Research Engineer Specializing in Search and Information Retrieval

Join Firecrawl as a Research Engineer focusing on Search and Information Retrieval (IR). In this pivotal role, you will leverage cutting-edge technologies to develop innovative solutions that enhance our clients' search capabilities. You will work closely with cross-functional teams to analyze data, implement algorithms, and contribute to the advancement of our search platforms.

About Our TeamAt OpenAI, we are dedicated to extending the reach of our advanced AI technology through innovative products like ChatGPT and the OpenAI API. Our mission is to learn from deployment and share the benefits of AI, while prioritizing safety and responsible usage over unchecked growth.Role OverviewWe are on the lookout for a seasoned Research Engineer to spearhead efforts in retrieval and search across our API and ChatGPT platforms. As the AI landscape continues to evolve, retrieval and search capabilities have emerged as pivotal for our models. You will play a crucial role in developing search-based product experiences that will impact millions of users globally.In this position, your responsibilities will include:Collaborating closely with our research team to advance retrieval and search algorithms across various domains such as document search, enterprise search, knowledge retrieval, and web-scale search.Implementing these search methodologies into production for both the API and ChatGPT, enhancing user experiences for millions.Investigating cutting-edge research topics in retrieval and search to inform our product strategy for the future.Working together with researchers, engineers, product managers, and designers to introduce new features and innovations.Ideal Candidate ProfileYou will thrive in this role if you:Possess substantial experience in building and maintaining production-level machine learning systems.Have a background in working with vector databases, search indices, or other data storage solutions tailored for search and retrieval applications.Are proficient in developing and refining internet-scale search systems.Exhibit a strong sense of ownership over projects and are eager to acquire new skills to tackle challenges effectively.Demonstrate the ability to work swiftly in an environment with evolving parameters and competing priorities.

About Our TeamJoin the Foundations Research team, where we tackle ambitious and innovative projects that could redefine the future of AI. Our mission is to enhance the science behind our training and scaling initiatives, focusing on pioneering frontier models. We are dedicated to advancing data utilization, scaling methodologies, optimization strategies, model architectures, and efficiency enhancements to accelerate our scientific breakthroughs.About the PositionWe are on the lookout for a dynamic technical research lead to spearhead our embeddings-focused retrieval initiatives. You will oversee a talented team of research scientists and engineers committed to developing foundational technologies that enable models to access and utilize the right information precisely when needed. This includes crafting innovative embedding training objectives, architecting scalable vector storage, and implementing adaptive indexing techniques.This pivotal role will contribute to various OpenAI products and internal research initiatives, offering opportunities for scientific publication and significant technical influence.This position is located in San Francisco, CA, where we embrace a hybrid work model, requiring three days in the office weekly, and we provide relocation assistance for new hires.Your ResponsibilitiesLead cutting-edge research on embedding models and retrieval systems optimized for grounding, relevance, and adaptive reasoning.Supervise a team of researchers and engineers in building an end-to-end infrastructure for training, evaluating, and integrating embeddings into advanced models.Drive advancements in dense, sparse, and hybrid representation techniques, metric learning, and retrieval systems.Work collaboratively with Pretraining, Inference, and other Research teams to seamlessly integrate retrieval throughout the model lifecycle.Contribute to OpenAI's ambitious vision of developing AI systems with robust memory and knowledge access capabilities rooted in learned representations.You Will Excel in This Role If You PossessA proven track record of leading high-performance teams of researchers or engineers within ML infrastructure or foundational research.In-depth technical knowledge in representation learning, embedding models, or vector retrieval systems.Familiarity with transformer-based large language models and their interaction with embedding spaces and objectives.Research experience in areas such as contrastive learning and retrieval-augmented generation.

About the RoleHex is at the forefront of AI-driven solutions, revolutionizing Data Science and Data Analytics workflows. As an AI Research Engineer at Hex, you will collaborate with product teams to create cutting-edge AI experiences, such as the Notebook Agent. Your role will involve conducting experiments, refining models, deploying AI infrastructure, and developing experimentation tools.Central to our AI experiences is the ability to provide relevant context to the agent. In this role, you will focus on enhancing our search and context architecture, building essential components of our agentic platform, including agentic search and discovery subagents, as well as large-scale, permissions-aware indexing systems.If you are a passionate builder eager to deliver these capabilities to thousands of users, join us on the premier Data Science platform, equipped with exceptional user context.We seek a senior engineer with a background in AI Engineering, Software Engineering, or Machine Learning Engineering, who is keen to broaden our capabilities across several innovative applications. As an early member of our team, you will engage in diverse initiatives, including:Exploring novel agentic techniques for search, discovery, and context managementDesigning and implementing scalable search and indexing architecturesWorking on cutting-edge production AI applications for real customersThis position offers significant opportunities for both personal and professional growth, with numerous technical and leadership prospects based on your interests.Our goal is to provide AI capabilities that significantly enhance and accelerate the data science workflow. We have an exciting roadmap ahead and are eager to share more details during the interview process. We particularly welcome candidates who are enthusiastic about the potential within this field.

About the Foundations Retrieval Team The Foundations Research group at OpenAI explores new approaches that could shape artificial intelligence for years to come. The team focuses on improving the science and data behind model training and scaling, especially for future advanced models. Areas of focus include data utilization, scaling laws, optimization strategies, model architectures, and efficiency improvements. Within Foundations, the Search team builds agentic search solutions. This group works closely with others to design interfaces between models and the core search stack, serving, indexing, and retrieval, so model intent leads to reliable, real-world results. The team develops large-scale systems to transform and index massive information sources, enabling models to reason over global knowledge. Close collaboration with researchers helps move new modeling ideas into production quickly, changing how intelligent systems discover and synthesize information at scale. Role Overview OpenAI is hiring a Software Engineer with expertise in retrieval system development and scalability for its San Francisco office. This role involves working with researchers and engineers to build infrastructure that lets models access the right information when needed. Responsibilities include designing and operating indexing systems, retrieval pipelines, and serving layers. Work in this role will directly improve retrieval capabilities across OpenAI’s research and products, with a strong influence on system performance, reliability, and scalability. What You’ll Do Develop and scale retrieval infrastructure, including indexing, serving, and query execution. Build low-latency, high-throughput systems for real-time model interactions. Work with research teams to bring embedding and retrieval methods into production. Support dense, sparse, and hybrid retrieval pipelines. Maintain system performance, reliability, and observability at scale. Collaborate with Pretraining, Inference, and Product teams to deliver end-to-end retrieval solutions. Help develop model-system interfaces for agentic workflows. Who We’re Looking For Experience building and scaling distributed systems. Background in developing high-performance, low-latency systems. Hands-on work with indexing and retrieval techniques. Familiarity with hybrid retrieval systems. Comfort working collaboratively across multiple teams.

Join our dynamic team at dev2 as a Talent Researcher/Sourcer in the field of Executive Search. In this fully remote role, you will play a key part in identifying and attracting top-tier executive talent for our clients. Your expertise in talent sourcing and research will be crucial in building strong pipelines of candidates and facilitating successful placements.

Exa is at the forefront of technology, developing an innovative search engine tailored for AI applications. Our team is dedicated to creating robust infrastructure that enables us to crawl the web, build cutting-edge embedding models for indexing, and develop high-performance vector databases in Rust. We proudly operate a $5M H200 GPU cluster capable of powering tens of thousands of machines.As a Generalist Research Engineer, you will collaborate across our search and retrieval stack, focusing on crawling, parsing, machine learning performance, and retrieval algorithms. Your contributions will directly enhance the quality of search endpoints for our users.

At Exa, we are revolutionizing the way AI applications access information by building a cutting-edge search engine from the ground up. Our team is dedicated to developing a robust infrastructure capable of crawling the web, training advanced embedding models, and creating high-performance vector databases using Rust to facilitate seamless searches.As part of our ML team, you'll be instrumental in training foundational models that refine search capabilities. Our mission? To deliver precise answers to even the most complex queries, effectively transforming the web into an incredibly powerful knowledge database.We are seeking a talented Machine Learning Research Engineer who is passionate about crafting embedding models that enhance web search efficiency. Your responsibilities will include innovating novel transformer-based architectures, curating extensive datasets, conducting evaluations, and continuously improving our state-of-the-art models.

About World Labs: At World Labs, we are pioneers in developing foundational world models capable of perceiving, generating, reasoning, and interacting with the 3D world. Our mission is to unlock the full potential of AI through spatial intelligence, transforming vision into action, perception into reasoning, and imagination into innovation. We envision a future where spatial intelligence opens new avenues for storytelling, creativity, design, simulation, and immersive experiences across virtual and physical realms. Our team comprises top experts united by a shared curiosity and passion for technology, ranging from AI research to systems engineering and product design. This synergy creates a dynamic feedback loop between our state-of-the-art research and the products that empower our users. Role Overview We are seeking a SLAM Specialist to conceptualize, develop, and enhance cutting-edge simultaneous localization and mapping systems, ensuring accurate and resilient spatial understanding derived from real-world sensor data. Your focus will be on modern SLAM techniques, encompassing both classical and learning-based methodologies, with an emphasis on scalable state estimation, sensor fusion, and long-term mapping within complex, dynamic environments. This role is hands-on and research-oriented, perfect for someone who thrives at the intersection of robotics, computer vision, and probabilistic inference. You will work closely with research scientists, ML engineers, and systems teams to translate advanced SLAM concepts into production-ready capabilities that serve as the backbone of our world modeling stack. What You Will Do: Design and implement advanced SLAM systems for real-world scenarios, including visual, visual-inertial, lidar, or multi-sensor configurations. Develop robust localization and mapping pipelines, focusing on pose estimation, map management, loop closure, and global optimization. Research and prototype innovative learning-based or hybrid SLAM approaches that synergize classical geometry with contemporary machine learning techniques. Construct and maintain scalable state estimation frameworks, including factor graph optimization, filtering, and smoothing methodologies. Devise sensor fusion strategies that incorporate cameras, IMUs, depth sensors, lidar, or various modalities to enhance robustness and precision. Examine failure modes in real-world SLAM applications (e.g., perceptual aliasing, dynamic scenes, drift) and develop principled solutions. Create evaluation frameworks, benchmarks, and metrics to assess SLAM accuracy, robustness, and performance across extensive datasets. Optimize performance throughout the stack, including adherence to real-time constraints.

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

Product Engineer — SearchJoin Firecrawl as a Product Engineer and take charge of our developer-focused search experience. You will bridge the gap between groundbreaking research and practical application, transforming retrieval and ranking advancements into a product that developers find indispensable. This role is unique as it combines deep technical expertise with a passion for user experience. In our dynamic team of 26, you will play a pivotal role in delivering impactful product enhancements.Salary Range: $180,000–$290,000/year (This range applies to U.S. employees, with adjustments made for international employees based on local cost of living. More information on our compensation structure can be found here.)Equity Range: Up to 0.15%Location: San Francisco, CA or Remote (Americas, UTC-3 to UTC-10)Job Type: Full-TimeExperience: 3+ years of experience in applied reinforcement learning, machine learning engineering, or model training with production systems.Visa: US Citizenship/Visa required for San Francisco; N/A for Remote positions.About FirecrawlAt Firecrawl, we simplify data extraction from the web, equipping developers to seamlessly convert URLs into LLM-ready markdown or structured data through a single API call. In just a year, we have achieved 8 figures in annual recurring revenue and garnered over 100k GitHub stars by providing the fastest solutions for developers seeking LLM-ready data.We are a nimble, technically adept team focused on building essential infrastructure that superintelligence will leverage to gather web data. Our approach is to ship quickly and deliver profound results.What You'll DoImplement noticeable search enhancements. Transform research-driven retrieval and ranking improvements into tangible product modifications that resonate with developers. You understand that a 200ms latency decrease translates to a superior product. You will manage the entire process: from API modifications to documentation updates and illustrative examples.Oversee the search API comprehensively. You will be accountable for the integration and usability of Firecrawl's search endpoint. This encompasses response formats, latency, error handling, pagination, and filtering — every interaction a developer experiences. Your keen attention ensures that every developer's touchpoint is optimized for performance and usability.

Join Anthropic as a Research Engineer focusing on Economic Research. In this role, you will leverage your analytical skills to conduct in-depth economic analysis and contribute to innovative projects aimed at enhancing our understanding of economic models and their implications.

Are you passionate about making a difference? Join our team! At GoFundMe, we're proud to be the leading platform for community support, enabling individuals and nonprofits to connect and uplift each other. Since our inception in 2010, we've facilitated over $40 billion in fundraising efforts, helping countless people in times of need. We are currently seeking a talented Senior Search Engineer to spearhead the design and implementation of our next generation of search and retrieval systems, incorporating cutting-edge machine learning technologies and generative AI applications. You will work alongside a dedicated team to create impactful solutions that enhance user experiences and drive business success. Please note that candidates for this role must be located in the San Francisco Bay Area, as this position requires in-office attendance three times a week.

About the TeamJoin the innovative Post-Training team at OpenAI, where we focus on refining and elevating pre-trained models for deployment in ChatGPT, our API, and future products. Collaborating closely with various research and product teams, we conduct crucial research that prepares our models for real-world deployment to millions of users, ensuring they are safe, efficient, and reliable.About the RoleAs a Research Engineer / Scientist, you will spearhead the research and development of enhancements to our models. Our work intersects reinforcement learning and product development, aiming to create cutting-edge solutions.We seek passionate individuals with robust machine learning engineering skills and research experience, particularly with innovative and powerful models. The ideal candidate will be driven by a commitment to product-oriented research.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days in the office each week. Relocation assistance is available for new employees.In this role, you will:Lead and execute a research agenda aimed at enhancing model capabilities and performance.Work collaboratively with research and product teams to empower customers to optimize their models.Develop robust evaluation frameworks to monitor and assess modeling advancements.Design, implement, test, and debug code across our research stack.You may excel in this role if you:Possess a deep understanding of machine learning and its applications.Have experience with relevant models and methodologies for evaluating model improvements.Are adept at navigating large ML codebases for debugging purposes.Thrive in a fast-paced and technically intricate environment.About OpenAIOpenAI is a pioneering AI research and deployment organization dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We are committed to pushing the boundaries of AI capabilities while prioritizing safety and human-centric values in our products. Our mission is to embrace diverse perspectives, voices, and experiences that represent the full spectrum of humanity, as we strive for a future where AI is a powerful ally for everyone.

About Our TeamJoin the forefront of AI innovation with the RL and Reasoning team at OpenAI. Our team is dedicated to advancing reinforcement learning research and has pioneered transformative projects, including o1 and o3. We are committed to pushing the limits of generative models while ensuring their scalable deployment.About the RoleAs a Research Engineer/Research Scientist at OpenAI, you will play a pivotal role in enhancing AI alignment and capabilities through state-of-the-art reinforcement learning techniques. Your contributions will be essential in training intelligent, aligned, and versatile agents that power various AI models.We seek individuals with a solid foundation in reinforcement learning research, agile coding skills, and a passion for rapid iteration.This position is located in San Francisco, CA, and follows a hybrid work model of three days in the office per week. We also provide relocation assistance for new hires.You may excel in this role if:You are enthusiastic about being at the cutting edge of RL and language model research.You take initiative, owning ideas and driving them to fruition.You value principled methodologies, conducting simple experiments in controlled environments to draw trustworthy conclusions.You thrive in a fast-paced, complex technical environment where rapid iteration is essential.You are adept at navigating extensive ML codebases to troubleshoot and enhance them.You possess a profound understanding of machine learning and its applications.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves the greater good for humanity. We strive to push the boundaries of AI system capabilities while prioritizing safe deployment through our innovative products. We recognize AI as a powerful tool that must be developed with safety and human-centric principles, embracing diverse perspectives to reflect the full spectrum of humanity.We are proud to be an equal opportunity employer, welcoming applicants from all backgrounds without discrimination based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic.

Join Exa as we embark on an ambitious journey to create a cutting-edge search engine tailored for AI applications. Our team is dedicated to constructing a robust infrastructure capable of crawling the web, training advanced embedding models for indexing, and building highly efficient vector databases in Rust for optimal search performance. With our state-of-the-art $5M H200 GPU cluster, we consistently engage tens of thousands of machines to deliver unparalleled results.As the Engineering Manager, you will lead a dynamic team, fostering innovation and driving us towards achieving groundbreaking technological advancements. Our team is not only exceptionally skilled but also a joy to work with, making this an exciting opportunity.

Role Overview Hinge Health is hiring a Senior Software Engineer focused on Search at our San Francisco headquarters. This role centers on building and refining search features that help users find what they need quickly and easily. The work supports our mission to improve healthcare experiences through technology. What You Will Do Design and implement advanced search functionality for our platform Work closely with teams across engineering, product, and design to deliver solutions that improve user experience Contribute ideas and code that shape the direction of our search systems Who We’re Looking For Experience building or improving search features in software products Interest in solving technical challenges that impact healthcare Comfort working with cross-functional teams

At Ironclad, we are revolutionizing the way legal agreements are managed with our leading AI contracting platform. We transform contracts into valuable assets, enabling faster processing, immediate insights, and empowering agents to drive projects forward, all while maintaining user control. Ironclad integrates the entire contracting process into a single intelligent platform, giving organizations the visibility they need to remain ahead of the curve. Trusted by pioneering organizations such as OpenAI, the World Health Organization, and the Associated Press, we are committed to accelerating business operations worldwide.Recognized as an industry leader, Ironclad is a proud recipient of accolades like Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company’s Most Innovative Workplaces. We have also earned spots on Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. With backing from top investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton, we’re poised for significant growth. Explore more about us at www.ironcladapp.com or follow us on LinkedIn.Engineering at IroncladAs a Senior Software Engineer specializing in Search and Discovery, you will collaborate across teams to identify business challenges and architect innovative solutions. Your work will enable legal professionals to scale their operations exponentially. We seek forward-thinking engineers who understand UI performance as a fundamental engineering challenge. If you have a passion for optimizing rendering cycles, refining critical path CSS, and creating accessible, top-tier experiences in a collaborative and high-growth environment that values remote flexibility and technical excellence, we invite you to help us reshape the legal industry.Search and Discovery TeamWe believe that 'legal software' should not feel outdated. Our goal is to enhance global business efficiency by providing real-time, actionable contract intelligence. The Search & Discovery team is dedicated to crafting seamless user experiences that surface critical insights through intuitive features and an elegant UI. In this role, you will not just be building components; you'll be designing the entire feature lifecycle, enabling users to visualize, edit, and extract complex legal data instantly, turning extensive document collections into valuable insights.This role entails addressing the significant technical challenges associated with rapid growth, including optimizing UI render cycles for data-intensive workflows.

Join Artech Information Systems LLC as a Research Associate II in the vibrant city of San Francisco! This is a fantastic opportunity for aspiring professionals looking to launch their career in research.As a Research Associate II, you will play a crucial role in supporting various research projects, analyzing data, and assisting with the development of research methodologies. Your analytical skills and attention to detail will be key in helping our team achieve successful project outcomes.

Mapbox stands as a premier real-time location platform, empowering a new generation of location-aware businesses. Our platform uniquely provides organizations with a comprehensive suite of tools essential for navigating people, packages, and vehicles across the globe. With over 4 million registered developers choosing Mapbox for its flexibility, security, and privacy compliance, companies leverage our applications, data, SDKs, and APIs to craft tailored and immersive experiences that captivate their customers.About the Search Data TeamThe Search Data team is responsible for providing address, place, and points of interest (POI) data for global searches across various countries. This functionality is critical for our clients’ applications, and our team collaborates closely with the Maps and Navigation divisions at Mapbox. We handle batch data from a multitude of sources, utilizing ETL data pipelines to prepare it for our search engines. This work presents diverse challenges, including algorithm development, scalability, and quality assessment. As a Software Development Engineer on the Search Data team, you will engage with vast datasets—hundreds of millions of records—playing a crucial role in developing sophisticated mapping and navigation software for vehicles, web applications, and mobile devices.With AI increasingly integrated into engineering workflows, we seek engineers who can thoughtfully incorporate AI into design, development, and decision-making. Our interview process will include discussions surrounding your use of AI in engineering.