Research Communications Manager Jobs

About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team builds the data, environments, graders, training methods, and feedback loops that shape what OpenAI’s next agents can do and what they are like to work with, then carries those improvements through major training runs and into products used by people every day. About the Role As a member of the Agent Post-training Personality team, you will help make OpenAI’s agents exceptional collaborators. You will study what makes an agent thoughtful, clear, perceptive, appropriately proactive, and genuinely easy to work with, then translate those insights into evals, training data, reward signals, and model improvements. We use “personality” to mean much more than writing style or general likability. It includes whether an agent understands what the user is trying to accomplish, communicates with good judgment, adapts to context, asks useful questions, handles disagreement honestly and takes initiative at the right moments. The goal is to create a strong, tasteful default that can adapt to different people and situations. This work combines behavioral research, product thinking, research and communication taste. You will collaborate with product teams, human experts, and researchers across post-training and pretraining to ensure that improvements survive the full trai

Why Work with Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure. Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the development of advanced deep learning models. You will conduct rigorous, systematic research to pioneer advanced methodologies, uncover sophisticated insights, and implement innovative approaches within our teams. What We’re Looking For We seek talented and knowledgeable problem-solvers with strong backgrounds in deep learning to come build with us. No financial knowledge is expected. Deep Learning Researcher candidates should have demonstrated strong applied research and critical analysis skills. We value team members who communicate clearly and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit, research-driven environment excites you, we’d love to get to know you. The ideal candidate will possess most of the following: PhD degree in computer science or a related field Mastery of deep learning techniques and proven track record of building sophisticated predictive models using deep learning Publications in relevant journals and/or conference presentations Strong programming skills, including mastery of Python Strong problem-solving skills and research acumen Strong communication skills to articulate complex technical concepts Experience working with large data sets and computationally intensive projects Experience with high-performance computing Job Compensation Range The base salary range for this role is prorated and based on a full-time salary range of $200,000 -

Why Work with Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure. Your Role Our Quantitative Researchers are the intellectual architects of our trading strategies, responsible for developing sophisticated models that transform complex data sets into actionable insights. You will apply rigorous statistical and machine-learning methodologies to diverse financial datasets, develop innovative approaches to understanding risk and returns, and design strategy frameworks leveraging first principles from economics and other fields. What We’re Looking For We seek ambitious and talented problem-solvers with strong quantitative backgrounds. No financial knowledge is expected. Quantitative Researcher candidates should have demonstrated capability in conducting cutting-edge research and analysis. We value team members who communicate clearly, have strong critical analysis skills, and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit setting excites you, we’d love to get to know you. The ideal candidate will possess most of the following: PhD, master’s, or bachelor’s degree in computer science, statistics, physics, or a related quantitative field Proven track record developing sophisticated predictive models Strong programming skills, including mastery of Python for data analysis Knowledge of statistical and machine learning modeling frameworks Strong problem-solving skills and research acumen Strong communication skills to articulate complex technical concepts Experience working with large data sets and computationally intensive projects Jo

Why Work With Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure. Your Role Our Quantitative Researchers are the intellectual architects of our trading strategies, responsible for developing sophisticated models that transform complex datasets into actionable insights. You will apply rigorous statistical and machine-learning methodologies to diverse financial datasets, develop innovative approaches to understand risk and returns, and design strategy frameworks leveraging first principles from economics and other fields. What We’re Looking For We seek ambitious and talented problem-solvers with strong quantitative backgrounds. No financial knowledge is expected. Quantitative Researcher candidates should have demonstrated capability in conducting cutting-edge research and analysis. We value team members who communicate clearly, have strong critical analysis skills, and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit setting excites you, we’d love to get to know you. The ideal candidate will possess most of the following: PhD, master’s, or bachelor’s degree in computer science, statistics, physics, or a related quantitative field Intellectual curiosity and passion to uncover the inner workings of the global markets Proven track record developing sophisticated predictive models Strong programming skills, including mastery of Python for data analysis Knowledge of statistical and machine learning modeling frameworks Strong problem-solving skills and research acumen Strong communication skills to articulate complex technical concepts Exper

Why Work with Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure. Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the development of advanced deep learning models. You will conduct rigorous, systematic research to pioneer advanced methodologies, uncover sophisticated insights, and implement innovative approaches within our teams. What We’re Looking For We seek talented and knowledgeable problem-solvers with strong backgrounds in deep learning to come build with us. No financial knowledge is expected. Deep Learning Researcher candidates should have demonstrated strong applied research and critical analysis skills. We value team members who communicate clearly and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit, research-driven environment excites you, we’d love to get to know you. The ideal candidate will possess most of the following: PhD degree in computer science or a related field Mastery of deep learning techniques and proven track record of building sophisticated predictive models using deep learning Publications in relevant journals and/or conference presentations Strong programming skills, including mastery of Python Strong problem-solving skills and research acumen Strong communication skills to articulate complex technical concepts Experience working with large data sets and computationally intensive projects Experience with high-performance computing Job Compensation Range The base salary range for this role is $200,000 - $300,000. This does not include other forms of co

Overview: Guidepoint Insights enables clients to make better-informed decisions through investor-grade surveys, expertly moderated teleconferences, and a growing transcript library. Our team combines former investment professionals, equity research analysts, industry veterans, and scientists to generate content that drives actionable healthcare research. We are looking to add Healthcare Content Analysts, Focus Polls to our team. This role is fundamental to the development, analysis, and presentation of Guidepoint’s healthcare surveys. Healthcare Content Analysts collaborate with analysts to translate investment questions, product catalysts, and healthcare market developments into clear, neutral, and analytically rigorous surveys. The ideal candidate combines strong healthcare research and scientific communication skills with analytical rigor and the ability to develop high-quality surveys and translate quantitative findings into clear, actionable insights for an investment audience What You’ll Do: Independently develop standardized and repeat survey questionnaires using approved templates, historical surveys, company materials, and relevant research Research drugs, medical devices, procedures, companies, treatment markets, and other healthcare topics necessary to develop high-quality surveys Review and validate expert survey responses for inconsistencies, outliers, and potential data-quality issues Analyze survey results to identify adoption trends, utilization patterns, market-share shifts, and competitive dynamics Translate quantitative survey findings into investor-ready charts, presentations, and concise, actionable takeaways Identify potential survey topics based on product launches, clinical and regulatory catalysts, earnings, industry developments, prior survey performance, and emerging investment debates Contribute to the development and the ongoing build-out of Guidepoint’s healthcare knowledge base What You Have: Master’s degree in Life Sciences, Public He

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Computer Use team focuses on teaching Claude to see, use, and understand computer interfaces. As a Research Engineer on the team, you'll work on advancing our models' ability to reliably and safely operate real software. We're looking for someone who's genuinely excited about both the research and the product sides of computer use. Your work will translate directly into model improvements in our own and our customers' products. You can try Claude's computer use capabilities today through the Claude in Chrome extension and Claude Cowork. Key Responsibilities: Design and run experiments to improve Claude's perception and agentic capabilities Develop robust, reliable evaluation frameworks for measuring our models' ability to complete complex computer tasks Build and improve computer use and vision reinforcement learning training environments Create pipelines and tools to test and validate complex RL environments Collaborate with teams across the model training and infrastructure stack to improve our production training setup Partner with product teams to bring research advances into production Minimum Qualifications: Software engineering experience and proficiency in Python Experience training, fine-tuning, or evaluating machine learning models Strong communication skills and a collaborative working style Care about the societal impacts and safety of your work Preferred Qualifications: Experience training models for computer use or other agentic capabilities Experience with reinforcement learning, particularly in long-horizon or sparse-reward settings Familiarity with multimodal model training Experience building evalu

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role As a Research Scientist, you will join a team of 40+ researchers and engineers in our R&D department, working on the frontier of generative AI with a focus on avatar-centric, interactive video diffusion models. This is a unique opportunity for experts in machine learning and diffusion models to shape the future of AI video agents that listen, respond, and react like humans. As part of our Interactive Avatars team, you'll build models that hold natural, real-time conversations: understanding what a user says and how they say it, then responding with appropriate turn-taking, backchannels, gaze, and facial and body reactions. You'll join a team that moves fast, iterates often, and turns breakthrough research into product capabilities that ship. What you'll do Contribute to the research direction for dyadic interaction modeling, and own well-scoped research problems end to end. Advance the state of the art in the perceptual layer of interactive agents, including understanding user audio and video and generating contextually appropriate reactions. Post-train multimodal models to generate rich, natural dyadic interactions from user audio and video inputs. Adapt diffusion models to new conditioning s

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role As a Staff Research Scientist, you will join a team of 40+ researchers and engineers in our R&D department, working on the frontier of generative AI with a focus on avatar-centric, interactive video diffusion models. This is a unique opportunity for experts in machine learning and diffusion models to shape the future of AI video agents that listen, respond, and react like humans. As part of our Interactive Avatars team, you'll build models that hold natural, real-time conversations: understanding what a user says and how they say it, then responding with appropriate turn-taking, backchannels, gaze, and facial and body reactions. You'll join a team that moves fast, iterates often, and turns breakthrough research into product capabilities that ship. What you'll do Set the research direction and roadmap for dyadic interaction modeling, balancing long-term bets with near-term product impact. Advance the state of the art in the perceptual layer of interactive agents, including understanding user audio and video and generating contextually appropriate reactions. Post-train multimodal models to generate rich, natural dyadic interactions from user audio and video inputs. Adapt diffusion models to new

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role As an Applied Research Engineer in our Video team, you will help build the next generation of production-grade foundation models for human-centric video generation. You will join a highly focused team working at the intersection of large-scale generative modeling, distributed systems, and production engineering. Our mission is to develop and optimize video base models that power realistic, controllable, and emotionally expressive synthetic humans at scale. This is not pure research. This is applied research with direct product impact. You will work on advancing training recipes, scaling distributed systems, improving evaluation frameworks, and optimizing inference to ensure our models are high quality, stable, and efficient enough for real-world deployment. Your work will directly influence models used by tens of thousands of businesses worldwide. What you’ll do You will own and execute end-to-end research and engineering projects, from hypothesis to production impact. This includes: Developing and scaling latent video diffusion models tailored for human-centric video generation Designing conditioning mechanisms to improve control (pose, emotion, script, camera) without sacrificing fidelity Advanc

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role Synthesia's long-term vision is to build the best human-interactive models: systems that don't just talk to people, but perceive and respond to them, reacting to a user's actions and emotions, not only their words. Today over 60,000 businesses rely on our platform, and the next leap in what we can offer them depends on models that combine text, audio, and video into a single real-time interactive experience. As a Staff Research Engineer, you'll join the Voice team within our 40+ person R&D department, but your scope will extend well beyond voice. You'll help define and drive that broader vision across teams, proposing ambitious research directions and taking direct ownership of the design and implementation of its most critical components. You'll work directly with our voice lead and collaborate tightly with our video teams and other senior members of the org. Concretely, you'll work on voice to voice models that produce text and voice simultaneously. Models that can reason, interrupt the user with back channeling and talk. Models that feel like you are having a natural conversation with, without the feeling of turn taking that is dominant in current speech to speech models. Your role would be

Senior Visual Communication Designer In a nutshell: Visual Communication Designers at IDEO make the biggest impact through visual storytelling. They work collaboratively with multidisciplinary teams to bring ideas, research, strategy, and stories to life through strong craft execution. The ideal candidate has a strong foundation in graphic design and experience applying practical and conceptual design principles across brand expression, interaction and digital product experiences, motion, and storytelling. We’re looking for designers who bring a distinct visual voice, curiosity, and a commitment to craft excellence. In this role, you will… You’ll work as a key contributor on project teams, supporting all phases of the design process—from early exploration and prototyping through to polished, client-facing deliverables. Your work may span brand, storytelling, motion, interaction and digital product, information design, packaging, and environmental expression. Once here you will: Collaborate with multidisciplinary teams to translate research and strategy into compelling visual narratives Contribute to the development and expression of brand identities across mediums Create looks-like/works-like prototypes at varying levels of fidelity to explore and communicate design directions Design thoughtful experiences across digital, physical, and hybrid touchpoints with the end user in mind Produce high-quality visual deliverables that communicate user stories and strategic intent working across a variety of industries (health, financial services, consumer products, etc.) Advocate for exceptional visual craft through making, iteration, and collaboration Some previous projects to check out: Cornell Lab of Ornithology Brand Los Angeles County Department of Mental Health The Lawrence Hall of Science, University of California Berkeley Cities United Rebrand Design Craft: Relevant experience and/or educational background required in interactive/graphic design across a va

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. The opportunity At Synthesia we really care about video generation, especially about human centric avatar video generation. This led us to release models such as EXPRESS-Video , and soon our latest video model - these are the best avatar video models in the world, and we are committed to continuing and double down our efforts in leading that area. Our goal is to get to human centric video models that can generate arbitrary long videos at high resolution with arbitrary actions and events. That means continuously training large generative video models from scratch with the proprietary data pipelines and compute infrastructure to support it at scale. We are looking for a technical leader who owns the full stack end-to-end, someone who bridges pre-training and post-training, sets long-term direction alongside research leadership, and is personally present at the hardest parts of the work. If building foundation model capability from the ground up at a company genuinely committed to leading the field sounds like the right next challenge, this role was written for you. About the role Synthesia's video generation capability is core to everything we ship. It involves roughly 15 people working daily across pre-training a

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role As a Research Engineer in our Video team, you will help build the next generation of production-grade foundation models for human-centric video generation. You will join a highly focused team working at the intersection of large-scale generative modeling, distributed systems, and production engineering. Our mission is to develop and optimize video base models that power realistic, controllable, and emotionally expressive synthetic humans at scale. This is not pure research. This is applied research with direct product impact. You will work on advancing training recipes, scaling distributed systems, improving evaluation frameworks, and optimizing inference to ensure our models are high quality, stable, and efficient enough for real-world deployment. Your work will directly influence models used by tens of thousands of businesses worldwide. What you’ll do You will own and execute end-to-end research and engineering projects, from hypothesis to production impact. This includes: Developing and scaling latent video diffusion models tailored for human-centric video generation Designing conditioning mechanisms to improve control (pose, emotion, script, camera) without sacrificing fidelity Advancing distr

Chicago Visual Communication Design Lead In a nutshell: We are looking for a Visual Communication Design Lead who can guide teams and clients through complex design challenges, setting the visual direction and elevating storytelling across engagements. You’ll work collaboratively to bring our voices, stories, and concepts to life through exceptional visual craft. The ideal candidate has a strong foundation in graphic design and experience applying practical and conceptual design across brand systems, interaction and digital product design, motion, and environments. We’re looking for designers who bring a distinctive visual voice, raise the bar for quality, and help others do the same. In this role, you will… As a Design Lead, you’ll own the visual direction of engagements and lead multidisciplinary teams through all phases of the design process from early research and exploration through prototyping, refinement, and client-facing storytelling. You’ll contribute across a diverse portfolio of work spanning brand, experience, interaction, digital product, and service design. Your work may take many forms, including brand strategy and expression, storytelling systems, interaction and digital product design, data visualization, packaging, and environmental design. Once here you will: Lead project teams and collaborate with multidisciplinary designers Collaborate closely with clients, using storytelling and design to make complex ideas clear and actionable Turn research and open-ended questions into visual systems and stories that build empathy for people and bring their experiences to life for both teams and clients Create and guide looks-like/works-like prototypes at different levels of fidelity to explore ideas and align teams Support and grow other designers through thoughtful critique, collaboration, and hands-on craft leadership Hold a high bar for visual quality while staying open to exploration, iteration, and learning Champion visual communicati