Staff Solutions Engineer for Public Sector at Twelve Labs

Who We AreAt Twelve Labs, we are at the forefront of innovation, developing state-of-the-art multimodal foundation models that enable video comprehension akin to human understanding. Our models have set new benchmarks in video-language modeling, unlocking more intuitive and expansive capabilities that fundamentally reshape how we engage with and analyze dive…

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 UsAt Twelve Labs, we are at the forefront of innovation, creating advanced multimodal foundation models that enable machines to understand videos in a human-like manner. Our groundbreaking approach to video-language modeling is setting new benchmarks, enhancing our ability to analyze and interact with diverse media formats.With an impressive $107 million in funding from leading venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as visionary AI leaders like Fei-Fei Li and Alexandr Wang, we are strategically positioned to drive global innovation. Our headquarters in San Francisco, along with a significant presence in Seoul, illustrates our commitment to reshaping the future of technology.We celebrate the unique journeys of every individual and believe that our diverse backgrounds fuel our creativity and innovation. We invite passionate individuals who share our mission to join us in transforming video understanding and multimodal AI.Role OverviewUnlike typical video engineering roles that focus primarily on enhancing human playback, at Twelve Labs, we engineer video for machine comprehension. This unique approach prioritizes AI model performance over mere perceptual quality. As the Principal Software Engineer for Video Engineering, you will architect and implement our video processing pipelines, overseeing the entire journey from byte ingestion through to playback. Your work will be pivotal in ensuring our systems are efficient, cost-effective, and tailored for AI-driven video intelligence at scale.Your ResponsibilitiesEnd-to-End Ownership: Lead the design and execution of video pipelines, covering ingestion, decoding, chunking, storage, and playback, applicable to both batch and streaming modes.Codec Expertise: Guide the development of decoding strategies, container format management, and codec implementations, ensuring optimal performance for various video types.

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 UsAt Twelve Labs, we are at the forefront of developing innovative multimodal foundation models capable of understanding videos in a human-like manner. Our state-of-the-art models are setting new benchmarks in video-language modeling, allowing for more intuitive interactions and transformative media analysis.With an impressive $107 million in Seed and Series A funding, we have garnered support from leading venture capital firms like NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as esteemed AI pioneers such as Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters are in San Francisco, complemented by a strong presence in APAC, particularly in Seoul, highlighting our commitment to global innovation.We embrace the individuality of each team member’s journey. The diversity of our cultural, educational, and experiential backgrounds fuels our drive to challenge the norm. We seek passionate individuals eager to contribute to our mission and make a significant impact as we redefine the landscape of technology. Join us in revolutionizing video comprehension and multimodal AI.Role OverviewAs a Senior Staff Software Engineer, you will take charge of the infrastructure and integration layer that ensures Twelve Labs models are seamlessly accessible on partner platforms. Your responsibilities will encompass everything beyond the models, including packaging, validating, deploying model containers, designing API surfaces for various platforms, routing requests, and maintaining production reliability across diverse cloud environments.You will collaborate closely with our Science, Product, and ML Engineering teams to align model and product roadmaps for successful platform integrations. Your expertise in external model orchestration will be pivotal; you will need to comprehend model component functionalities to make informed integration decisions, although model optimization will not be part of your role. Your contributions will significantly enhance our capacity to reliably deliver new model versions and features to users across all platforms.Willingness to travel up to 10% annually for conferences, off-site meetings, and other business-related events is expected. Participation in on-site interviews and/or in-person onboarding processes may also be required.

About UsAt Twelve Labs, we are at the forefront of innovation, developing state-of-the-art multimodal foundation models that enable machines to understand videos in a human-like manner. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our ability to interact with and analyze diverse media forms.With an impressive $107 million in funding from esteemed venture capital firms like NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, along with guidance from AI pioneers such as Fei-Fei Li, Silvio Savarese, and Alexandr Wang, we are dedicated to fostering global innovation from our headquarters in San Francisco and a significant presence in Seoul.We celebrate the unique journeys of our team members, believing that diverse cultural, educational, and life experiences are vital for challenging the status quo. If you are passionate about making a meaningful impact and eager to push the boundaries of technology, we invite you to join us in transforming the world of video understanding and multimodal AI.Role OverviewAs a Staff Product Designer at Twelve Labs, you will play a pivotal role in shaping the design across our comprehensive product landscape, including applications, developer platforms, APIs, and upcoming products that bridge them together. You will face intriguing design challenges such as defining user interactions with AI that processes extensive video content, conceptualizing creative tools that leverage AI's ability to identify story beats, and crafting trustworthy user experiences from probabilistic outputs. Your innovative patterns will not only shape Twelve Labs but also influence how the world engages with video intelligence, potentially rendering traditional video chat obsolete.Your ResponsibilitiesDefine the design language and interaction model across the entire Twelve Labs product ecosystem, including applications, platforms, APIs, branding, and launch materials.Invent new interaction and design patterns suitable for a wide range of contexts, from single frames to entire video corpuses.Engage in relentless prototyping and testing with developers in real-world applications to refine and enhance user experiences.

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 OpenAI as a Research Scientist and explore cutting-edge machine learning innovations. In this role, you will be at the forefront of developing groundbreaking techniques while advancing our team's research initiatives. Collaborate with talented peers across various teams to discover transformative ideas that scale effectively. We seek individuals who are passionate about pushing the boundaries of AI and want to contribute to our unified research vision.

OverviewBecome an integral part of our dynamic R&D team dedicated to developing fully automated research systems that push the boundaries of AI. Zochi has achieved a milestone by publishing the first entirely AI-generated A* conference paper. Locus has set a new industry standard as the first AI system to surpass human experts in AI R&D.Key ResponsibilitiesConceptualize and develop innovative architectures for automated research.Work collaboratively within a specialized team of researchers addressing cutting-edge challenges in long-horizon agentic capabilities, post-training for open-ended objectives, and environment crafting.Document and publish key internal findings alongside success stories from external collaborations.QualificationsPhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline. Outstanding candidates with significant research contributions are encouraged to apply, regardless of formal qualifications.Demonstrated history of impactful AI/ML research contributions in academic or corporate environments.Expertise in developing long-horizon, multi-agent systems and/or model post-training, especially in scientific domains or for open-ended discovery objectives.A strong passion for advancing problem-solving processes and scientific discovery, thriving in high-autonomy roles and environments.Our CultureCompetitive compensation and equity options.Unlimited Paid Time Off (PTO), emphasizing team collaboration and a community-focused workplace.Opportunities for conference participation and engagement in community initiatives.Empowered roles with high levels of responsibility.#1: We are a small, passionate team of leading investors, researchers, and industry experts committed to the mission of accelerating discovery. Join us.

At Merge Labs, we are at the forefront of research, dedicated to uniting biological and artificial intelligence to enhance human capability, autonomy, and overall experience. Our innovative approach focuses on developing revolutionary brain-computer interfaces that offer high-bandwidth interaction with the brain, seamlessly integrate advanced AI, and are designed to be safe and accessible for everyone.About the Team:Our Bio team is responsible for designing, constructing, and characterizing the biotechnologies that underpin the next generation of brain-computer interfaces. By integrating molecular engineering, synthetic biology, neuroscience, and cutting-edge physical methods such as ultrasound, we aim to establish less invasive, high-bandwidth connections with neurons. The Bio team is dedicated to developing our core molecular technologies, validating their performance both in vitro and in vivo, and showcasing their advanced capabilities in animal models. We create custom experimental setups and pipelines while collaborating closely with engineers and data scientists to tackle some of the most challenging problems in biotechnology.About the Role:We are seeking a Senior/Principal Machine Learning Biophysicist to spearhead the creation of scalable molecular dynamics pipelines, integrating physics-based models with machine learning frameworks. You will build the molecular modeling foundations of the company from first principles, establishing tools and workflows for simulating, analyzing, and interpreting biomolecular dynamics to elucidate function relationships. Over time, your contributions will help translate these frameworks into predictive models that expedite molecular engineering, guide experimental campaigns, and facilitate the discovery of highly functional molecules.Key Responsibilities:Develop the scientific and engineering framework for protein structure modeling and molecular dynamics, along with integrations into downstream ML frameworks.Collaborate with wet-lab scientists to establish realistic optimization objectives and encode domain-specific priors and constraints.Prototype modeling frameworks utilizing internal and public datasets; benchmark and validate performance.Make complex analyses accessible to non-domain experts through democratization of first-principles analysis.Lead the development of ML frameworks that explicitly incorporate first-principles priors.Stay abreast of the latest advancements in deep learning and molecular dynamics.

About the TeamJoin the innovative Post-Training team at OpenAI, where we focus on refining and elevating pre-trained models for deployment in ChatGPT, our API, and future products. Collaborating closely with various research and product teams, we conduct crucial research that prepares our models for real-world deployment to millions of users, ensuring they are safe, efficient, and reliable.About the RoleAs a Research Engineer / Scientist, you will spearhead the research and development of enhancements to our models. Our work intersects reinforcement learning and product development, aiming to create cutting-edge solutions.We seek passionate individuals with robust machine learning engineering skills and research experience, particularly with innovative and powerful models. The ideal candidate will be driven by a commitment to product-oriented research.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days in the office each week. Relocation assistance is available for new employees.In this role, you will:Lead and execute a research agenda aimed at enhancing model capabilities and performance.Work collaboratively with research and product teams to empower customers to optimize their models.Develop robust evaluation frameworks to monitor and assess modeling advancements.Design, implement, test, and debug code across our research stack.You may excel in this role if you:Possess a deep understanding of machine learning and its applications.Have experience with relevant models and methodologies for evaluating model improvements.Are adept at navigating large ML codebases for debugging purposes.Thrive in a fast-paced and technically intricate environment.About OpenAIOpenAI is a pioneering AI research and deployment organization dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We are committed to pushing the boundaries of AI capabilities while prioritizing safety and human-centric values in our products. Our mission is to embrace diverse perspectives, voices, and experiences that represent the full spectrum of humanity, as we strive for a future where AI is a powerful ally for everyone.

About Our TeamJoin the forefront of AI innovation with the RL and Reasoning team at OpenAI. Our team is dedicated to advancing reinforcement learning research and has pioneered transformative projects, including o1 and o3. We are committed to pushing the limits of generative models while ensuring their scalable deployment.About the RoleAs a Research Engineer/Research Scientist at OpenAI, you will play a pivotal role in enhancing AI alignment and capabilities through state-of-the-art reinforcement learning techniques. Your contributions will be essential in training intelligent, aligned, and versatile agents that power various AI models.We seek individuals with a solid foundation in reinforcement learning research, agile coding skills, and a passion for rapid iteration.This position is located in San Francisco, CA, and follows a hybrid work model of three days in the office per week. We also provide relocation assistance for new hires.You may excel in this role if:You are enthusiastic about being at the cutting edge of RL and language model research.You take initiative, owning ideas and driving them to fruition.You value principled methodologies, conducting simple experiments in controlled environments to draw trustworthy conclusions.You thrive in a fast-paced, complex technical environment where rapid iteration is essential.You are adept at navigating extensive ML codebases to troubleshoot and enhance them.You possess a profound understanding of machine learning and its applications.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves the greater good for humanity. We strive to push the boundaries of AI system capabilities while prioritizing safe deployment through our innovative products. We recognize AI as a powerful tool that must be developed with safety and human-centric principles, embracing diverse perspectives to reflect the full spectrum of humanity.We are proud to be an equal opportunity employer, welcoming applicants from all backgrounds without discrimination based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic.

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.

Join Our Team as a Research ScientistAt Parallel, we are at the forefront of web infrastructure innovation, enabling businesses across sectors such as sales, marketing, insurance, and technology to harness the power of AI. Our state-of-the-art products empower users to develop superior AI agents with seamless and flexible access to the web.With significant backing of $130 million from prominent investors like Kleiner Perkins, Index Ventures, and Spark Capital, we are dedicated to redefining the web for artificial intelligence. As we expand, we're assembling a top-tier team of engineers, designers, marketers, sales experts, researchers, and operational specialists committed to our vision.Your Role: As a Research Scientist, you will tackle the challenge of training and scaling models designed to enhance web indexing capabilities.About You: You possess a profound understanding of contemporary models and training methodologies. You enjoy engaging in discussions about the convergence of search, recommendations, and transformer models, and are passionate about translating your research into impactful products and systems utilized by millions.

About Ditto Ditto builds technology that keeps data moving reliably, even when networks are unreliable or unavailable. Developers use Ditto’s peer-to-peer synchronization engine to power real-time applications for places where connectivity is a challenge: stadiums, aircraft, and remote military bases. Trusted by organizations such as Chick-fil-A, Delta Airlines, and the U.S. military, Ditto supports mission-critical operations across aviation, retail, travel, hospitality, and defense. The company has raised over $145 million and continues to grow globally, with a strong commitment to diversity and inclusion. Role Overview: Senior Software Engineer – Public Sector This Senior Software Engineer (Forward Deployed Engineer) position focuses on supporting Ditto’s public sector users. The role centers on collaborating directly with key users, integrating Ditto’s technology into operational environments, and ensuring rapid, effective deployments. The engineer acts as a technical leader in the field, solving complex problems as they arise and serving as a bridge between users and Ditto’s core engineering team. Adaptability and comfort with ambiguity are essential, as is the ability to resolve issues quickly in high-stakes situations. What You Will Do ATAK Plugin Development: Lead the design, creation, and field deployment of custom ATAK (Android Team Awareness Kit) plugins. These plugins embed Ditto’s data synchronization into the primary situational awareness tools used by warfighters. Android-Native Integrations: Build and optimize Android applications and services for tactical end-user devices. Ensure these solutions work reliably in disconnected, intermittent, and low-bandwidth (DIL) conditions. Integration Architecture: Design the full integration between Ditto’s platform and the broader TAK ecosystem. Define data contracts, API boundaries, and synchronization patterns to enable smooth interoperability with third-party systems and services. Real-Time Issue Resolution: Serve as the first line of technical support, diagnosing and fixing application, integration, and data-flow issues as they happen in the field. Location Remote, with preference for candidates based in Atlanta, Austin, San Francisco, or Seattle.

Zyphra is a pioneering artificial intelligence firm located in the vibrant city of San Francisco, California.About the Role:We are seeking a passionate Research Scientist to join our dynamic Agency and Reasoning Team at Zyphra. In this role, you will conduct cutting-edge research in reinforcement learning, post-training methodologies, and human preference learning. Your innovative ideas will be instrumental in shaping our next-generation language models, enabling their application on a large scale.What We Desire:A strong sense of research intuition and tasteCapability to navigate a research project from initial concept to execution and documentationProficiency in implementation and prototypingA quick thinker who can rapidly transform ideas into experimental frameworksAbility to collaborate effectively in a fast-paced research environmentAn insatiable curiosity and enthusiasm for the study of intelligence.Qualifications:Proven experience and skill in reinforcement learning, particularly in the context of language model reasoning or classical RL tasksFamiliarity with language-model-supervised fine-tuning and preference-learning techniques, such as DPO and simPO.Experience with methods for context-length extensionStrong intuitive understanding of model behaviors, with the ability to refine them through iterative fine-tuningInterest in engaging deeply with data and dedicating time to data engineering and synthetic data generationA postgraduate degree in a scientific discipline (Computer Science, Electrical Engineering, Mathematics, Physics)Published research in reputable machine learning venuesExpertise in PyTorch and PythonEagerness and aptitude for rapidly acquiring new knowledge and implementing innovative conceptsExceptional communication and teamwork abilities, capable of contributing to both research and large-scale engineering effortsWhy Join Zyphra?We champion creative and unconventional ideas and are prepared to invest significantly in innovative concepts.Our culture fosters collaboration, curiosity, and intellectual growth.

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.

About Multiply LabsMultiply Labs is an innovative startup located in San Francisco, California, backed by leading investors in technology and life sciences, including Casdin Capital, Lux Capital, and Y Combinator. Our vision is to create the finest robots globally and leverage them to make groundbreaking life-saving therapies widely accessible.We are transforming the landscape of cell therapy manufacturing through the development of sophisticated robotic systems aimed at automating and scaling the production of these critical treatments. Our robotics solutions enable biopharma companies to produce cell therapies efficiently, minimizing alterations to their existing processes and mitigating regulatory hurdles and risks. Traditional methods are often labor-intensive and costly (averaging over $1M per patient), while our robotic approach enhances accessibility and affordability for patients in need.To discover more about us and see our robots in action, visit www.multiplylabs.com and follow us on LinkedIn.About the RoleAt Multiply Labs, we harness the power of AI to address intricate manipulation challenges within robotic cell therapy manufacturing. We are seeking a Research Scientist with expertise in robotic manipulation to spearhead the development of the next generation of our intelligent robotic systems.In this role, you will engage in pioneering research and the practical implementation of systems focused on dexterous and mobile manipulation. You will collaborate closely with a diverse team and play a crucial role in our mission to manufacture life-saving therapies at scale.

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 UsAt TwelveLabs, we are at the forefront of innovation, developing advanced multimodal foundation models that enable video comprehension akin to human understanding. Our groundbreaking models are revolutionizing video-language modeling, enhancing our capabilities and fundamentally changing media interaction and analysis.With a robust backing of $107 million from prestigious venture capital firms including NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, as well as renowned AI pioneers like Fei-Fei Li and Alexandr Wang, we are headquartered in San Francisco with a significant presence in the APAC region, particularly in Seoul. Our global operations reflect our dedication to fostering innovation worldwide.We celebrate the unique journeys of every individual, recognizing that our diverse cultural, educational, and life experiences empower us to challenge norms continuously. We seek passionate individuals who resonate with our mission and are eager to contribute to transformative advancements in technology. Join us in redefining video understanding and multimodal AI.Team OverviewThe Field Engineering team at TwelveLabs plays a crucial role in the effective deployment of our video understanding APIs for developers and enterprises. Acting as trusted advisors, we help our customers maximize the value derived from our multimodal models and products.Within this team, the Solutions group aims to accelerate the sales process for high-impact clients, collaborating closely with Sales to communicate technical value, design impactful proof-of-concepts, and illustrate how our platform addresses critical business challenges.Role OverviewWe are seeking a Solutions Engineer to facilitate the exploration and validation of the transformative potential of video AI among prospects. As a technical expert during the sales cycle, you will collaborate with Account Executives to assess opportunities, define use cases, create and implement proof-of-concepts, and showcase the business value of our multimodal foundation models.You will provide technical guidance throughout the sales process, working in tandem with Sales, Product, Partnerships, and Engineering teams.This role is designed for a self-motivated and innovative individual who thrives in a fast-paced, evolving landscape.This position is fully remote.