Research Engineer at Judgment Labs | San Francisco

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.

At Judgment Labs, we are at the forefront of developing Infrastructure for Agent Behavior Monitoring (ABM). Unlike traditional observability which primarily captures logging exceptions and latency, our innovative ABM technology identifies behavioral anomalies—such as instruction drifts and context retrieval loss—within scaled production environments.Numerous teams creating autonomous agents depend on Judgment to gain insights into their systems' post-deployment behaviors. Rather than responding reactively to incidents, our clients can analyze patterns across conversations and workflows, correlate regressions to specific interaction types, and accurately identify where reliability falters in their operational context.Recently, we successfully raised over $30M across two funding rounds in just five months. Our esteemed investors include top-tier firms and individuals such as Lightspeed, SV Angel, Valor Equity Partners, and many others.The Role:We are seeking a highly motivated Product Engineer with a minimum of 2 years of experience to join our dynamic team. This role is vital for expanding our product offerings to cater to growing customer demand while upholding our commitment to delivering an outstanding user experience in the fast-paced AI agent domain. We are looking for someone passionate about enhancing agent behavior and contributing to a product that is powerful yet enjoyable to use.What You’ll Do:Collaborate closely with our design team to develop new features and refine existing user flows based on user feedback.Engage with customers to capture their needs, gather insights, and propose new features.Develop core product features on both the front-end and back-end, including database interactions.Experiment with new features and technologies, delivering quick demonstrations for the team, and implementing promising solutions.Participate in product design reviews to ensure a high-quality and intuitive user experience.Why Judgment?Essential for Agents: Today's agents face challenges such as hallucination and drift in production. We are building the monitoring infrastructure that allows agents to improve autonomously.Driven to Succeed: Our small but mighty team of fewer than 20 operates with the efficiency of a larger team, delivering daily. You will collaborate with olympiad medalists, debate champions, and competitive athletes who all maintain the same intensity in building the company.

At Judgment Labs, we are pioneering the way that Agent Behavior Monitoring (ABM) is approached. Unlike conventional observability methods that primarily focus on logging exceptions and latency, our innovative ABM technology identifies behavioral anomalies such as instruction drifts and context retrieval losses in large-scale production environments.Our platform is trusted by numerous teams developing autonomous agents, enabling them to gain insights into system behavior post-deployment. By moving beyond reactive incident management, our users can analyze patterns across conversations and workflows, correlate regressions to specific interaction types, and accurately identify where reliability issues arise within their operational context.Recent funding success: We have successfully raised over $30M across two funding rounds within the last five months, attracting notable investors such as Lightspeed, SV Angel, Valor Equity Partners, and more.

At Judgment Labs, we're revolutionizing the landscape of Agent Behavior Monitoring (ABM). Unlike traditional observability that merely tracks exceptions and latency, our innovative ABM technology identifies behavioral anomalies such as instruction drifts and loss of context retrieval in large-scale production environments.Our platform is relied upon by countless teams developing autonomous agents who need insights into their systems' performance after deployment. Rather than just reacting to incidents, our users analyze patterns across conversations and workflows, link regressions to specific interaction types, and identify failure points in their operational context.We have successfully raised over $30 million in funding within the last five months, backed by renowned investors like Lightspeed, SV Angel, Valor Equity Partners, and several industry leaders.

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.

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.

Join our dynamic team at unto-labs as a Product Engineer where you will be at the forefront of innovation. In this role, you will design, develop, and enhance our cutting-edge products while collaborating with cross-functional teams. Your contributions will directly impact the product lifecycle, from conceptualization to deployment.

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.

Join Pylon Labs and Shape the Future of B2B Post Sales!At Pylon, we are revolutionizing B2B post-sales support with an all-inclusive platform that leverages conversational data and advanced intelligence, empowering our clients to manage their operations seamlessly in real-time.Supported by leading investors including a16z, BCV, General Catalyst, and Y Combinator, we proudly serve over 1,000 companies such as Linear, Cognition (creators of Devin), and Modal Labs, who trust us to streamline their support and customer success workflows. We are also honored to be featured on the Enterprise Tech 30 List.This role is fully in-person; remote or hybrid options are not available. Your RoleEngage directly with customers while developing bespoke solutions.We seek a former Software Engineer who appreciates the power of automation—complete a task once and automate it, never to revisit it.Facilitate the migration of new customers from their legacy support systems to Pylon.Lead customer migration meetings within your first week.Serve as the primary 'problem-solver' for customers as they transition to Pylon, guiding them through the reconstruction of their processes and data.Become a product expert and assist customers in identifying the most suitable solutions, even when they may not initially understand their needs.Participate in pre-sales calls, showcasing your expertise in potential solutions.Develop proficiency not only in Pylon but also in the systems we are migrating from (e.g., Zendesk, Intercom).Manage multiple customer migrations simultaneously, ensuring timely completion.Continuously refine and enhance the migration process.RequirementsMust be located in or willing to relocate to San Francisco and eager to work on-site.Highly organized and quick to adapt; you’ll be managing multiple migrations concurrently.Detail-oriented with a strong capacity to learn rapidly; you will need to master various tools promptly.A passion for product innovation and the ability to suggest enhancements.Our BenefitsWe offer a vibrant work culture with numerous perks to enhance your experience.

Join Our Team at Pylon Labs!At Pylon, we are on a mission to redefine the B2B post-sales landscape. Our innovative all-in-one platform leverages conversational data and advanced intelligence to empower our clients to manage their operations seamlessly and in real-time.Pylon is proudly backed by top-tier investors including a16z, BCV, General Catalyst, and Y Combinator.Today, over 1000 companies, including notable names like Linear, Cognition (the team behind Devin), Modal Labs, and Incident.io, rely on Pylon for their support and customer success workflows. We are also honored to be featured on the Enterprise Tech 30 List.Our product encompasses a vast problem space, presenting numerous opportunities for impactful contributions. We are eager to bring on board several exceptionally skilled software engineers across various tech stacks.Are You the Right Fit?You prefer coding over meetings and are committed to delivering high-quality work.You possess strong engineering fundamentals, write efficient code, and understand your strengths and areas for growth.You thrive on autonomy and take ownership of your projects.You are located in San Francisco or are willing to relocate, and you value in-person collaboration to foster a vibrant company culture.Familiarity with React, Golang, GraphQL, and AWS is a plus.You will be joining a highly skilled technical team with senior engineers from respected organizations such as Samsara, Affinity, and Airbnb.Perks of Joining Pylon Comprehensive medical, dental, and vision coverage for employees. 401(k) retirement plan with company match. Commuter benefits to ease your travel. Generous parental leave. 14 company holidays and unlimited paid time off. Annual offsite retreats. Free lunch, dinner, and snacks at the office to fuel your day. Fitness stipend to support your well-being.About Pylon LabsFunding: Series B led by a16z and BCV, with a total of $51M raised.Founders: [Details about the founders].

Join Pylon Labs and Shape the Future of B2B Post Sales!At Pylon, we are on a mission to revolutionize B2B post-sales support with our all-in-one platform that leverages conversational data and advanced intelligence. Our goal is to empower our clients to manage their operations seamlessly in real-time.Backed by leading venture capital firms including a16z, BCV, General Catalyst, and Y Combinator, we proudly serve over 1,000 companies, such as Linear, Cognition (Windsurf), and Modal Labs, who rely on Pylon for their support and customer success workflows. Discover more about us on the Enterprise Tech 30 List.This position is fully in-person at our San Francisco office; we do not provide remote or hybrid work options.Your RoleYou will manage the complete migration process for our clients, which encompasses translating their existing workflows, enabling their teams, and assisting with the transfer of historical data.We believe in utilizing our products ourselves; thus, you will develop strong fluency in our platform. By the end of your first week, you will be fully equipped to guide both yourself and others in using Pylon effectively.As the primary expert on Pylon implementations, you will also gain in-depth knowledge of legacy support systems such as Zendesk and Intercom that we transition customers away from.You will be the first point of contact for customer inquiries related to our product, addressing questions ranging from simple how-tos to intricate edge cases.Handle multiple customer migrations simultaneously, ensuring successful outcomes; currently, we boast zero failed migrations, and we intend to maintain this record.QualificationsMust be located in or willing to relocate to San Francisco and enthusiastic about working on-site.Highly organized, diligent, and swift; you will manage over 20 migrations concurrently.Comfortable engaging with customers via chat and video regularly.A collaborative team player; our Solutions Engineering team is small yet impactful. We thrive on collective efforts, valuing the best ideas regardless of their origin.Detail-oriented with the capacity to learn rapidly; you will need to master various tools quickly.

Join Us in Building a Safer Financial Future.At TRM Labs, we leverage blockchain analytics and AI technologies to empower law enforcement, national security agencies, financial institutions, and cryptocurrency enterprises in their battle against crypto-related fraud and financial crime. Our robust blockchain intelligence and AI solutions are designed to trace funds, identify illicit activities, construct cases, and provide comprehensive threat assessments. Trusted by leading global organizations, TRM Labs is dedicated to fostering a safer and more secure world.As part of our Data Platform team, you will work alongside a talented group of data scientists, engineers, and product managers to create highly available and scalable data infrastructure essential for TRM's products and services. In the role of Engineering Manager, you will spearhead the development of mission-critical systems and data services that analyze blockchain transaction activities at an unprecedented petabyte scale, contributing to a safer financial ecosystem for millions.Your Impact:Lead and mentor a dynamic team of skilled engineers, fostering a culture of technical excellence and collaboration.Provide ongoing coaching and technical guidance to your team and the broader engineering department.Assume responsibility for the quality and timely delivery of your team’s projects, ensuring optimal performance and reliability of critical services.Drive initiatives based on defined goals and measurable outcomes, aligning with key performance indicators (KPIs).Promote best practices in design and usability, developing scalable solutions accompanied by thorough documentation and knowledge sharing.Address escalations from operations and collaborate with various teams to resolve production incidents effectively.Work closely with management and product teams to strategize, estimate, and prioritize roadmap objectives, while identifying upcoming opportunities and risks.Develop highly reliable data services that integrate seamlessly with numerous blockchain protocols.Create and manage ETL pipelines that process and transform petabytes of structured and unstructured data in real time.Design efficient data models for optimal storage and retrieval, ensuring sub-second latency for querying blockchain data.Oversee the deployment and monitoring of large database clusters, ensuring high performance and availability.Collaborate cross-functionally with data scientists and backend engineers to deliver exceptional solutions.

Join Pylon Labs and Shape the Future of B2B Post-Sales!At Pylon Labs, we are pioneering an all-in-one B2B post-sales support platform that leverages conversational data and advanced intelligence to empower our clients to operate seamlessly in real-time.Backed by renowned investors like a16z, BCV, General Catalyst, and Y Combinator, we proudly serve over 1000 companies, including industry leaders such as Linear, Cognition (creators of Devin), Modal Labs, and Incident.io. We are also featured on the prestigious Enterprise Tech 30 List.This position requires full-time, in-person commitment; we do not offer remote or hybrid arrangements.

Overview: Join Listen Labs as we embark on an exciting journey to revolutionize decision-making for companies through cutting-edge AI technology. With a robust product roadmap planned for the next six months, we are expanding our engineering team. We are in search of a highly technical individual who thrives on solving complex problems and is eager to contribute to our mission. If you are passionate about innovation and want to be part of a team that includes several IOI medalists, we want to hear from you!About Listen Labs:Listen Labs is at the forefront of AI-powered research, enabling teams to extract valuable insights from customer interviews in a matter of hours rather than months. Our platform assists users in analyzing conversations, identifying key themes, and making informed product decisions swiftly.Why Join Us?Exceptional Team: Our founding team consists of seasoned entrepreneurs with a proven track record in AI, alongside top talents from renowned organizations such as Jane Street, Twitter, Stripe, and Goldman Sachs.Rapid Growth: Backed by Sequoia Capital, we have grown from zero to a $14M run-rate in under a year, with a dedicated team of 40.Impressive Clientele: We are witnessing significant traction across various sectors, securing enterprise clients like Google, Microsoft, and Nestlé.Product Excellence: Our differentiated product offers an industry-leading win rate, which is a testament to our commitment to quality.Market Success: Our customer base is expanding rapidly, with numerous six-figure contracts leading to further growth.Viral Impact: Our product's interviews reach tens of thousands of viewers, driving organic growth and interest from Fortune 500 companies.

Role OverviewAt Intrinsic Safety, we are at the forefront of teaching machines to navigate complex judgment calls at scale. Our mission is to create AI agents that tackle the nuanced challenges of preventing fraud, scams, and abuse. This is not merely another sales tool or customer service application; we are addressing critical issues in investigations and fraud prevention to ensure the safety of the innocent.Based in San Francisco, our small, highly skilled team is dedicated to pushing the boundaries of what AI can achieve. We aim to make sound decisions in unpredictable, adversarial, real-world situations.We are seeking a Research Engineer to join us in advancing this frontier. In this role, you will design evaluations, analyze failures, create innovative research cycles, and transform research concepts into operational capabilities.This position blends research and engineering: you will be a model architect, an experimental investigator, and a systems engineer all at once.

Join Pylon Labs: Pioneering B2B Post-Sales SolutionsAt Pylon, we are at the forefront of innovation, creating a comprehensive B2B post-sales support platform that harnesses conversational data and advanced intelligence. Our mission is to empower our clients to manage their operations seamlessly in real-time.With backing from renowned investors such as a16z, BCV, General Catalyst, and Y Combinator, we are proud to support over 1,000 companies, including Linear, Cognition (creators of Devin), Modal Labs, and Incident.io, in streamlining their customer success workflows with our platform. We are also honored to be featured on the Enterprise Tech 30 List.Your Role and ResponsibilitiesDevelop and integrate security features within the product such as audit logging, RBAC, SCIM, SAML, and more.Oversee security review processes, including SOC 2, ISO 27001, HIPAA compliance, and bug bounty programs.Act as the security expert in pre- and post-sales discussions.Facilitate rapid development while ensuring robust security measures are upheld.Lead projects from customer requests through design to deployment.Who You AreYou have experience in building or shipping security features.You have contributed to security and compliance initiatives in a startup or dynamic environment.You are adept at engaging with customers and clarifying technical decisions.You excel when given autonomy, taking ownership of projects, and managing your own tasks.You are located in San Francisco or are open to relocating, enjoy in-person collaboration, and are committed to fostering a positive workplace culture.You are proficient in technologies such as React, Golang, GraphQL, and AWS.You will be joining a skilled technical team of senior engineers from prestigious companies like Samsara, Affinity, and Airbnb.Perks of Working with Us Comprehensive medical, dental, and vision coverage for employees 401(k) retirement savings plan Commuter benefits Generous parental leave 14 company holidays plus unlimited PTO Annual team offsite

Join Us at Pylon as a Software Engineer - AI AgentsAt Pylon, we are revolutionizing the B2B post-sales landscape. Our comprehensive platform, driven by conversational data and advanced intelligence, empowers businesses to operate seamlessly in real-time.Supported by notable investors such as a16z, BCV, General Catalyst, and Y Combinator, we proudly serve over 1000 companies, including Linear, Cognition, Modal Labs, and Incident.io. Our inclusion in the Enterprise Tech 30 List shines a light on our impact.With a vast problem domain, we are eager to expand our team of talented software engineers to tackle the exciting challenges ahead. Your contributions will directly influence the development of our innovative solutions.Your RoleDevelop and implement the next generation of AI features at Pylon, swiftly adapting based on user feedback.Enhance the quality and efficiency of existing AI functionalities.Are You the Right Fit?If you prefer coding over meetings and value productivity, you might fit right in.Strong engineering fundamentals and efficient coding skills are essential.Autonomy excites you; you enjoy owning details and managing your projects.Located in San Francisco or willing to relocate? We value in-person collaboration as we cultivate a vibrant team culture.Our tech stack includes React, Golang, GraphQL, and AWS.Join a team of experienced engineers from prestigious companies like Samsara, Affinity, and Airbnb.What We Offer Comprehensive medical, dental, and vision coverage for employees 401(k) retirement plan Commuter benefits Parental leave 14 company holidays plus unlimited PTO Annual offsite retreats Meals and snacks provided at the office Fitness stipend

Merge Labs is an innovative research laboratory dedicated to harmonizing biological and artificial intelligence, aiming to enhance human capabilities, autonomy, and overall experience. Our focus is on pioneering groundbreaking brain-computer interface technologies that interact with the brain at high bandwidth, seamlessly integrate with advanced AI systems, and ensure safety and accessibility for all users.About the Team:Our Bio team is at the forefront of designing, constructing, and evaluating the biotechnological foundations necessary for next-generation brain-computer interfaces. We employ a multidisciplinary approach, merging molecular engineering, synthetic biology, neuroscience, and advanced techniques such as ultrasound to create less invasive, high-bandwidth connections with neurons. The Bio team focuses on developing core molecular technologies, validating their efficacy both in vitro and in vivo, and showcasing their advanced capabilities through animal models. We create bespoke experimental setups and workflows, collaborating closely with engineers and data scientists to tackle some of the most demanding challenges in biotechnology.About the Role:As a Research Associate, you will be part of a multidisciplinary team driving critical biological research at Merge Labs, with two distinct tracks:Science-Track RAs engage directly in active scientific programs, collaborating closely with scientists to design, implement, and refine experiments across various fields such as protein engineering, cell biology, synthetic biology, neuroscience, and translational biology. Your experimental work will directly influence experimental decisions, execution, and technical strategies. This track is specifically structured to identify and nurture high-potential early-career scientists, facilitating their progression towards independent scientific roles.Platform-Track RAs focus on developing and maintaining the essential experimental capabilities that support ambitious scientific endeavors at scale. You will collaborate with platform leaders to operate, enhance, and innovate foundational workflows. This track values precision, systems thinking, and profound technical expertise, allowing you to transform delicate or custom experiments into robust, high-quality pipelines that propel the entire organization forward. This track offers a gratifying, long-term career path for individuals who excel in supporting research.In this Role, You Will:Conduct experiments in one or more domains, including:Molecular biology (cloning, CRISPR, etc.)

Who We AreAt Twelve Labs, we are at the forefront of creating innovative multimodal foundation models capable of understanding videos as humans do. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our capabilities and fundamentally changing how we engage with and interpret diverse media formats.Backed by an impressive $107 million in Seed and Series A funding, our organization enjoys support from prestigious venture capital firms including NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, along with visionary leaders in AI such as Fei-Fei Li, Silvio Savarese, and Alexandr Wang. With our headquarters in San Francisco and a significant presence in Seoul, our global reach reflects our dedication to fostering innovation worldwide.We celebrate the individual journeys of our team members, recognizing that our diverse cultural, educational, and life experiences enable us to continuously challenge the status quo. We seek passionate individuals who resonate with our mission and are eager to create a meaningful impact as we expand the horizons of technology to reshape the world. Join us in our quest to revolutionize video comprehension and multimodal AI.About the RoleAs a Senior Backend Software Engineer at Twelve Labs, you will play a pivotal role in developing the server-side infrastructure that powers our new agentic application layer. You'll be an integral part of a small, high-impact team, taking ownership of the essential transition from prototype to a production-ready platform.Travel Requirements: Up to 25% travel to Los Angeles is expected.Candidates should be prepared to travel up to 10% annually for conferences, off-site meetings, and other business-related activities as required. This position may involve participating in on-site interviews and in-person onboarding processes.Your ResponsibilitiesBackend DevelopmentDesign and implement backend services for video processing workflows, including ingestion, transcoding, 4K export, metadata extraction, and timeline operations.Architect scalable and reliable systems to support enterprise-level video workloads using cloud-native infrastructure (AWS, GCP).Develop and optimize APIs that power real-time and asynchronous frontend workflows, focusing on streaming data delivery and long-running job orchestration.Ensure performance and reliability of distributed video processing pipelines, meeting low latency and high throughput requirements.

About Absentia LabsAbsentia Labs is at the forefront of innovation, creating intelligent systems that integrate artificial intelligence, biology, chemistry, and large-scale engineering. Our mission is to convert intricate scientific data into machine intelligence that can reason, generalize, and foster discovery.We tackle the challenges of fragmented, noisy, and interconnected biomedical data, transforming it into a meaningful signal through robust data foundations and well-designed learning systems that are scalable across different modalities, tasks, and uncertainties. This position emphasizes the design and training of such systems.The RoleAs a Senior AI/ML Engineer, you will spearhead the architecture, training, and deployment of large-scale machine learning models that are central to Absentia Labs’ AI initiatives. Your role will bridge model architecture, training systems, and production infrastructure, granting you significant ownership of the technical direction.This position is tailored for engineers experienced in training large models in real-world production settings, who are adept at navigating scale and can analyze both learning dynamics and system constraints.What You’ll DoDesign, train, and evaluate large-scale models, including Large Language Models (LLMs), diffusion models, and Graph Neural Networks (GNNs).Own end-to-end training pipelines, from dataset interfaces and batching strategies to distributed training and checkpointing.Make informed decisions regarding model architecture, objective functions, optimization strategies, and scaling principles.Develop and enhance distributed training systems (data parallelism, model parallelism, sharding, mixed precision).Collaborate closely with data engineers to establish ML-ready datasets and streaming interfaces.Translate vague scientific or product requirements into solid ML solutions.Lead model assessment, ablation, and iteration with a focus on generalization, stability, and reproducibility.Contribute to architectural decisions concerning model serving, inference efficiency, and lifecycle management.Provide technical leadership through design reviews, mentorship, and cross-functional collaboration.Who You AreYou are a senior ML engineer with a holistic approach to models as systems. You comfortably navigate uncertainty, make informed trade-offs between compute, data, and performance, and take ownership of outcomes from research through to deployment.