Research Jobs in New York, USA

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role We are hiring a Director of UX Research to lead research across our Dating Outcomes and Platform product areas. You will set the vision and strategy for how research informs product decisions across the core product experience at Hinge, focusing on some of Hinge's most complex research questions – understanding what's getting in the way of people forming real connections, and what Hinge needs to become to fundamentally shift how dating works online. The work is ambitious, high-stakes, and directly shapes how Hinge invests.   This is a senior leadership role with significant scope: you'll manage a team of researchers, own the research strategy and roadmap for Dating Outcomes and Platform, and operate as a strategic partner to group-level product, design, data science, and engineering leadership. This is an ideal role for a proven research leader who synthesizes user insights and data science findings into clear product strategy, builds the organizational conditions for teams to execute well, and thrives on ambiguous, high-impact problems.  

<div class="content-intro"><p>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.</p></div><p>Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. </p> <p>Our research spans:</p> <ul> <li>Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. </li> <li>Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science</li> <li>Imaging foundation models trained across the world's largest microscopy datasets</li> <li>Reasoning and agentic systems that connect frontier LLMs with biological foundation models</li> <li>Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights</li> <li>Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled</li> </ul> <h2><span style="color: rgb(40, 40, 39); font-family: helvetica, arial, sans-serif;">Join Our Team!</span></h2> <p>As a Research Engineer, you'll build the models and systems that define what AI can do in biology: foundation models, reasoning, reinforcement learning, and multi-agent systems at frontier scale.</p> <h2><span style="color: rgb(40, 40, 39); font-family: helvetica, arial, sans-serif;">What You'll Do</span></h2> <ul> <li style="font-family: helvetica, arial, sans-serif;">Build on and advance the AI systems at the frontier of biology to accelerate science</li> <li style="font-family: helvetica, arial, sans-serif;">Design novel model architectures and scale pre-training pipelines for our biology foundation models.</li> <li style="font-family: helvetica, arial, sans-serif;">Build post-training systems

<div class="content-intro"><p>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.</p></div><p>Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. </p> <p>Our research spans:</p> <ul> <li>Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. </li> <li>Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science</li> <li>Imaging foundation models trained across the world's largest microscopy datasets</li> <li>Reasoning and agentic systems that connect frontier LLMs with biological foundation models</li> <li>Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights</li> <li>Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled</li> </ul> <h2><span style="color: rgb(40, 40, 39); font-family: helvetica, arial, sans-serif;">Join Our Team!</span></h2> <p>As a Research Scientist, you'll build the models and systems that define what AI can do in biology: foundation models, reasoning, reinforcement learning, and multi-agent systems at frontier scale.</p> <h2><span style="color: rgb(40, 40, 39); font-family: helvetica, arial, sans-serif;">What You'll Do</span></h2> <ul> <li style="font-family: helvetica, arial, sans-serif;">Build on and advance the AI systems at the frontier of biology to accelerate science</li> <li style="font-family: helvetica, arial, sans-serif;">Design novel model architectures and scale pre-training pipelines for our biology foundation models.</li> <li style="font-family: helvetica, arial, sans-serif;">Build post-training systems

<p><strong>ABOUT THE ROLE</strong></p> <p>Peloton is seeking a User Researcher to support the innovation, iteration, and optimization of our products. This User Researcher will work directly with Product Managers, Designers, Data Scientists, and Engineers to better understand how users are interacting with Peloton products through user research and testing and to inform and evaluate new features and experiences developed by product teams.</p> <p>This role will work on the User Research team and will report to our Director of User Research.</p> <p><strong>YOUR DAILY IMPACT AT PELOTON</strong></p> <ul> <li>Collaborate directly with Researchers, Product Designers, Content Designers, Product Managers, Data Analysts, and Engineers to define and align on research objectives and methodologies</li> <li>Build and implement research plans, choosing efficient methodologies (qualitative and/or quantitative) to answer Product and UX research questions that produce new concrete insights</li> <li>Work closely with Research Coordinators to define recruitment strategy, handle logistics and scheduling, and incentivize participants</li> <li>Regularly conduct discovery (user interviews, diary studies, surveys), tactical (e.g. iterative usability studies), and evaluative research (e.g., usability studies, concept evaluations, benchmarking, heuristic evaluations) on Peloton products, to identify problems and ensure that the current experience is constantly improving</li> <li>Define, design, and implement moderated and un-moderated usability studies on flat designs, prototypes, beta, and finished digital experiences</li> <li>Compile and present findings to the relevant partners in a clear and concrete way they can use to design product improvements</li> <li>Help to formulate research documentation to better understand Peloton-specific user behavior</li> <li>Document and track takeaways gathered through testing and research so insights can easily be referenced and applied for future projects</li> </ul> <p><strong>WHAT YOU BRING TO PELOTON</strong></p> <ul> <li>Master of basic usability testing, familiar and/or experienced with several other primary research methods</li> <li>2+ years of User Research and Testing experience</li> <li>Analyze and synthesize research and testing data, and report it in a concise and concrete way</li> <li>Develop processes to organize work across multiple people and teams</li> <li>Strong analytical, and problem-solving skills</li> <li>Versed in remote and in-person user research methodologies</li> <li>Communicate and utilize storytelling effectively</li> <li>Thrive on managing multiple priorities and executing projects</li> <li>Open to l