Engineering Manager, Multimodal (API)

About Our Team:At OpenAI, we are dedicated to ensuring that artificial general intelligence (AGI) serves the greater good of humanity. Our API has emerged as the most widely embraced AI platform in the industry, catering to a diverse clientele ranging from startups and independent developers to Fortune 500 companies. By leveraging our multimodal APIs—which e…

Zyphra is a cutting-edge artificial intelligence firm located in the heart of San Francisco, California, dedicated to advancing technology across various modalities.About the Position:We are seeking a Data Engineer - Multimodal Systems to play a pivotal role in the enhancement and expansion of Zyphra's datasets and data pipelines. This position offers a unique opportunity to collaborate with diverse teams and contribute to innovative data solutions. You will engage in the collection of extensive datasets and the development and optimization of high-performance parallel data pipelines.Your Responsibilities Will Include:Executing large-scale data collection across multiple modalities, including text, audio, and image.Designing and implementing highly efficient, parallelized data processing pipelines that integrate various modalities.Conducting rigorous experimental ablations to evaluate the effectiveness of new data enhancements.Candidate Requirements:Proven ability in implementation and prototyping.Capability to transform ideas into experimental frameworks swiftly.Strong collaborative skills, thriving in a dynamic research environment.Eagerness to learn and apply new concepts effectively.Exceptional communication and teamwork skills, capable of contributing to both research and large-scale engineering projects.Preferred Qualifications:Experience in the collection, management, and processing of large datasets.Familiarity with parallel programming frameworks in Python, such as Dask.In-depth understanding of state-of-the-art dataset curation practices.A detail-oriented mindset with a passion for data integrity and verification.Strong foundation in experimental methodologies for conducting thorough ablation studies and hypothesis testing.Knowledge and interest in large-scale, highly parallel data processing systems.Proficiency in PyTorch and Python.Experience with large, complex codebases and the ability to quickly become productive within them.Published research in respected machine learning venues.Postgraduate degree in a relevant field is a plus.

Eventual Computing builds tools that help AI teams work with large, complex datasets. Based in San Francisco, the company supports projects in robotics, autonomous vehicles, and advanced video generation. Its open-source engine, Daft, is already in use at organizations with demanding data needs. The team focuses on making data curation and model training more efficient, so the right datasets are always within reach. The office is located in the Mission district, where collaboration with leading AI labs and infrastructure companies is part of daily work. Role overview The Research Engineer - Multimodal Data will join the Visual Understanding team. This position centers on building solutions to make vast amounts of video and sensor data accessible and easy to query. The work directly supports researchers who need to find and use specific datasets quickly. What you will do Develop and refine systems that process petabytes of multimodal data, including video and sensor streams. Apply vision-language models to improve how data is discovered and retrieved. Define and influence the roadmap for visual understanding features. Train models to streamline large-scale data annotation and improve efficiency for research teams.

The Bot CompanyAt The Bot Company, we are on a mission to create an innovative robotic assistant for every household.Our dynamic team, composed of talented engineers, designers, and operators, is based in San Francisco. We have a rich background from industry leaders such as Tesla, Cruise, OpenAI, Google, and Pixar, and we have successfully delivered products to hundreds of millions of users, honing our ability to create exceptional products and experiences.We pride ourselves on maintaining a streamlined team structure that fosters swift decision-making and minimizes bureaucracy. Each member is considered an Individual Contributor, granted substantial autonomy, ownership, and accountability. Our culture enables us to work across the technology stack with an emphasis on rapid iteration and execution.What We Seek in CandidatesCandidates for all positions at The Bot Company must exhibit remarkable sharpness and the capacity to thrive in high-pressure environments. We expect candidates to showcase:Exceptional Cognitive Abilities: You possess quick thinking, instant learning capabilities, and the ability to reason across diverse domains.Engineering Curiosity: You demonstrate an innate desire to understand how systems function, even beyond your area of expertise.Performance-Driven Attitude: You excel in fast-paced settings, effectively navigate ambiguity, and thrive under demanding circumstances.Machine Learning: Multimodal Foundation ModelsWe are developing unified foundation models capable of reasoning across text, images, video, and kinematics to inform intelligent robotic behaviors.You will engage with large-scale multimodal networks, overseeing the complete process from data handling to model training and deployment.Your ResponsibilitiesConstruct Native Multimodal Policies: Create architectures where vision, language, and other modalities are represented in a unified manner.Enhance Cross-Modal Reasoning: Explore and implement strategies to ensure that the model not only correlates modalities but also comprehends them (e.g., linking visual physics to kinematic constraints).Manage the Training Loop from Start to Finish: Design, execute, troubleshoot, and refine large-scale training experiments; identify failure points, enhance data mixtures, and tighten evaluations to achieve measurable improvements.Deploy and Refine Real Systems: Integrate models into practical robotic frameworks, enhance robot code for model deployment, and optimize performance for edge inference.

Join worldlabs as a Research Engineer focused on scaling multimodal data. In this dynamic role, you will leverage cutting-edge technologies and methodologies to enhance data processing capabilities. You will be responsible for developing innovative solutions that integrate various data types and drive impactful research outcomes.

About Hike Medical Hike Medical is building the future of musculoskeletal care by combining advanced technology with practical healthcare solutions. Based in San Francisco’s Rincon Hill, the team develops a platform that spans three core areas: an AI-powered vision system for rapid web-based foot scans that generate custom 3D-printed orthotics, an AI agent platform that manages the entire DME workflow from intake through claims, and SoleForge, a high-scale 3D printing facility for custom medical devices. Hike Medical partners with some of the world’s largest employers and major orthotics and prosthetics organizations. Fortune 50 companies trust the platform to support employee well-being, and a broad network of clinical partners keeps the company connected to real-world needs. Custom insoles are just the starting point. The long-term goal is to reshape the industry with bionic devices: AI-designed, robotically manufactured orthotic and prosthetic products. The company aims to reach this milestone by 2040. Learn more at bionics2040.com. With $22 million raised across Seed and Series A rounds from leading investors, Hike Medical offers a results-oriented culture for those interested in the intersection of AI, manufacturing, and healthcare.

Join VOLT, a trailblazer in crafting advanced AI perception systems that enhance safety and security through real-time risk detection in the physical world.We are on the lookout for a Senior Applied AI & Machine Learning Engineer dedicated to designing, optimizing, and deploying multimodal AI models capable of functioning reliably in diverse real-world scenarios. This is a hands-on role focused on transitioning models from conceptual data to practical production, encompassing both edge devices and cloud infrastructures.In this position, you will engage with vision, video, and language-based models that interpret real-world scenes and events, ensuring their accuracy, latency, robustness, and cost-effectiveness in production systems.Reporting directly to the Head of Engineering, you will play a pivotal role in advancing VOLT AI’s core perception platform.

About Our TeamJoin a dynamic group that is dedicated to delivering OpenAI’s cutting-edge technology to developers globally through our robust developer platform, the OpenAI API. As the foremost AI development platform, our API is utilized by millions of developers and leading enterprises worldwide, powering a majority of the AI applications you encounter daily. Our latest innovations include gpt-5, gpt-realtime, Responses API, Agents SDK, and much more.About the PositionWe are seeking a passionate Software Engineer who will take ownership of our API designs. Our API is integral to our product, and we approach its design and development with meticulous care and intent. Every endpoint, field name, and enum value is a crucial part of the product interface that we strive to perfect. We want engineers who not only excel at creating APIs but also appreciate the nuances of exceptional API design. In this pivotal role, you will significantly influence the future development of the OpenAI API through both design and implementation.Key Responsibilities:Design and create innovative products for our API, including extending existing endpoints, adding new ones, or reimagining our entire API suite.Take a lead role in our API Review process, collaborating with various teams to ensure our APIs meet the highest design standards.Work closely with the API team, Developer Experience team, and Go-To-Market (GTM) team to elevate our APIs to global excellence.You Will Excel In This Role If You:Have a keen eye for API design and recognize the difference between well-crafted and poorly constructed APIs.Thrive in a fast-paced environment where you can work independently with ambiguous goals and requirements.Enjoy building tools for fellow developers and value constructive feedback from discerning users.Are fundamentally an engineer but also willing to engage in product decision-making.View APIs as ladders that empower users.About OpenAIOpenAI is at the forefront of AI research and deployment, committed to ensuring that general-purpose artificial intelligence benefits all of humanity. We continuously push the limits of AI capabilities while prioritizing safe and ethical deployment to maximize positive impact.

About TavusTavus is at the forefront of innovation in human computing. Our mission is to develop AI Humans: an advanced interface that bridges the gap between individuals and machines, eliminating the friction found in current technologies. Our state-of-the-art human simulation models empower machines to see, hear, respond, and even exhibit realistic appearances—facilitating genuine, face-to-face interactions. AI Humans integrate the emotional insight of humans with the scalability and dependability of machines, making them reliable agents accessible 24/7, in any language, on our terms.Imagine having access to an affordable therapist, a personal trainer that fits your schedule, or a team of medical assistants dedicated to providing personalized care for every patient. With Tavus, individuals, enterprises, and developers have the tools to create AI Humans that connect, comprehend, and act with empathy on a large scale.We are a Series A company supported by esteemed investors such as Sequoia Capital, Y Combinator, and Scale Venture Partners.Join us in shaping a future where machines and humans genuinely understand one another.The PositionWe are seeking an AI Researcher to join our core AI team and advance the frontiers of multimodal conversational intelligence. If you excel in dynamic environments, enjoy transforming abstract concepts into functional code, and derive motivation from pushing the boundaries of possibility, this role is designed for you.Your Responsibilities Engage in research focusing on Foundational Multimodal Models specifically in the realm of Conversational Avatars (such as Neural Avatars and Talking-Heads).Develop models for video, audio, and language sequences utilizing Autoregressive and Predictive Architectures (e.g., V-JEPA) and/or Diffusion methodologies, with a focus on temporal and sequential data rather than static images.Collaborate closely with the Applied ML team to implement your research into production systems.Remain at the forefront of multimodal learning and assist us in defining what “cutting edge” will mean in the future.Ideal Candidate ProfilePhD (or nearing completion) in a relevant field, or equivalent practical research experience.Experience in multimodal machine learning, particularly focused on conversational interfaces.

Bland Inc. seeks a Machine Learning Researcher specializing in Multimodal Large Language Models (LLMs) to join the team in San Francisco. The focus is on advancing AI systems that integrate language with other types of data. Role overview This position centers on research and development aimed at improving how AI models process and understand information from multiple sources, such as text combined with images or other modalities. What you will do Investigate how language interacts with additional data types within multimodal LLMs Create and evaluate new methods to enhance AI model performance Work closely with colleagues on projects designed to push the boundaries of machine learning Location This role is based in San Francisco.

Our MissionAt Altos Labs, we are dedicated to revitalizing cell health and resilience through innovative cell rejuvenation techniques to reverse disease, injury, and the disabilities that arise throughout life.Discover more about our vision at altoslabs.com.Our ValuesOur core value is simple yet powerful: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe understand that diverse perspectives are crucial for scientific breakthroughs and exploration. At Altos, exceptional scientists and industry leaders collaborate from around the globe to drive our shared mission forward. We prioritize a culture of belonging, ensuring that every employee feels valued for their unique contributions. We are all responsible for maintaining a diverse and inclusive workplace.Your Contributions to AltosJoin Altos Labs in creating a premier AI ecosystem aimed at addressing the most intricate challenges in human biology. You will be instrumental in designing and developing high-performance, scalable solutions that integrate high-dimensional biomedical imaging with molecular and linguistic data.Your role will involve implementing large-scale multimodal data fusion, advancing beyond basic image analysis to develop predictive models that span various biological domains. You will engage directly with data and coding, partnering with our engineering team to ensure these models are scalable, efficiently trainable in distributed cloud environments, and accessible to our global research network.Key ResponsibilitiesModel Development: Create, implement, and train large-scale foundational models (e.g., Vision Transformers, Multimodal LLMs) capable of embedding spatial data and integrating diverse modalities.Innovative Data Fusion: Apply cutting-edge cross-domain mapping and fusion techniques to align heterogeneous biological datasets.Scaling & Training: Develop and oversee high-performance ML pipelines designed to handle petabyte-scale image collections and multi-omics data streams in a cloud infrastructure.Technical Collaboration: Work closely with experimental scientists and software engineers to convert biological complexity into high-performance code and reliable distributed systems.Who You AreWe seek a technical expert who excels at unraveling "unsolvable" challenges through programming and meticulous experimentation. We welcome candidates at the Scientist I, Scientist II, or Senior Scientist levels.

Join Convex in Revolutionizing Application Development!At Convex, we are on a mission to revolutionize the way developers build applications by enabling them to create fast, reliable, and dynamic apps without the need for a backend team. Our innovative full-stack app platform is meticulously crafted with database, compute, and backend abstractions, allowing developers and LLMs to rapidly innovate while ensuring scalability and simplicity throughout the product lifecycle.Meet Our Team:Our team comprises talented engineers who have built and designed some of the world’s most extensive backends, handling exabytes of data and millions of transactions per second, while also delivering desktop and mobile software across billions of devices. We pride ourselves on our friendly, collaborative, and passionate culture, thriving in our San Francisco office.The Opportunity:As a key player in our backend platform, you will enhance our standout client API and developer experience. We have dedicated significant resources to perfecting our client libraries, development APIs, and sync protocol, ensuring that Convex is a delight for application developers. We are looking to grow our team to advance the next iteration of the Convex API and redefine the modern application stack.If you are an experienced TypeScript developer with a passion for elegant API design and recognize the importance of robust platforms in the age of AI development, we want to hear from you!Your Responsibilities:Design, develop, and maintain Convex’s client libraries, sync protocol, and query APIs.Stay updated with new frameworks and technologies within the app development landscape.Gain insights into effective abstractions that scale and integrate seamlessly within our stack to create libraries that are user-friendly and maintainable.Work autonomously to prioritize impactful projects while collaborating closely with the engineering team and CTO (hi! I'm James).Contribute to establishing best practices and design guidelines as our team and systems expand.Write engaging and innovative client library code.

ABOUT BASETENAt Baseten, we are at the forefront of AI innovation, providing critical inference solutions for leading AI companies like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. Our platform combines advanced AI research, adaptable infrastructure, and intuitive developer tools, empowering organizations to deploy state-of-the-art models effectively. With rapid growth and a recent $300M Series E funding round backed by top-tier investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we invite you to join our mission in building the platform of choice for engineers delivering AI products.THE ROLE:As a member of Baseten’s Model Performance (MP) team, you will play a pivotal role in ensuring our platform’s model APIs are not only fast and reliable but also cost-effective. Your primary focus will be on developing and optimizing the infrastructure that supports our hosted API endpoints for cutting-edge open-source models. This role involves working with distributed systems, model serving, and enhancing the developer experience. You will collaborate with a small, dynamic team at the intersection of product development, model performance, and infrastructure, defining how developers interact with AI models on a large scale.RESPONSIBILITIES:Design, develop, and maintain the Model APIs surface, focusing on advanced inference features such as structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multi-modal serving.Profile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, create custom CUDA operators, and enhance memory allocation patterns for maximum efficiency across multi-GPU setups.Implement performance improvements across various runtimes based on a deep understanding of their internals, including speculative decoding, guided generation for structured outputs, and custom scheduling algorithms for high-performance serving.Develop robust benchmarking frameworks to evaluate real-world performance across diverse model architectures, batch sizes, sequence lengths, and hardware configurations.Enhance performance across runtimes (e.g., TensorRT, TensorRT-LLM) through techniques such as speculative decoding, quantization, batching, and KV-cache reuse.Integrate deep observability mechanisms (metrics, traces, logs) and establish repeatable benchmarks to assess speed, reliability, and quality.

Join our innovative team at Lambda as a Senior Software Engineer specializing in API development. In this pivotal role, you will leverage your extensive technical expertise to design, implement, and optimize robust APIs that enhance our software solutions. Collaborate with cross-functional teams to deliver high-quality products that meet our customers' needs.

Role overview OpenAI seeks a Machine Learning Engineer to focus on API development in multicloud settings. This role is based in San Francisco and centers on advancing the capabilities of API products across different cloud providers. What you will do Use advanced machine learning techniques to enhance API offerings Collaborate with colleagues from various specialties to launch new features and refine existing ones Support ongoing improvements and innovation for API services that operate across multiple cloud environments

About the Team:Join the OpenAI API team, where we empower developers to leverage OpenAI’s models in a secure, reliable, and scalable manner. Our objective is to simplify the process for developers to create groundbreaking products using our AI models. We manage the foundational infrastructure and product layers that facilitate millions of developers in integrating our models, fine-tuning behaviors, managing data, and providing exceptional user experiences. Collaborative efforts across product, research, and engineering teams fuel our drive for innovation and translate directly into customer value.About the Role:As the API Agents Product Manager, you will play a pivotal role in shaping the future of agent applications built on our AI models. You will prioritize initiatives and spearhead enhancements to model capabilities, skillfully balancing user requirements, safety protocols, and technical advancements. This position is ideal for a proactive, tech-savvy PM who enjoys tackling complex, ambiguous challenges through structured product strategies and close collaboration with clients, engineers, and researchers.This position is located in San Francisco, CA, and we offer relocation assistance.Your Responsibilities Include:Gain deep insights into the challenges faced by agent builders, identifying opportunities for our products and models to expedite the development of agents.Establish strategic priorities and a roadmap aimed at enhancing agentic infrastructure for API users, with a focus on user outcomes and new capabilities.Collaborate technically with research and engineering teams to translate priorities into developer products and features (SDKs, APIs, etc.).Deliver swiftly while upholding high standards for product quality and user experience.Ideal Candidate Traits:5+ years of product management or equivalent industry experience.Demonstrated success in developing for developers, with a keen sense for designing intuitive, scalable APIs and primitives from initial experimentation to production.Experience working closely with high-growth tech companies.Hands-on experience driving product initiatives in dynamic environments.

Join Anthropic as a Product Manager focused on API Growth! In this role, you will drive the development and expansion of our API products, ensuring they meet customer needs and align with our strategic goals. You will collaborate with cross-functional teams, including engineering, design, and marketing, to create innovative solutions that enhance user experience and drive engagement. Your insights will be critical in shaping the future of our API offerings.

At Perplexity, we're revolutionizing the way individuals search, reason, and engage with information. Our API team is pivotal to this mission, crafting and managing high-performance interfaces that connect Perplexity’s intelligence with developers, enterprises, and products globally. This team is responsible for the architecture, reliability, and security of the APIs that fuel everything from real-time LLM queries to large-scale enterprise integrations.In the role of Staff Backend Engineer, you will play a crucial part in shaping the technical backbone of Perplexity’s external platform. You will design distributed systems, enhance performance at scale, and establish engineering standards to ensure our APIs are swift, dependable, and enjoyable for developers to work with.

At Scribd, Inc., we are dedicated to enhancing human understanding through our innovative products — Scribd®, Slideshare®, Everand™, and Fable — which empower billions around the world to transform access into knowledge, application, and expertise.Culture at Scribd, Inc.We foster a bold and authentic culture that encourages open debate and commitment, allowing our employees to embrace challenges and prioritize customer satisfaction. We believe that optimal performance arises from a balance of individual flexibility and meaningful community connection.Our Scribd Flex program enables team members to select work styles and locations that enhance their productivity, while also committing to intentional in-person interactions that promote collaboration and a vibrant company culture. All employees, regardless of their location, are required to attend occasional in-person meetings.What do we seek in our new hires? At Scribd, Inc., we value “GRIT.” This concept, reflecting the intersection of passion and perseverance toward long-term goals, forms the core of our expectations for every employee. It also serves as a practical framework for our work: achieving Goals, delivering Results, contributing Innovative ideas and solutions, and strengthening our Team through collaboration and positive attitudes.About the TeamOur Web Platform team is a vital part of the Developer Platform organization, driving our company-wide web modernization initiatives.Our mission is to empower product teams by providing a scalable and well-architected API foundation that supports modern web architectures. We collaborate across teams to minimize dependencies, enhance developer experience, and establish robust integration patterns between frontend and backend systems.With a high degree of autonomy and a long-term vision, the platform we develop will influence how teams design, deploy, and evolve our web products.About the RoleWe are actively seeking a Senior Software Engineer for the Web API Platform to contribute to the establishment of a company-wide API platform that accelerates web modernization at Scribd.

We are seeking a highly skilled Senior Staff Software Engineer specializing in API development to join our dynamic team at Anthropic. In this role, you will have the opportunity to leverage your expertise to design and implement cutting-edge APIs that will enhance our products and services.As a key member of our engineering team, you will collaborate closely with cross-functional teams to understand customer needs and translate them into scalable and efficient solutions. You will be responsible for ensuring that our APIs are robust, secure, and user-friendly.