Research Director Jobs

About the Role The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation. As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic. Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic. Past Research Speculative decoding research by Together researchers, interns and academic collaborators includes: Speculative Speculative Decoding (ICLR 2026) When RL Meets Adaptive Speculative Training: A Unified Training-Serving System (ICML 2026) Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training (MLSys 2026) Responsibilities Research and prototype new efficient speculative decoding algorithms and draft model architectures Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses. Implement optimized version for serving engines to show efficacy in real world workloads Communicate the plans, progress, and results of projects to the broader team Share findings through technical write-ups and blog posts, and help bring successful ideas into production Requirements Currently pursuing a Master's or Ph.D. degree in Computer Sci

Lifecycle Marketing Manager- 3 month FTC Team: Marketing Prolific At Prolific, our marketplace is rooted in academia, and that commitment runs deep. Alongside our work to accelerate the future of AI, we’re continuing to redefine how the world conducts academic research. What started as a research-driven idea has evolved into the world’s most trusted infrastructure for human data. Today, tens of thousands of researchers from top universities across the globe rely on Prolific to power their work, from peer-reviewed studies to the next generation of technological breakthroughs. We're doubling down on our mission to serve the academic community, deepening relationships, building smarter tools, and making high-quality human data more accessible than ever. The role Prolific’s self-serve motion is a core growth engine for Prolific. We’re looking for an experienced lifecycle marketer to scale and ship the foundations of our lifecycle programme: onboarding, activation, retention and reactivation across email and in-app, plus the product-qualified signals that tell Sales which accounts are worth a conversation. You’ll work with Product, Customer Success, Sales/RevOps and Product Marketing. We need someone who can get up to speed quickly, make sound calls with minimal direction, and deliver programmes, dashboards and documentation. This is not a traditional B2B SaaS marketing role. We’re looking for someone who has run lifecycle in a product-led, self-serve business, where users sign up and start on their own and marketing’s job is to drive behaviour in and around the product. Demand gen, MQL/SQL pipeline, events and sales-led nurture are not the right background. This is a full-time, 3 month fixed-term contract, with the potential to extend depending on business needs. What you’ll bring to the role 5-7 years in lifecycle, CRM, retention or growth marketing at a product-led / self-serve company , with a track record of moving activation, retent

Research Consultant Team: Managed Services Prolific At Prolific, our marketplace is rooted in academia, and that commitment runs deep. Alongside our work to accelerate the future of AI, we’re continuing to redefine how the world conducts academic research. What started as a research-driven idea has evolved into the world’s most trusted infrastructure for human data. Today, tens of thousands of researchers from top universities across the globe rely on Prolific to power their work, from peer-reviewed studies to the next generation of technological breakthroughs. We're doubling down on our mission to serve the academic community, deepening relationships, building smarter tools, and making high-quality human data more accessible than ever. The role Our Managed Services team delivers a white-glove, consultative experience for customers running complex, high-impact research projects. From shaping research design and methodology to overseeing data collection, analysis, and reporting, we help organisations turn ambitious research questions into meaningful, actionable insights. As a Research Consultant you'll be at the heart of this offering, combining your research expertise with a consultative, customer-first approach to deliver exceptional outcomes for customers across academia and industry. You'll act as a trusted advisor, helping customers navigate complex research challenges, design effective studies, and make informed decisions backed by high-quality data. This is a hands-on, client-facing opportunity where you'll take ownership of multiple research engagements from initial consultation through to delivery and analysis. Working closely with our Sales, Customer Success, Product, and Supply teams, you'll not only help customers achieve their research goals but also play an important role in shaping and scaling Prolific's growing Managed Services offering. What you’ll bring to the role Strong experience designing and delivering complex re

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Your Role at Baxter: At Baxter, you will lead the design and execution of stability studies supporting new product development and sustaining product initiatives. You will provide scientific and regulatory guidance for stability programs, including shelf-life and storage condition recommendations. Working closely with cross-functional teams, you will ensure compliance with global regulatory requirements and project timelines. What you'll be doing: Develop and execute stability study designs for new product development and sustaining product projects. Provide scientific justification for shelf-life, expiration dating, and storage condition recommendations. Lead stability-related technical investigations and analytical problem-solving activities. Prepare and support regulatory submissions and responses to health authority inquiri

Become a part of our caring community The Research Scientist 2 participates in research study design, analysis and interpretation of results, with special emphasis on statistical and analytical plan development; data acquisition, preparation, and management; statistical analysis and interpretation of findings. The Research Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. Humana’s Healthcare Quality & Reporting Improvement (HQRI) department is seeking a Research Scientist 2 to join a high-performing team dedicated to advancing predictive modeling and analytics in support of our Medicare and Medicaid business. The HQRI team plays a pivotal role within Humana, delivering insights that drive the effectiveness of risk adjustment initiatives. In this position, the Research Scientist 2 will partner with a senior research scientist to apply advanced statistical methods to rigorously evaluate the impact of risk adjustment programs and pilot projects. The findings generated will be critical in informing key business decisions and optimizing operational strategies. Additionally, the person in this role will collaborate with colleagues specializing in data science and actuarial analytics. We are seeking a candidate who brings complementary skills to the team, with the ability to learn from their teammates while contributing with their unique expertise in statistical analysis. Use your skills to make an impact Required Qualifications Bachelor's degree in Computer Science, Data Science, Mathematics or a related quantitative field; 2 years of experience applying statistical modeling, pred

As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in post-training and autonomous agents while remaining deeply engaged in the technical direction of the work. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will provide technical leadership to a team of researchers and research engineers, mentor and develop highly technical talent, shape research direction, and collaborate with Datadog’s product and engineering teams to translate research advances into products. This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead research in agent post-training and reinforcement learning, setting the technical direction for ambitious research programs grounded in observability and security Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences su

NVIDIA is at the forefront of the AI and robotics revolution, and NVIDIA’s robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is uniquely positioned at the intersection of open academic research and real-world industry impact, pursuing fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, simulation, and robotics foundation models. This research aims to transform research paradigms, transfer into NVIDIA’s robotics and simulation products, and create new robotics markets for the world. The Seattle Robotics Lab has published over 500 research papers, including many influential works that have been presented at top robotics, AI, and computer vision conferences. These works include BayesSim , cuRobo , DeXtreme , DiSECT , Factory , GraspNet , IndustReal , ITPS , LAPA , <a href="h

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

Position Overview: We are seeking a highly motivated and skilled Research Associate I to join our dynamic team in the sample management. In this role, you will be responsible for the management of biological samples, ensuring their integrity, overseeing quality control, and supporting research projects that rely on biological specimens. The ideal candidate will have a strong background in bio sample management, research methodologies, and data analysis, with an interest in contributing to cutting-edge scientific research. Key Responsibilities: Sample Collection and Processing : Oversee the collection, preparation, and processing of biological samples (e.g., blood, tissue, saliva, DNA) in accordance with established protocols and best practices. Maintain proper documentation and labeling of samples, ensuring traceability from collection to storage. Sample Storage and Management : Ensure proper storage conditions (e.g., temperature, humidity) for various types of biological samples, including cryopreservation and ambient storage. Implement inventory management procedures to track and organize samples, utilizing database systems and laboratory management software (e.g., FreezerPro, LabArchives). Ensure the samples are appropriately cataloged and accessible to researchers in a timely manner. Database Management and Data Analysis : Manage and update the sample database, ensuring accuracy and compliance with sample tracking and research needs. Assist in data analysis and reporting, including the creation of sample inventory reports and performance metrics. Collaborate with the research team to retrieve and prepare data for research publications or grant proposals. Regulatory Compliance and Quality Control : Monitor and ensure compliance with regulatory requirements, including HIPAA, IRB guidelines, and biorepository-specific SOPs (Standard Operating Procedures). Implement quality control procedures to ensure sample integrity and that all processes meet accreditation stand

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Research Fellow About the Role As a Research Fellow at Snorkel, you’ll build open benchmarks and evaluation environments that help shape how AI progress is measured. This fellowship is for PhD students and postdocs who want to turn important questions in their fields into new ways to evaluate AI capabilities. You’ll own the project from the initial research question through public release, setting its direction and leading its development. A Snorkel researcher will serve as your co-advisor, and you’ll have access to Snorkel’s broader resources, including paid time from credentialed domain experts and compute to run experiments and evaluate frontier models. You’ll retain your academic affiliation while spending at least one day a week with Snorkel’s research team, including in person in our San Francisco or New York offices where applicable. What you’ll do Scope and lead a new benchmark, dataset, or environment in a domain where current evaluations fall short Define the task specification, rubrics, and reference answers with domain experts from Snorkel's network, and run the expert review process Release the research artifact publicly, with you as lead author. Join weekly research meetings to share progress, receive feedback, and contribute to other researchers’ projects What you'll get A Snorkel research co-advisor matched to your project Domain Experts, compute, and engineering support for your project An open-source academic artifact released as

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team Our decoding inflammation team builds tools to enable precise molecular-level measurements of inflammation within human tissues in real time, and develop proactive, early interventions that can be deployed when inflammation — which underlies the most significant causes of death worldwide — first flares in the body. You can learn more about our work here . Our team collaborates with three powerhouse universities - Northwestern University, the University of Chicago, and the University of Illinois Urbana-Champaign - to develop first-in-class technologies and make breakthroughs. Our Vision Pursue large scientific challenges that cannot be pursued in conventional environments Enable individual investigators to pursue their riskiest and most innovative ideas Facilitate research by scientists and clinicians at our home institutions and beyond We are a team of passionate individuals powered by technology, guided by scientific research, and driven by collaboration, working toward a mission to cure or prevent all disease. The Opportunity To support our AI models and applications in inflammation and immunology, Biohub Chicago is building a lab that runs biology experiments at a scale and consistency that manual work can't reach. We are seeking a Research Associate experienced in hands-on cell biology to work closely with automation engineers and scientists, performing consistent cell maintenance, executing experiments on and off automated systems, and developing the QC metrics which will form

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

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. Sierra’s Applied Research team advances the quality, speed, and cost efficiency of the models powering our agents across a wide range of tasks. Our work spans post-training open-weight models for specialized capabilities and pioneering new approaches to voice AI, turning research breakthroughs into reliable production systems. What you’ll do Tackle unsolved applied AI and ML problems. Pushing the boundaries of post-training, voice AI, and long-horizon task execution, building agents that can reason, adapt, and reliably carry out complex tasks for customers. Determine when to build specialized models and when to use externally provided frontier intelligence, balancing quality, speed, and cost to deliver customer value. Turn ambiguous product and customer pro

Overview Guidepoint is launching a centralized Centre for Expert Acquisition (CEA) team to build and scale expert coverage across priority sectors, particularly within Private Markets. This team will operate differently from traditional recruiting. Instead of reacting to individual client requests, the CEA team builds proactive, programmatic pipelines — mapping markets, identifying priority companies and personas, and continuously recruiting high-value experts aligned to Guidepoint’s long-term strategy. This is a high-execution, outbound role with significant time spent on phone-based outreach and engagement with senior industry professionals. The role is fully in-office during US hours and is part of a new, high-visibility team being built from the ground up. Shift: US Hours (approx. 6:00 PM – 2:30 AM IST) What You’ll Do: As a Research Associate, you will play a key role in expanding Guidepoint’s expert network in targeted industries and functions. Identify and recruit senior industry professionals (executives, operators, customers, investors, subject matter experts) aligned to priority sectors Execute high-volume outbound outreach daily via phone, LinkedIn, and email Engage and communicate with senior professionals, clearly articulating Guidepoint’s value proposition Screen and qualify experts for relevance, depth of experience, and suitability Build and maintain accurate profiles in Guidepoint’s CRM systems Work closely with internal stakeholders to understand sector priorities and coverage gaps Meet and exceed weekly and monthly recruiting KPIs in a performance-driven environment Continuously refine outreach strategies based on response rates and conversion trends Support onboarding and early activation of newly recruited experts What You Have: Bachelor’s degree or higher with strong academic performance 0–2 years of experience in recruitment, B2B sales, inside sales, business development, lead generation, or similar roles Comfort with cold calling and outbound