Research Chemist Jobs

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

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role, Mission or Department Overview We are looking for a Research Lead with experience ensuring that shopping-centric insights are at the heart of product development. You will lead a variety of end-to-end research projects that inform Wirecutter's strategy. Your projects will focus on helping connect our visitors to Wirecutter across the full shopping experience. Your research will inform audience strategy, content prioritization, and the Wirecutter Store, amongst other areas. You will be an important partner with Design, Product, Engineering, Marketing, Data, Editorial, guiding decision-making and informing the teams' strategies. We at The New York Times seek the truth and help people understand the world. This mission is rooted in our belief that great journalism has the power to make each reader's life richer and more fulfilling, and all of society stronger and more just. The mission of the New York Times Audience Insights team is to help The Times grow by understanding our audience. The Audience Insights team is a team of researchers that employ tools, methods and approaches across a wide variety of research domains, including product, human-centered design, innovation, market and UX research, and we draw from principles in the social sciences (Psychology, Anthropology, Sociology and Behavioral Economics). We believe that the best work is achieved when we support healthy work-life balance. We support people in managing their

WHO WE ARE Edmentum is a dynamic educator and student-focused company dedicated to tech-enabled learning solutions. Our goal is to ensure that all students have access to flexible learning environments and educators have the tools they need to support their students. We are on a mission to create innovative, proven learning technology, partnering with educators to ignite student potential. We are a Remote First organization with a strong commitment to excellence, innovation, and customer satisfaction. What You’ll Do As a Research Scientist, you’ll contribute to the design and execution of applied AI research studies that provide evidence of reliability, validity, and fairness for Edmentum’s educational products – particularly those that include AI features. You’ll collaborate with internal teams and external researchers, apply advanced psychometric methods, and help communicate research findings to diverse audiences. In this role you will: Conduct and manage rigorous research using applied AI and psychometric methods that support product development and evaluation. Translate complex research methods and results into clear, accessible formats. Collaborate with internal teams and external researchers to support research execution. Prepare research briefs, technical documents, and presentations. Contribute to conference presentations, journal publications, and white papers. Assist in preparing materials for the Technical Advisory Committee (TAC) and other expert panels. Who You Are: You have a PhD in psychometrics, quantitative psychology, educational measurement, statistics, data science, AI evaluation, or related field. You bring 1+ years of experience conducting applied AI research, ideally related to educational assessment. You are proficient in R, SAS, or Python for large-scale data analysis. You are familiar with IRT, scaling/equating, and methods for quantifying reliability, including generalizability theory. You communicate technical content clearly to n

As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in foundation models and world models while remaining deeply engaged in the technical direction of the work. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. 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 foundation models, world models, and multimodal 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 Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences su

WHO WE ARE Edmentum is a dynamic educator and student-focused company dedicated to tech-enabled learning solutions. Our goal is to ensure that all students have access to flexible learning environments and educators have the tools they need to support their students. We are on a mission to create innovative, proven learning technology, partnering with educators to ignite student potential. We are a Remote First organization with a strong commitment to excellence, innovation, and customer satisfaction. What You'll Do AI is changing what educational technology can do for students, and the question of whether it actually works for learners is one the whole field is still figuring out. At Edmentum, we think that question deserves real evidence. As Manager, Applied AI Research, you will lead the team that produces it. You will design the studies that test whether our AI-enabled features are reliable, valid, and fair, and you will carry those findings into the rooms where product and policy decisions get made. Your work will shape both what we build and how the broader education community understands responsible AI in the classroom. In this role you will: Lead a team of researchers producing rigorous, defensible evidence on the reliability, validity, and fairness of Edmentum's AI-enabled features. Design and oversee research and validation approaches for automated scoring, algorithmic decision support, and emerging AI capabilities. Represent Edmentum in academic, industry, standards-body, customer, and policy-facing forums, and build our external credibility on responsible AI. Partner with Product Management, Technology, Learning and Assessment Design, and Efficacy Research to shape the questions that matter and deliver answers on the timelines that matter. Help set the AI research agenda alongside senior research leadership, then turn those priorities into a clear plan of work for your team. Hire, coach, and develop researchers, and build a team that grows as fast as the

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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. The RL Scaling team works on how RL scales: what happens to throughput, stability, and learning efficiency as models get larger, episodes get longer, and compute grows by orders of magnitude, and what has to change in our algorithms and systems to keep getting returns from that scale. This role sits squarely across research and engineering. You'll develop next-generation architectures and RL algorithms, take them from a small-scale result to a frontier-scale run, and understand every place they behave differently along the way. You'll build the systems that set how fast the team can iterate: how many experiments, at what scale, and how quickly we can trust the results. And you'll work on Anthropic's largest and fastest RL runs, where the gap between a good idea and a working one is often a problem no one has solved yet. Key responsibilities Study how RL training and sampling scale with model size, context length, and compute, and find the algorithmic and systems changes that keep scaling efficient Develop next-generation model architectures and RL algorithms, and make them run efficiently at frontier scale Take promising small-scale results to frontier-scale runs, and diagnose why they behave differently when they get there, whether the cause is numerical, algorithmic, or systemic Build the experimental infrastructure that sets research velocity: fast, reproducible comparisons of architecture and algorithm variants at meaningful scale Own end-to-end performance of our largest RL runs, from research code down to th

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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea. As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience. Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing

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! We’re looking for a Research Scientist to advance how high-quality data and environments for AI agents are created. You’ll build and optimize pipelines that combine real-world data, automated generation, and human expert input. Working with domain experts, academic partners, customers, and our product and engineering teams, you’ll scale these pipelines to target frontier model performance gaps and expand data and environment diversity. Your work will amplify human knowledge and judgement, enabling experts to create and refine data and agentic environments that strengthens Snorkel’s position as the frontier data lab. This role is ideal for someone who wants to advance frontier AI through data and environment creation and enjoys turning research into reusable, scalable systems. Location: San Francisco, New York City, OR REMOTE Main Responsibilities Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation. Design and run rigorous experiments to validate proof-of-concept approaches, measure their impact on data quality, pipeline efficiency, and model performance, and communicate findings. Partner with engineering, data operation, domain experts, and customers to turn research prototypes into reliable production workflows. Work directly with domain experts to design and test workflows that help them author, review, and refine data and environments. Work cros

Technical Program Manager – AI Research itD is seeking a Technical Program Manager – AI Research to oversee business-critical projects in the AI Research space, facilitating review and approval processes that enable research initiatives to be initiated and shipped successfully. The ideal candidate will bring 5+ years of technical program management experience in a technology environment, including AI compliance reviews, and a track record of managing complex, cross-functional initiatives in ambiguous environments. Location: onsite presence in New York City 3 days per week. Pay Rate: $53/hr to $54/hr depends on Experience We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Lead multiple compliance reviews for frontier AI research projects, including drafting requirements, monitoring progress, managing action items, and resolving blockers to keep milestones on schedule. Coordinate with requesters, engineering, research teams, reviewers, and privacy stakeholders to clarify requirements and streamline review and approval processes. Develop and maintain clear project communications, providing regular updates and weekly reporting on project status, accomplishments, risks, dependencies, and review-process insights. Identify project risks and dependencies early, develop mitigation plans, and escalate issues that may affect review timelines or key milestones. Research, catalog, and annotate AI Research assets with a high degree of accuracy and attention to detail. Analyze data and optimize workflows using Google Sheets and Microsoft Excel, including data exploration, annotation, and reporting. Monitor developments in AI research, compliance, and related tooling to identify opportunities for continuous process and project improvements. Internal Responsibilities Attend regular internal practice community meeting

The Research Engineer – Mechatronics is a hands-on engineering role within the TaylorMade Research & Development team, focused on the design, prototyping, integration, and validation of electromechanical systems that advance golf equipment and player performance. This role demands deep practical expertise in mechatronics, sensor systems, electronic hardware, wiring, and embedded controls, combined with the ability to develop supporting software and user-facing tools. The ideal candidate is a builder and problem-solver who thrives in a laboratory and prototype environment, producing functional systems from concept through deployment. Essential Functions and Key Responsibilities: Design, prototype, wire, assemble, and test mechatronic and electromechanical systems used in golf equipment evaluation, performance measurement, and product development Develop and interpret wiring diagrams, schematics, and electrical specifications for custom hardware assemblies, test rigs, and IoT-connected devices Select, integrate, and characterize sensors (IMUs, load cells, encoders, pressure sensors, optical sensors, etc.) – including defining operating limits, calibration procedures, and signal conditioning requirements Design and implement IoT systems and wireless data acquisition platforms that capture real-time performance data from equipment and players Develop embedded firmware and control software for microcontrollers and microprocessors (e.g., Arduino, Raspberry Pi, STM32 or similar) to drive test automation and data capture systems Write clean, maintainable code to interface with hardware, process sensor data, and build internal and user-facing applications and interfaces; leverage AI-assisted development tools to accelerate prototyping and automate test routines; apply basic computer vision techni

Location : Athens Office requirement : Hybrid, 2 days per week at the office Employment type : Permanent Seniority level : Junior As our Junior Research Operations Executive, you’ll: Be responsible for working on the operational aspect of multiple multinational market research projects, including scripting, script checking, fieldwork management, data uploads, and data checking. The role also entails communicating with our panel partners, translation providers, and our scripting partners around the world. This is a non-client-facing role with the Research Executive responsible for supporting client-facing researchers in London and New York teams. What do I need to bring with me? You’ll need to be able to demonstrate the core skills this role requires. Here’s what the team will be looking for in you: Being able to get up to speed on our processes quickly and then work independently, efficiently, and accurately. The ability to communicate clearly and concisely in English is a key element of the role. Checking and approving questionnaire scripts before release to the client Checking translated versions have been correctly overlaid Ensuring quality control measures are in place Liaising with the Data team to ensure data is processed appropriately Checking data / identifying issues and working collaboratively to deliver clean data files Ensuring effective communication with suppliers throughout the project and ensuring that they have access to all relevant information Managing project launch with panel providers Making decisions during fieldwork in order to meet the deadlines. This includes knowing when to accelerate fieldwork by using other research methods, as well as identifying issues early enough to overcome delays Working collaboratively with our product team and engineers to develop operational solutions to increase efficiency within the team Trialling beta products/platforms, providing feedback, and assisting in rolling these out to the wider team What We O