AI Research Engineer, Search and Context

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.

Join Context AI as a Software Engineer - MTSAbout UsAt Context AI, we are dedicated to revolutionizing productivity for knowledge workers. Our mission is to create enterprise AI systems that not only answer questions and automate tasks but also handle complex, high-stakes work that truly drives business success. We have identified that the primary barrier to realizing the potential of AI in enterprises is not the intelligence of the models, but rather the understanding of institutional knowledge - the intricate ways organizations function, where information is stored, the quality standards in play, and the processes that drive work completion.Our innovative platform learns the unique context of each organization, capturing vital elements such as tribal knowledge, business rules, internal lexicons, and tacit expertise that contribute to delivering production-quality work. Context AI enables seamless connections to vast datasets, empowering AI agents to perform essential tasks, from engineers analyzing firmware logs for root cause identification, to bankers conducting due diligence in extensive data rooms, to analysts refreshing reports with real-time market data and consulting teams crafting client deliverables.We have successfully demonstrated our capabilities with Fortune 100 clients, achieving significant productivity gains between 30-40%, drastically reducing cycle times by over 90%, and deploying solutions in mere days rather than months. Operating around the clock, our global team at Context AI liberates knowledge workers to concentrate on strategic opportunities and explore new avenues for growth.Why Choose Context AI?Transformative Impact: As part of our team, you will contribute to the boundless potential of enterprise AI, reshaping the work landscape for numerous professionals including engineers, bankers, analysts, consultants, product managers, and lawyers.Engaging Technical Challenges: You will have the opportunity to design systems that have never been built before, tackling problems that have yet to be solved.Empowered Ownership: We value autonomy and trust our engineers to influence product direction and take full ownership of the systems they develop.Exceptional Team: Join an elite group of professionals from top-tier companies like Apple AI, Microsoft Research, Google, and others, and learn from the best in the industry.Your RoleAs a Software Engineer - MTS at Context AI, you will develop the foundational platform that empowers AI agents to execute complex and high-stakes tasks for Fortune 100 enterprises. You will be at the cutting edge of technology, shaping the future of work.

About Context AIJoin us in revolutionizing productivity for knowledge workers.At Context AI, we are pioneering the future of enterprise AI—developing systems that go beyond merely answering questions or automating straightforward tasks, to executing complex, judgment-intensive work that significantly impacts business outcomes. The main barrier to AI delivering true enterprise value is no longer model intelligence; it is institutional intelligence. This involves understanding organizational operations, the locations of vital information, important quality standards, and the actual workflows within a business.Our platform addresses this challenge by autonomously learning the unique context of each organization—the tribal knowledge, business rules, internal language, and tacit expertise that define high-quality work. Every task on Context connects to extensive data across entire codebases, data rooms, and operational systems, allowing AI agents to undertake genuine tasks traditionally performed by knowledge workers: engineers analyzing firmware logs for root cause identification, bankers conducting due diligence on massive data rooms, analysts updating deliverables with real-time market data, and consulting teams developing client presentations and websites.We have validated our system with Fortune 100 clients, achieving productivity enhancements of 30-40%, reducing cycle times by over 90%, and deploying solutions in days instead of months. Context AI operates continuously across global teams, enabling knowledge workers to concentrate on strategic initiatives and explore new growth opportunities.Why Choose Context AI?Transformative Impact: The potential of enterprise AI is limitless, and we are at the forefront. Here, you will develop software that revolutionizes the work experience for thousands of engineers, bankers, analysts, consultants, product managers, lawyers, and more.Engaging Technical Challenges: Design innovative systems that have never been built before to solve unprecedented problems.Meaningful Ownership: We empower our team members to have a direct influence on product direction and to own entire systems. At Context, you will propose, build, and ship features with full autonomy.Elite Team Collaboration: Join a world-class team comprised of talent from Apple AI, Microsoft Research, Google, Stripe, Ramp, and more. Work alongside and learn from the best in the industry.Your RoleAs a Forward Deployed Software Engineer (FDSE) at Context AI, you will be at the intersection of cutting-edge AI and real-world complexity. You will engage directly with Fortune 100 clients to build AI agents capable of executing challenging tasks...

About Context Context builds AI platforms that help companies capture and manage their own knowledge, procedures, data, and objectives, using intelligent agents. These agents work with human teams to handle complex, ongoing tasks inside a unified office suite. Fortune 500 clients rely on Context to deploy these solutions securely. The team includes engineers and researchers with backgrounds at Apple, Ramp, Stripe, Meta, BAIR, and SAIL. Context’s products have reached over a million users and supported campaigns with audiences of more than 180 million. Backers include Lux Capital, Qualcomm Ventures, General Catalyst, and BoxGroup. Context moves quickly. Features developed one week are already in use by Fortune 100 teams the next, so the feedback loop is immediate and high-stakes. Summer Internship Overview This paid internship in San Francisco is for students who want to work on meaningful projects at a growing startup. Interns have the chance to ship code to production, collaborate with Fortune 500 clients, and take ownership of high-impact work. In previous summers, interns built platform integrations that are now used by major clients. Compensation $80,000 - $120,000 annual, prorated for the internship period Interview Process Behavioral screening Take-home case study or technical interview Two-day work trial (timing is flexible) Location San Francisco, CA (in-office)

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.

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.

Join Our Innovative Team at David AIDavid AI is pioneering the audio data research landscape. We adopt a rigorous R&D methodology for developing datasets that parallels the standards upheld by leading AI laboratories. Our vision is to seamlessly integrate AI into everyday experiences, with audio serving as the perfect conduit. The evolution of audio AI is rapidly unfolding, yet the availability of high-quality training data remains a critical challenge. This is where David AI steps in.Founded in 2024 by a talented group of former engineers and operators from Scale AI, we have quickly become a trusted partner to numerous FAANG companies and AI research labs. Recently, we secured $50 million in a Series B funding round with notable investors, including Meritech, NVIDIA, and Alt Capital.Our culture is built on sharp intellect, humility, ambition, and a close-knit community. We invite exceptional minds in research, engineering, product development, and operations to join us as we advance the field of audio AI.Research Team OverviewAt David AI, we are convinced that superior model capabilities stem from high-quality, differentiated data. Our research team is dedicated to conducting ambitious, long-term studies into audio technology while collaborating with both internal and external partners to implement cutting-edge research insights into practical applications.Your Role as a Founding Audio AI Research EngineerIn this position, you will establish the research framework that influences how premier AI labs develop their audio models. You will have access to a top-tier team of human AI trainers, robust computing resources, and the autonomy to shape your research agenda.Key ResponsibilitiesCreate and implement comprehensive evaluation frameworks for assessing audio AI capabilities in areas such as speech, emotion detection, conversational dynamics, and acoustic patterns.Investigate and prototype innovative methodologies for audio quality assessment, automated labeling, and optimizing data collection processes.Design focused data collection pipelines aimed at capturing novel, high-value audio capabilities.Develop automated systems for ongoing classifier enhancement and prompt engineering evaluation.Assess cutting-edge models and formulate actionable research strategies.Publish your findings in prestigious conferences.

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.

About the Role Hex Technologies is at the forefront of the AI revolution, providing an innovative platform that transforms modern Data Science and Data Analytics workflows. As an AI Research Engineer, you will collaborate with product teams to create cutting-edge AI experiences, including the Notebook Agent. Your responsibilities will include conducting experiments, fine-tuning models, deploying AI infrastructure, and developing robust experimentation tools. Your primary focus will be enhancing Hex's context engine and advancing the capabilities of our Notebook Agent, designed for professionals engaged in complex and impactful data tasks. The Notebook Agent serves as a sophisticated data copilot, capable of writing SQL and Python, crafting visually stunning reports, and collaborating with analysts to explore new data inquiries. Your efforts will help data teams within Hex deliver highly accurate and tailored data experiences for their stakeholders, empowering data-driven decision-making across the organization. If you are a passionate builder eager to amplify these capabilities for thousands of users, join us on the leading Data Science platform with unparalleled user context.

Join Perplexity in our mission to redefine the future of AI-powered search and agent experiences! We are on the lookout for exceptional AI Research Scientists and Engineers who are eager to push the boundaries of technology. Our innovative products, including Sonar models, Deep Research Agent, Comet Agent, and advanced search tools, are designed to handle hundreds of millions of queries and are scaling rapidly. If you have a passion for cutting-edge AI and want to contribute to state-of-the-art experiences, we would love to hear from you!Team StructureDepending on your interests and expertise, you will have the opportunity to collaborate within one of three specialized teams:1. Core Research TeamThis team focuses on the generation and enhancement of foundational models that underpin all our products, emphasizing core model capabilities and the development of infrastructure that serves the entire organization.2. Agent Products TeamThis team specializes in fine-tuning and optimizing models specifically for our Deep Research Agent and Labs/Canvas products, ensuring that our agent functionalities provide exceptional user experiences.3. Comet Agent TeamDedicated to the development and refinement of the Comet Agent product, this team addresses the unique requirements and optimizations necessary for Comet's specific use cases.ResponsibilitiesResearch & DevelopmentPost-train state-of-the-art large language models (LLMs) using cutting-edge supervised and reinforcement learning methodologies (SFT/DPO/GRPO).Utilize our comprehensive query-answer dataset to scale model performance across our Sonar, Deep Research, Comet, and Search products.Remain abreast of the latest advancements in LLM research, focusing on model training, optimization, and personalization techniques.Implement preference optimization and personalization features to elevate user experience.Innovate and develop in-house enhancements and optimizations for state-of-the-art models.Translate research ideas into algorithms and conduct experiments to deploy new models.Infrastructure & ImplementationOversee the full-stack data, training, and evaluation pipelines that are essential for model development.Create robust and efficient training frameworks (based on Megatron/PyTorch) for post-training LLMs.Establish necessary infrastructure components to support cutting-edge model development.

Company OverviewEcho Neurotechnologies is an innovative startup in the Brain-Computer Interface (BCI) sector, pioneering advancements through superior hardware engineering and artificial intelligence solutions. Our mission is to develop state-of-the-art technologies that empower individuals with disabilities, enhancing their independence and overall quality of life.Team CultureBecome a part of a dynamic team of passionate and knowledgeable professionals. Our early-stage environment allows you to influence critical decisions that lead to significant and long-term impacts. We value ongoing learning and development, promoting cross-functional collaboration where your input is essential to our success.Job SummaryWe are looking for an adept Applied AI Scientist specializing in language and contextual modeling to enhance our team. The successful candidate will utilize machine learning and AI principles to design, develop, optimize, personalize, and miniaturize advanced language and context models for brain-computer interface applications, aiming to make a tangible difference in the lives of patients with physical disabilities.Key ResponsibilitiesLanguage modeling: Utilize your deep understanding of language models (LMs) to develop tailored solutions for brain-computer interface applications, including fine-tuning and customization of large language models (LLMs).Context modeling: Create and implement machine learning pipelines that facilitate real-time inference across multiple input streams, deploying both proprietary and industry-standard models to analyze audio, video, and application states.General ML practices & adherence to company standards: Focus on model dissection for enhanced interpretability, enabling the extraction of rich latent representations from extensive models for broader application.

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.

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.

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are reliable, interpretable, and controllable. Our mission is to ensure that artificial intelligence remains safe and beneficial for individuals and society at large. Our rapidly expanding team comprises passionate researchers, engineers, policy experts, and business leaders collaborating to create positive AI solutions.About the TeamAs the scale of AI training and deployment increases, so does the volume of data that requires monitoring and comprehension. Our team utilizes Claude to interpret this data effectively. We manage an integrated suite of tools that empowers Anthropic to pose open-ended inquiries, identify unexpected patterns, and maintain significant human oversight over extensive datasets.Our tools are widely utilized internally, driving ongoing enforcement, threat intelligence investigations, model audits, and much more. We are seeking skilled engineers and researchers to enhance existing applications and innovate new ones from the ground up.About the RoleAs a Research Engineer on our team, you will design and develop systems that enable AI to analyze vast, unstructured datasets—think tens or hundreds of thousands of conversations or documents—and generate structured, reliable insights. You will engage with the entire technology stack, from foundational analysis frameworks to user-facing applications and interfaces.This is a high-impact position. The tools you create will be utilized by numerous researchers and investigators, directly influencing our capacity to assess and counteract both misuse and misalignment.

About Liquid AIFounded as a spin-off from MIT CSAIL, Liquid AI specializes in creating versatile AI systems designed for optimal performance across various deployment platforms, including data center accelerators and on-device hardware. Our technology emphasizes low latency, minimal memory consumption, privacy, and dependability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are on the lookout for exceptional talent to join our team.The OpportunityThe Data team at Liquid AI drives the development of our Liquid Foundation Models, focusing on pre-training, vision, audio, and emerging modalities. With the stagnation of public data sources, the effectiveness of our models increasingly relies on specially curated datasets. We are seeking engineers with a machine learning mindset who can efficiently gather, filter, and synthesize high-quality data at scale.At Liquid AI, we regard data as a research challenge rather than an infrastructural issue. Our engineers conduct experiments, design ablations, and assess how data-related decisions impact model quality. We will align you with a team where you can experience rapid growth and make a significant impact, be it in pre-training, post-training reinforcement learning, vision-language, audio, or multimodal applications.While we prefer candidates in San Francisco and Boston, we are open to considering other locations.What We're Looking ForWe are in search of a candidate who:Thinks like a researcher and executes like an engineer: You should be able to formulate hypotheses, conduct experiments, and evaluate results. Our engineers produce research-level code while our researchers implement production systems.Learns quickly and adapts: You will be working in rapidly evolving modalities, so the ability to quickly grasp new domains and thrive in ambiguity is essential.Prioritizes data quality: We hold data quality in high regard; tasks such as filtering, deduplication, augmentation, and evaluation are key responsibilities, not afterthoughts.Solves problems autonomously: Data engineers operate within training groups (pre-training and multimodal). While collaboration is crucial, we expect ownership and self-direction.The WorkDevelop and maintain data processing, filtering, and selection pipelines at scale.Establish pipelines for pretraining, midtraining, supervised fine-tuning, and preference optimization datasets.Design synthetic data generation systems utilizing large language models (LLMs), structured prompting, and domain-specific generative techniques.

Role Overview Context is hiring a Deployment Strategist for our San Francisco office. This role focuses on guiding how our solutions are deployed and integrated with client systems. The position works closely with teams across the company to support smooth implementation and address client requirements. What You Will Do Work with cross-functional groups to coordinate product deployments in client environments Assess client needs and recommend approaches for effective integration Analyze deployment processes and suggest improvements for delivery What We Look For Strong problem-solving skills Comfort working in changing or ambiguous situations Interest in using technology to help clients achieve business goals

At Netic, we are revolutionizing the essential services sector with our advanced AI-driven revenue engine, which supports the backbone of the American economy.Backed by $43M in funding from illustrious investors such as Founders Fund, Greylock, Hanabi, and Dylan Field, who spearheaded our Series B, we have empowered our clients to secure hundreds of thousands of jobs across various service industries throughout North America. Our platform has enabled companies to operate with an AI-first approach.Join our innovative team of relentless builders hailing from renowned organizations like Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard. Together, we are applying frontier AI to solve complex challenges in the physical economy, where data is intricate and the results are both immediate and impactful.As an Applied AI Research Engineer, you will immerse yourself in pioneering research, gain a thorough understanding of the business functions we automate, and lead targeted machine learning projects that yield remarkable outcomes.

Join Our Innovative TeamAt OpenAI, we are pioneering the field of artificial intelligence, empowering innovation and shaping the future through transformative research. Our mission is to democratize AI, ensuring its benefits are accessible to all. We are on the lookout for forward-thinking Research Engineers to join our Applied Group, where you will convert groundbreaking research into practical applications that can revolutionize industries, enhance human creativity, and tackle complex challenges.Your Impactful RoleAs a Research Engineer within OpenAI's Applied Group, you will collaborate with some of the brightest minds in AI. Your work will involve deploying cutting-edge models in production settings, transforming theoretical breakthroughs into impactful solutions. If you are passionate about making AI technology accessible and effective, this is your opportunity to leave a significant impact.In this role, you will:Innovate and Deploy: Create and implement advanced machine learning models addressing real-world issues. Translate OpenAI's research from theory to practice, developing AI-driven applications that make a meaningful difference.Collaborate with Experts: Engage closely with researchers, software engineers, and product managers to comprehend intricate business challenges and deliver AI-based solutions. Become part of a vibrant team where creativity and ideas flourish.Optimize and Scale: Develop scalable data pipelines, fine-tune models for peak performance and precision, and ensure readiness for production. Contribute to projects that leverage state-of-the-art technology and innovative methodologies.Learn and Lead: Stay at the forefront of advancements in machine learning and AI. Participate in code reviews, share insights, and exemplify best practices to maintain high standards in engineering.Make a Difference: Oversee and maintain deployed models, ensuring they consistently deliver value. Your contributions will directly shape how AI benefits individuals, businesses, and society as a whole.You may excel in this position if you possess:A Master's or PhD in Computer Science, Machine Learning, Data Science, or a related discipline.Proven experience in deep learning and transformer models.Expertise with frameworks such as PyTorch or TensorFlow.A robust understanding of data structures, algorithms, and software engineering principles.Experience with cloud platforms and deploying machine learning models in production.

Join Our Innovative TeamAt OpenAI, our Safety Systems team is at the forefront of ensuring that AI models are safe, robust, and reliable for real-world applications. We are committed to the principle set forth in our charter: to widely distribute the benefits of AI technology. Our Health AI unit is dedicated to providing equitable access to high-quality medical information. By bridging AI safety research with healthcare applications, we strive to develop trustworthy AI systems that empower medical professionals and enhance patient care.The OpportunityWe are on the lookout for passionate researchers who are eager to contribute to AI safety and improve health outcomes globally. As a Health AI Research Scientist, your role will involve developing safe and effective AI models tailored for healthcare applications. You will implement innovative methods to enhance the behavior, knowledge, and reasoning capabilities of our models. This necessitates research into safety and alignment techniques that can be generalized to ensure a beneficial AGI.This position is based in San Francisco, CA, utilizing a hybrid work model (3 days in the office per week) and we provide relocation assistance for new hires.Key Responsibilities:Design and implement scalable methods to enhance the safety and reliability of our models, such as Reinforcement Learning from Human Feedback (RLHF), automated red teaming, and scalable oversight.Assess methodologies using health-related data to ensure models deliver accurate, reliable, and trustworthy information.Develop reusable libraries to apply general alignment techniques across our models.Proactively analyze the safety of our models and systems, identifying potential risk areas.Collaborate with cross-functional teams to embed safety methods into core model training and drive safety improvements in OpenAI products.Ideal Candidate Profile:Align with OpenAI’s mission to ensure AGI benefits everyone and resonate with our charter.Exhibit a strong passion for AI safety and enhancing global health outcomes.Possess 4+ years of experience in AI research, with a focus on health applications.Demonstrate proficiency in machine learning frameworks and safety techniques.Showcase effective communication skills for cross-team collaboration.

About Resolve AIAt Resolve AI, we are redefining the role of software maintenance and production troubleshooting by creating a revolutionary, fully autonomous AI Production Engineer. Our technology is designed to diagnose and resolve intricate system issues from start to finish.Founded by industry leaders Spiros Xanthos and Mayank Agarwal, who are the masterminds behind OpenTelemetry and have previously spearheaded initiatives at Splunk Observability, our team boasts two successful exits to Splunk and VMware.Having successfully secured over $150M in funding from prestigious investors like Lightspeed, Greylock, and Unusual Ventures, alongside notable individuals such as Jeff Dean (Chief Scientist, Google DeepMind) and Fei-Fei Li (Professor, Stanford), we are well-positioned for growth.Joining Resolve AI now presents a unique opportunity to be part of an AI-driven company that is at the forefront of transforming engineering workflows.