and machine learning engineering.

About World Labs: At World Labs, we are pioneering foundational world models that empower AI to perceive, generate, reason, and interact within the 3D environment. Our mission is to harness the full potential of AI through spatial intelligence, transforming how we see, reason, and create in both virtual and physical realms. We envision that spatial intelligence will revolutionize storytelling, creativity, design, simulation, and immersive experiences. Our team is composed of exceptional individuals who share a passion for technology and innovation, spanning AI research, systems engineering, and product design. This collaborative spirit fosters a dynamic feedback loop between our groundbreaking research and the products we deliver to our users. Role Overview We are in search of a skilled Technical Recruiter / Research Talent Sourcer to join our team at World Labs. In this pivotal role, you will take charge of scaling our technical recruiting and sourcing systems, with a primary focus on attracting elite AI researchers and engineers from top-tier universities and industry labs. This position is highly operational and systems-driven, requiring a blend of creativity, intuition, and a profound curiosity about the AI research ecosystem. You will collaborate closely with founders, research leaders, and hiring managers to align our ambitious research goals with exceptional talent acquisition. What You Will Do: Design and enhance our recruiting and sourcing systems, processes, and tools with a focus on precision, accuracy, and scalability. Proactively identify and engage researchers and engineers from prestigious universities, AI labs, and leading tech companies in ML, robotics, computer vision, and related areas. Maintain superior candidate data, pipelines, and documentation within ATS and internal tracking systems. Devise innovative sourcing strategies leveraging publications, citations, open-source contributions, conference participation, academic networks, and referrals. Work closely with research and engineering leaders to fully understand technical requirements, evolving skill sets, and long-term talent strategies. Manage the candidate experience throughout the recruitment process, ensuring thoughtful, timely, and professional communication. Evaluate recruiting metrics and data to pinpoint gaps, enhance efficiency, and guide hiring decisions. Assist with interview coordination and hiring operations to ensure smooth and predictable processes.

Zyphra is a cutting-edge artificial intelligence firm headquartered in the vibrant city of San Francisco, California.Position Overview:As a Research Scientist specializing in Model Architectures, you will play a pivotal role in Zyphra’s AI Architecture Research Team. Your responsibilities will include the design and thorough evaluation of innovative model architectures and training methodologies aimed at enhancing essential modeling capabilities (e.g., loss per flop or loss per parameter) and tackling core limitations inherent in current models. You will collaborate closely with our pre-training team to ensure that your findings are seamlessly integrated into our next-generation models.Qualifications:A strong research acumen and intuition.Proven ability to navigate research projects from initial conception to execution and final write-up.Exceptional implementation and prototyping skills, with the capability to swiftly transform ideas into experimental outcomes.A collaborative spirit and the ability to thrive in a fast-paced research environment.A deep curiosity and enthusiasm for understanding intelligence.Requirements:Experience with long-term memory, RAG/retrieval systems, dynamic/adaptive computation, and alternative credit assignment strategies.Knowledge of reinforcement learning, control theory, and signal processing techniques.A passion for exploring and critically evaluating unconventional ideas, with the ability to maintain a unique perspective.Familiarity with modern training pipelines and the hardware necessities for designing efficient architectures compatible with GPU hardware.Strong understanding of experimental methodologies for conducting rigorous ablations and hypothesis testing.High proficiency in PyTorch and Python programming.Ability to quickly assimilate into large pre-existing codebases and contribute effectively.Prior publication of machine learning research in reputable venues.Postgraduate degree in a scientific discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Physics).Why Join Zyphra?We emphasize a structured research methodology that systematically addresses ambitious challenges in AI.

At Genmo, we are pioneering advancements in video generation technology through our state-of-the-art research lab. Our mission is to develop open models that contribute to the evolution of Artificial General Intelligence (AGI). Join us as we redefine the capabilities of AI and explore the vast potential of video generation.Role Overview:We are on the lookout for an outstanding Research Scientist specializing in diffusion models to be a part of our innovative team. Your primary focus will be on creating advanced diffusion models aimed at transforming text into captivating video content. This role places you at the cutting edge of AI research, where you will devise new architectures and algorithms to generate visually appealing and coherent videos from textual descriptions.

Genmo is a pioneering research laboratory dedicated to advancing cutting-edge models for video generation, with the mission of unlocking the creative potential of Artificial General Intelligence (AGI). We invite you to be a part of our innovative team, where you can contribute to shaping the future of AI and expanding the horizons of video generation technology.Role Overview:We are on the lookout for a talented Research Scientist to join our dynamic team, specializing in alignment and post-training methodologies for large-scale video generation models. In this pivotal role, you will be instrumental in ensuring our diffusion-based video models consistently deliver high-quality, physically accurate, and safe outputs that align with human values and preferences.Key Responsibilities:Lead groundbreaking research initiatives in alignment and post-training strategies for video generation models, prioritizing enhanced quality, reliability, and alignment with human intent.Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models.Establish robust evaluation frameworks to assess model alignment, safety, and output quality.Create and optimize data collection pipelines for capturing human feedback and preferences.Conduct experiments to validate alignment techniques and their scalability.Collaborate with cross-functional teams to incorporate alignment enhancements into our production workflow.Stay abreast of the latest developments by reviewing academic literature in generative AI and alignment.Mentor junior researchers and promote a culture of responsible AI development.Partner closely with product teams to ensure that alignment methods enhance model capabilities.Qualifications:Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.Demonstrated excellence with a strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) focusing on reinforcement learning, alignment, or generative models.Extensive experience in implementing and optimizing large-scale training pipelines utilizing PyTorch.In-depth understanding of reinforcement learning techniques, especially RLHF.Proficient in distributed training systems and conducting large-scale experiments.Proven ability to design and implement robust evaluation strategies for models.

About World Labs: At World Labs, we are pioneers in building foundational world models that can perceive, generate, reason, and engage with the 3D environment. Our mission is to unlock the full potential of artificial intelligence through spatial intelligence, transforming vision into action, perception into reasoning, and imagination into creativity. We believe that spatial intelligence will pave the way for new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical realms. Our team is composed of exceptional talent united by a shared curiosity and passion for technology, ranging from AI research to systems engineering and product design. Together, we create a dynamic feedback loop between our cutting-edge research and innovative products that empower our users. Role Overview We are in search of a dedicated 3D Data Pipeline Engineer to design, build, and manage the critical systems that facilitate high-quality 3D data processing, synthetic data generation, and rendering across our suite of products. This hands-on role is ideal for someone enthusiastic about large-scale 3D data, system performance, and establishing reliable data pipelines to enhance our product features. In this position, you will collaborate closely with product engineers, 3D artists, and research scientists to develop efficient, robust, and scalable data pipeline capabilities while ensuring high data integrity and performance in our fast-paced startup environment.

About UsAt Latent Labs, we are at the forefront of developing advanced models that delve into the core principles of biology. Our ambitious pursuits are driven by curiosity and a steadfast commitment to scientific excellence. The team behind Latent Labs previously co-developed DeepMind's Nobel Prize-winning AlphaFold, pioneered latent diffusion technology, and created groundbreaking laboratory data management systems alongside high-throughput protein screening platforms. By joining us, you will collaborate with some of the brightest minds in the fields of generative AI and biology.We believe in fostering interdisciplinary collaboration, continuous learning, and teamwork. Our team offsites are designed to cultivate a culture of trust between our London and San Francisco locations.We're on the lookout for innovators who are passionate about solving complex challenges and making a positive global impact. Be part of our monumental mission!Your RoleWe are excited to invite a Research Scientist to join our team, working at the intersection of generative AI and biology. The ideal candidate will have a solid background in molecular biology, biochemistry, mammalian cell culture, and high-throughput screening techniques. You will collaborate with colleagues and work independently to develop and implement screening assays aimed at functionally testing and characterizing novel proteins generated through our proprietary models.This is a unique opportunity to contribute to an organization that advances artificial intelligence in addressing long-standing scientific challenges. A strong technical skill set, adaptability, organizational prowess, and exceptional communication abilities are essential, as is the capability to thrive both independently and as part of a dynamic, collaborative team.

Join the Center for AI Safety (CAIS), a pioneering research and advocacy organization dedicated to addressing the societal-scale risks posed by artificial intelligence. We tackle the most pressing challenges in AI through rigorous technical research, innovative field-building initiatives, and proactive policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund.As a Research Scientist, you will spearhead and conduct transformative research aimed at enhancing the safety and dependability of cutting-edge AI systems. Your responsibilities will include designing and executing experiments on large language models, developing the necessary tools for training and evaluating models at scale, and converting your findings into publishable research. You will work closely with CAIS researchers and external partners from academia and industry, utilizing our compute cluster for large-scale model training and evaluation. Your research will focus on critical areas such as AI honesty, robustness, transparency, and the detection of trojan/backdoor behaviors, all aimed at mitigating real-world risks associated with advanced AI technologies.

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

Contribute to a Safer World.At TRM Labs, we specialize in blockchain analytics and AI solutions tailored for law enforcement, national security agencies, financial institutions, and cryptocurrency businesses. Our mission is to empower organizations to detect, investigate, and mitigate crypto-related fraud and financial crime. Our advanced blockchain intelligence and AI platforms provide comprehensive tools for tracing the flow of funds, identifying illicit activities, building strong cases, and creating a cohesive operational picture of potential threats. Trusted by prominent agencies and businesses globally, TRM is dedicated to fostering a safer, more secure world for everyone.As an AI Research Engineer, you will be a vital member of our AI Engineering team, which is dedicated to refining model selection, fine-tuning, and evaluation strategies for large-scale AI systems. In this senior individual contributor role, you will spearhead technical initiatives aimed at enhancing model performance and orchestration, thereby directly influencing the competitiveness of our AI Engineering platform.Your Impact:Design, develop, and take ownership of a production-grade evaluation system that leads to measurable advancements in model accuracy and latency.Lead experimentation processes, fine-tuning efforts, and feedback-driven evaluation loops to continuously optimize models.Enhance the orchestration of AI/ML systems to guarantee scalable, resilient, and high-impact deployments.Raise technical standards through engineering excellence, mentorship, and leadership as a senior individual contributor.Qualifications We Seek:Proven advanced programming skills in Python and SQL, complemented by strong system design abilities.Extensive experience in deploying machine learning/deep learning models in production environments (experience with LLM/GenAI is highly preferred).Solid understanding of experimentation frameworks, evaluation metrics, and ML Ops best practices.Demonstrated capability to manage critical systems end-to-end while effectively collaborating with cross-functional teams.About Our Team:Our AI Engineering team fosters a collaborative and interdependent environment, promoting an inclusive culture where connections go beyond professional interactions. We value diverse perspectives and are looking for individuals who are results-oriented and personable, possessing strong communication, leadership, and teamwork skills, combined with a positive, solutions-focused attitude.As a globally distributed team, members may observe varied time zones, allowing for flexible collaboration.

Merge Labs is an innovative research facility dedicated to merging biological sciences and artificial intelligence to enhance human capability, autonomy, and experience. Our mission is to pioneer revolutionary methodologies in brain-computer interfaces that facilitate high-bandwidth interactions with the brain, seamlessly integrate advanced AI, and maintain safety and accessibility for all users.About the TeamAt Merge, we are addressing some of the most ambitious challenges in molecular engineering, synthetic biology, and neuroscience. Our Research Platform Team is responsible for creating the experimental frameworks necessary to tackle these challenges with exceptional speed and precision. The tools and methodologies developed by our team significantly enhance molecular assembly, protein expression, mammalian cell culture, advanced microscopy, sequencing, and unique custom techniques. We collaborate with program teams to establish and optimize these capabilities, implement automation where beneficial, and integrate with our data science and machine learning pipelines, continuously pushing the boundaries of throughput and innovation.About the RoleAs a Platform Scientist, you will be instrumental in developing high-efficiency and high-throughput experimental pipelines that accelerate research initiatives. You will work closely with program leads, project scientists, data scientists, and engineers, leading your work and potentially recruiting additional team members as necessary.Key Responsibilities:Collaborate with program leads and scientists to identify critical experimental requirements and workflows.Develop processes to facilitate high-throughput and/or high-efficiency experiments, including reagent production and analysis.Scope, procure, construct, program, and validate instruments to support experimental workflows.Ensure the quality, reliability, and integrity of data generated from automated pipelines, including defining and implementing suitable quality control checkpoints.Work alongside data science and machine learning engineers to incorporate metadata tracking, computational design, and analysis into experimental pipelines.Partner with electrical, mechanical, and software engineers to create custom setups.Innovate and validate concepts to enhance experimental throughput.

About World Labs: At World Labs, we are revolutionizing the way artificial intelligence interacts with the world around us. Our foundational world models are designed to perceive, generate, reason, and engage with the 3D environment, thereby unlocking the full potential of AI through spatial intelligence. We are committed to transforming the realms of storytelling, creativity, design, simulation, and immersive experiences, both in virtual and physical worlds. Our team is composed of world-class professionals, each united by a shared curiosity and passion for technology. With backgrounds spanning AI research, systems engineering, and product design, we create a dynamic feedback loop that seamlessly integrates cutting-edge research with user-centric products. Role Overview: We are seeking a Senior Full Stack Product Engineer who excels at the intersection of product development and engineering. You should possess robust coding skills across the tech stack, a keen eye for crafting intuitive user experiences, and the technical prowess to develop sophisticated 3D web applications. In this role, you will take ownership of product features from inception to deployment, building responsive, user-centric web applications as well as backend generative AI services and APIs. Collaboration with our research team will be crucial as we work together to translate innovative AI research into practical applications. As a player-coach, your engineering expertise and passion for product development will drive our success.

About Liquid LabsAt Liquid AI, research has always been at the forefront of our mission. Liquid Labs serves as a dedicated internal research accelerator, facilitating groundbreaking advancements in the development of intelligent, personalized, and adaptive machines.Our roots extend back to MIT CSAIL, where pioneering work on Liquid Neural Networks established a new category of efficient sequence-processing architectures. This research laid the groundwork for our Liquid Foundation Models (LFMs), which are scalable, multimodal models designed for real-world applications in resource-constrained settings.In Liquid Labs, we continue this legacy by advancing the realm of efficient, adaptive intelligence through both fundamental research and practical engineering efforts.We collaborate closely with Liquid’s core foundation model and systems teams to turn theoretical concepts into deployable capabilities, setting the stage for a new era of powerful and efficient intelligent systems.About The Role:As a Research Engineer at Liquid Labs, you will be part of a dynamic, high-impact team pushing the boundaries of adaptive intelligence. You will be responsible for designing and implementing innovative architectures, training methodologies, and inference strategies to expand the potential of efficient AI.Your work will blend research and engineering, as you translate scientific concepts into functional systems, publish findings that advance the field, and deploy solutions that redefine what is achievable.While we prefer candidates from San Francisco and Boston, we welcome applications from other locations within the United States.

RoleAs a Research Scientist at OpenEvidence, you will explore the potential of cutting-edge models, leveraging a strong research foundation to build practical systems rather than merely publishing papers. You will take ownership of projects from conception to execution, valuing evaluation and quantitative validation as integral components of your work.We seek exceptional innovators who are not confined to narrow specializations. Our engineers and scientists collaborate across diverse products and projects, driving impactful work wherever their skills can shine.About UsOpenEvidence is the leading medical AI platform globally, rapidly adopted by over 40% of US clinicians within just one year through organic, product-driven growth. With a valuation of $12B, our engineering team comprises 30 talented individuals from prestigious institutions like MIT, Harvard, and Stanford. We believe that transformative products emerge from a select group of exceptional builders who are empowered to take initiative and work swiftly toward focused goals. Join us as we embark on a unique opportunity to establish the standard platform for medical AI.CultureWe hold that work should engage at a world-class level. Building from 0 to 1 and scaling from 1 to 1000 is akin to a professional sport, where uncompromising excellence is the standard. We assert that the creation of unprecedented technologies requires complete ownership, and significant achievements arise when individuals commit to them.Who Are You?If your goal is to clock in and out with minimal engagement, this role is not for you. If you prefer to write papers rather than roll up your sleeves and get involved in creating impactful solutions that influence millions, this position may be your calling. The ideal candidate is a remarkable builder—intelligent, ambitious, resourceful, self-driven, meticulous, motivated, diligent, and humble. We recognize this profile is rare, which is why we have only identified 30 such individuals and are eager to find more.LocationAll engineering roles are in-person, requiring attendance five days a week in either San Francisco or Miami.

Join the Center for AI Safety (CAIS), a premier research and advocacy organization dedicated to addressing the complex societal challenges posed by artificial intelligence (AI). Our mission focuses on mitigating large-scale risks associated with AI through groundbreaking technical research, strategic initiatives, and proactive policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund. As a Senior Research Scientist at CAIS, you will spearhead and execute transformative research aimed at enhancing the safety and reliability of advanced AI systems. You will take ownership of significant open challenges, driving them to successful publication. We seek individuals who set a high standard for research excellence and contribute innovative ideas to elevate our collective understanding. Your role will involve designing and conducting experiments on large language models, developing the necessary tools for large-scale model training and evaluation, and translating findings into publishable research. Close collaboration with CAIS researchers and external academic and industry partners will be essential, utilizing our compute cluster for extensive training and evaluation projects. Research areas include AI honesty, robustness, transparency, and mitigating trojan/backdoor behaviors, all geared towards reducing real-world risks from sophisticated AI systems.

Join Multiply Labs as a Scientist IIAt Multiply Labs, an innovative startup located in the heart of San Francisco, California, we are on a mission to revolutionize the accessibility of advanced life-saving therapies. Backed by renowned investors such as Casdin Capital, Lux Capital, and Y Combinator, our goal is to develop the most sophisticated robotic systems in the world to automate and enhance the manufacturing of cell therapies.Our state-of-the-art robotic solutions empower biopharma companies to produce cell therapies at scale, minimizing regulatory hurdles and costs that traditionally exceed $1 million per patient. By leveraging automation, we aim to make these groundbreaking treatments more affordable and accessible to those in need.To witness our technology in action, visit us at www.multiplylabs.com and connect with us on LinkedIn.Position OverviewWe are looking for a passionate Scientist II to play a vital role in advancing and validating our automated processes. This position will primarily entail hands-on laboratory work, where you will enhance the efficiency, accuracy, and reliability of our robotic systems, gaining an in-depth understanding of our innovative technology. Additionally, you will serve as a key representative of Multiply Labs during client system deployments, collaborating directly with customers to ensure the seamless integration and optimal performance of our robotic solutions, thus contributing significantly to their success.

Overview: We’re expanding our Insight Strategist team and are seeking a Senior Research Manager to empower our clients to realize the full potential of Listen Labs. In this pivotal role, you will collaborate directly with product, research, and marketing leaders at some of the most innovative organizations globally, transforming data into actionable business insights.About Listen Labs: Listen Labs offers an AI-driven research platform that enables teams to extract valuable insights from customer interviews in mere hours. Our platform aids in analyzing conversations, identifying key themes, and facilitating quicker, more informed product decisions.Why Join Us?Exceptional Team: Our founding team consists of serial entrepreneurs with a proven track record in AI, as well as talent from renowned companies such as Jane Street, Twitter, Stripe, Affirm, Bain, and Goldman Sachs, among others.Rapid Growth: As a 40-member team backed by Sequoia, we achieved a remarkable $14M run-rate within our first year, emphasizing our commitment to excellence and ownership.Strong Market Traction: We are experiencing swift growth with significant enterprise wins at industry giants like Google, Microsoft, Nestlé, and P&G.Performance Excellence: Our unique product offering has led to an industry-leading win rate.Market Validation: We consistently secure clients across various segments, often resulting in six-figure contracts that lead to rapid expansions.Viral Insights: Our interviews reach tens of thousands of viewers, promoting product-led growth and attracting interest from Fortune 500 companies.Your Responsibilities:Establish trusted relationships with product, research, and insights leaders, assisting them in integrating customer feedback with their business strategies.Lead onboarding and training initiatives to ensure clients swiftly grasp and utilize the platform.Analyze qualitative and quantitative data, identify patterns, and produce insightful briefs, dashboards, and presentations that drive strategic decisions.Act as a strategic partner, proactively identifying opportunities to enhance usage, expand to new teams, and refine metrics for customer success.Collaborate with internal teams (Product, Engineering, Sales) to advocate for the customer perspective and enhance platform features.

About UsAt Koah Labs, we are revolutionizing the advertising landscape by creating an ad network designed for the next generation of AI-driven products. Our mission is to empower publishers to optimize monetization while enabling advertisers to connect with their target audience efficiently and with respect for user privacy and experience.Based in the vibrant city of San Francisco, our cohesive team consists of experts with backgrounds from prestigious companies like X, Apple, and Meta, as well as from successful startups. We have secured funding from top-tier investors and are experiencing rapid growth, gaining significant traction on both publisher and advertiser fronts.Joining Koah Labs means becoming part of a foundational team where your contributions will directly influence our product and the broader ecosystem we are building. We value speed, high trust, and a commitment to excellence in our work.Our Technology StackInfrastructure: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData Management: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application: Ruby on Rails, React, TypeScriptSDK Development: iOS, Android, Web, Flutter, React NativeYour RoleCollaborate within the product engineering team to leverage data and causal reasoning for product decision-making.Design, implement, and evaluate experiments, analyzing outcomes for actionable insights.Elevate engineering practices by promoting data-driven decision-making and a thorough understanding of key business metrics.Employ rigorous statistical analysis and modeling to transform extensive marketplace data into impactful tools and insights that guide product strategy.Are You the Right Fit?You possess an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related discipline.You thrive on tackling complex challenges, formulating testable hypotheses, and conducting research that drives meaningful business outcomes.You are committed to continuous learning and innovation, with a desire to challenge conventional thinking.You have strong capabilities in mathematical and statistical modeling.You excel in communicating your findings to both technical and non-technical stakeholders.

At Judgment Labs, we are revolutionizing the monitoring of agent behavior through our innovative infrastructure for Agent Behavior Monitoring (ABM). Unlike traditional observability metrics focused solely on logging exceptions and latency, our approach identifies behavioral anomalies including instruction drifts and context retrieval losses within scaled production environments.Numerous teams developing autonomous agents depend on Judgment Labs to gain insights into their systems' performance after deployment. Rather than merely reacting to incidents, they can cluster patterns across conversations and workflows, correlate regressions with specific interaction types, and accurately identify where reliability falters in their operational contexts.We are proud to announce that we have raised over $30 million in two funding rounds over the last five months. Our esteemed investors include Lightspeed, SV Angel, Valor Equity Partners, Nova Global, and notable individuals like Chris Manning and Michael Ovitz.The Role:We seek passionate Research Engineers to help us develop AI systems that utilize agent interaction data to enhance our understanding of agent behavior, facilitate large-scale evaluations, and drive improvements through iterative learning and feedback.Your research will have a tangible impact. You will engage directly with real-world agent data, implement cutting-edge methodologies in production, and witness your contributions being deployed in real-time. By enhancing the measurability and debuggability of agent behavior, your work will empower teams across finance, legal, operations, and other critical domains. You will lead projects from inception to completion, enjoying substantial autonomy while collaborating closely with our team to create self-improving agent systems.What You'll Do:Develop systems that aggregate, index, and analyze extensive agent interaction data to derive valuable evaluation metrics.Create agent-based systems for the analysis and evaluation of complex, long-term behaviors.Design and execute post-training and optimization workflows aimed at enhancing agent performance.Build internal tools and infrastructure that promote rapid experimentation, analysis, and training.What We're Looking For:You should resonate with at least one of the following:A strong focus on data quality, evaluation, and benchmarking, with a hands-on approach to working with complex datasets.Experience in developing agent systems and applying them in real-world or production environments.A robust background in machine learning or related fields, with an eagerness to advance agent technology.

Our MissionAt Altos Labs, we are dedicated to restoring cell health and resilience through innovative cell rejuvenation techniques aimed at reversing diseases, injuries, and disabilities that can arise throughout life.For further insights, please visit our website at altoslabs.com.Our ValueOur singular Altos Value is: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe firmly believe that diverse perspectives are crucial for scientific innovation. At Altos, exceptional scientists and industry leaders collaborate globally to further our shared mission. We prioritize Belonging, ensuring all employees feel valued for their unique perspectives, and we hold ourselves accountable for maintaining a diverse and inclusive environment.Your Contributions to AltosAs a member of our team, you will accelerate and enhance our efforts in developing unified, multi-modal generative foundation models tailored for multiscale biology. You will be a key player in multidisciplinary teams that create the computational platforms essential for Altos to fulfill its mission.In this position, you will collaborate with other scientists and engineers across the Institute of Computation to design, develop, and scale cutting-edge foundation models that address biological inquiries and assist in discovering novel interventions for aging and disease. Your focus will be on synthesizing unstructured multimodal signals with structured relational data and knowledge graphs that depict biological realities.The ideal candidate will excel in a dynamic environment that values teamwork, transparency, scientific excellence, originality, and integrity.