Research Engineer, Operations

About BasisBasis is a pioneering nonprofit organization specializing in applied AI research, dedicated to two interrelated goals.The primary objective is to comprehend and develop intelligence. This entails establishing the mathematical foundations of reasoning, learning, decision-making, understanding, and explanation; as well as creating software that embo…

About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research, driven by two interlinked objectives.The first goal is to comprehend and construct intelligence. This involves establishing the mathematical foundations of reasoning, learning, decision-making, understanding, and explanation, alongside developing software that embodies these principles.The second objective is to enhance society's capacity to tackle complex challenges. This entails broadening the range, complexity, and scope of problems we address today, while importantly expediting our future problem-solving capabilities.To realize these ambitions, we are establishing a novel technological foundation inspired by human reasoning, as well as a unique collaborative organization that prioritizes human values.About the RoleAs a Research Engineer on the Platform team at Basis, you will propel research methodologies forward and package them into modular components for reuse by others. Your responsibilities include developing core technology modules (such as ChiRho, Effectful, Weighted), enhancing research-backed features for commercial platforms, and ensuring that research advancements lead to tangible impacts—both commercially and socially.We are seeking individuals who can merge research excellence with engineering precision. The ideal candidate has a background in both published research and production code, possesses the ability to translate experimental techniques into solid implementations, and thoughtfully approaches software architecture to facilitate others in building upon your contributions. You will identify high-impact research challenges aligned with Basis's mission and guide them from conception to concrete execution.This position is distinct from Operations Research Engineers (who concentrate on internal tools) as it emphasizes advancing research methods for platform and commercial applications. You will collaborate on Core Tech Module Teams and contribute to research that shapes the technological bedrock of Basis.We value individuals who excel at technical tasks and are unafraid to delve into foundational concepts. Our research engineers strive for thorough, high-quality, robust science and engineering, while embracing experimentation, learning from mistakes, and exploring unconventional ideas to achieve their goals.Basis thrives on collaboration, both internally and with our external partners; we seek individuals who enjoy working collectively on challenges that exceed individual capabilities.

About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research, driven by dual objectives that enhance each other.Our primary focus is to understand and construct intelligence. This encompasses establishing the fundamental mathematical principles of reasoning, learning, decision-making, comprehension, and explanation, alongside developing software that embodies these principles.Secondly, we aim to empower society to tackle complex challenges. This involves broadening the scale, complexity, and scope of problems we can currently address and, crucially, accelerating our future problem-solving capabilities.To realize these ambitions, we are establishing an innovative technological framework inspired by human reasoning and fostering a collaborative environment that prioritizes human values.About the RoleAs a Research Engineer, you will play a vital role in advancing Basis’ mission by converting research concepts into accurate, robust, and scalable high-quality code.We are looking for technically proficient individuals who are enthusiastic about delving deep into foundational concepts. Our research engineers are committed to conducting rigorous, high-quality science, unafraid to experiment, learn from mistakes, and explore innovative ideas.Basis thrives on collaboration, both within our team and with external partners. We seek individuals who enjoy tackling challenges greater than they can manage alone.Machine Learning Research Engineer Focus AreasThis position is aimed at experts in machine learning engineering. Key areas of focus include:Probabilistic programming and statistical inferenceDeep learningCausal inferenceProgram synthesis and analysisML Ops and systems engineeringThese areas will be explored in the context of developing reasoning systems. Research engineers will also engage with topics including programming language design and implementation, automatic differentiation, and SAT/SMT solvers.

At Coram AI, we are revolutionizing video security for the contemporary landscape. Our innovative cloud-native platform leverages advanced computer vision and artificial intelligence to empower businesses to enhance safety, facilitate informed decision-making, and accelerate operations. This includes features such as real-time alerts, effortless clip sharing, and comprehensive visibility across multiple locations.Joining our agile and dynamic team means being part of a collaborative environment that prioritizes clarity, excellence, and impactful contributions. Every team member has a voice, delivers significant work, and plays a crucial role in shaping how AI can foster a safer and more interconnected world.We are seeking engineers who thrive at the nexus of robotics, real-time systems, and deep learning. This position focuses on implementing high-performance vision and multimodal models on robotic platforms, where factors such as latency, reliability, and hardware limitations are paramount.

FieldAI is at the forefront of revolutionizing robot interactions with the real world. Our dynamic R&D team, based in Boston, is committed to developing risk-aware, reliable, and field-ready AI systems that address the most challenging problems in robotics and unleash the potential of embodied intelligence. We adopt a pragmatic methodology that transcends traditional off-the-shelf and purely data-driven approaches, integrating cutting-edge research with practical deployment. Our solutions have been successfully implemented globally, and we continuously enhance model performance through rapid iterations informed by real-world applications.We are looking for a seasoned Senior Engineering Manager to lead an agile, high-performing team of research scientists and engineers at the cutting edge of robotics AI. In this pivotal role, you will craft and implement research strategies, oversee the creation of advanced AI algorithms, and steer initiatives from initial research to real-world deployment on physical robotic systems. You will harmonize deep technical leadership with effective people management, ensuring scientific excellence and tangible impact on the field.This is your chance to influence the future of robotic autonomy by transforming groundbreaking research into systems that function reliably in complex, dynamic environments on actual robots.

About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research. Our mission is twofold: to deepen our understanding of intelligence and to empower society in solving complex, challenging problems.Our first objective is to comprehend and construct intelligence. This involves establishing foundational mathematical principles for reasoning, learning, decision-making, comprehension, and explanation, while also developing software that embodies these principles.Secondly, we aim to enhance society’s capability to tackle intractable issues. This includes broadening the scope and complexity of problems we can address today and accelerating our future problem-solving abilities.To accomplish these objectives, we are creating a technological infrastructure inspired by human reasoning and fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist, you will spearhead Basis’ initiatives to unravel the conceptual, mathematical, and computational foundations of intelligence. We seek individuals with exceptional technical skills who are eager to explore foundational concepts. Our research scientists and engineers are committed to conducting rigorous, high-quality scientific investigations, while also embracing the opportunity to experiment, learn from errors, and explore innovative ideas.Collaboration is integral to our work, both internally and with external partners. We are searching for individuals who thrive in team settings, tackling challenges that transcend individual capabilities.Key Expectations:Proven ability to conduct high-quality scientific research, demonstrated through publications, technical reports, or software projects.Preferred Qualifications:PhD or equivalent experience in relevant fields such as statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, or mathematics.Enthusiasm for addressing real-world challenges and contributing to positive societal change.ResponsibilitiesDevelop and investigate computational theories of intelligence, encompassing reasoning, learning, and decision-making.Collaborate closely with domain experts, both within Basis and externally, to contribute to solving scientific problems.

As an AI Research Engineer at Datadog, you will collaborate closely with our research scientists to transform innovative research concepts into functional systems. You will play a vital role in developing the data, tools, and infrastructure necessary for rapid iteration, thorough evaluation, and seamless transition from prototype to production. Building on our successful history of AI-driven solutions such as Bits AI, Watchdog, and Toto, Datadog AI Research is dedicated to tackling ambitious projects that address real-world challenges in cloud observability and security. Our current research focuses on three key areas: Observability Foundation Models – Creating advanced models for forecasting, anomaly detection, and multi-modal telemetry analysis (including logs, metrics, traces, etc.). These models will serve as the foundation for our agents to analyze telemetry data natively. High-Impact AI Projects – Engaging in projects that push the boundaries of AI applications in observability and security. Collaborative Research – Partnering with cross-functional teams to enhance our AI capabilities.

About BasisBasis is a nonprofit organization dedicated to applied artificial intelligence research. Our mission is twofold: to understand and build intelligence and to advance society’s problem-solving capabilities. We strive to unravel the mathematical principles behind reasoning, learning, decision-making, understanding, and explanation, while also developing software that embodies these principles.Our commitment extends to enhancing our ability to tackle complex issues that are beyond today's capabilities and accelerating our potential to address future challenges. We are creating a technological framework inspired by human reasoning, alongside fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist, you will spearhead Basis’ initiatives to deepen our understanding of the conceptual, mathematical, and computational principles of intelligence. We seek individuals who excel technically and are passionate about exploring foundational concepts. Our research team values rigorous, high-quality scientific endeavors while encouraging experimentation and exploration of innovative ideas.Basis thrives on collaboration, both internally and with external partners. We are looking for team players who enjoy tackling significant problems that require collective effort.Research FocusDespite the growing acknowledgment that acquiring and understanding world models is crucial for intelligence, current AI systems face challenges in mirroring this human capability. Key uncertainties remain regarding the essence of a world model, methods for reliably detecting its presence in agents, and approaches to develop agents capable of learning these models effectively.Our research, particularly within the MARA project, seeks to establish new foundations and technologies for modeling, abstraction, and reasoning in AI systems. MARA's goal is to identify principled methods for how intelligence constructs, refines, and employs world models through interactive experimentation. Achieving this will require advancements in knowledge representation, abstraction, reasoning, active learning, and reinforcement learning, necessitating a first-principles reevaluation of world modeling.

EnCharge AI is at the forefront of developing cutting-edge AI hardware and software systems for edge-to-cloud computing. Our innovative in-memory computing technology significantly enhances computational efficiency and density, surpassing the capabilities of today’s leading solutions. The high-performance architecture, combined with seamless software integration, unlocks the vast potential of AI for applications constrained by power, energy, and space. Founded in 2022, EnCharge AI is led by a team of seasoned technologists with extensive backgrounds in semiconductor design and AI systems.About the RoleWe are seeking a skilled AI Research Engineer to refine deep learning models tailored for deployment on edge AI platforms. Your expertise will be crucial in model compression, quantization strategies, and implementing efficient inference techniques to enhance AI workload performance.

About BasisBasis is a pioneering nonprofit organization focused on applied AI research, driven by dual objectives.Our first goal is to comprehend and construct intelligence. We endeavor to lay down the mathematical principles defining reasoning, learning, decision-making, understanding, and explanation, while also developing software that embodies these principles.The second aim is to enhance society's capability to tackle complex challenges. We strive to broaden the scale, complexity, and diversity of problems we can address today, and more critically, to hasten our capacity to resolve future challenges.To fulfill these ambitions, we are creating an innovative technological foundation inspired by human reasoning, alongside a collaborative organization that prioritizes human values.About the RoleAs a Data Engineer on the Platform team at Basis, you will be responsible for constructing reliable data pipelines featuring comprehensive provenance and quality controls. You will curate documented datasets for training and evaluation while ensuring that our data infrastructure scales effectively. Your work will encompass both platform-specific data needs and cross-project data coordination, minimizing redundancy and fostering shared datasets.We are in search of technically proficient individuals who regard data quality as paramount. The ideal candidate has experience with machine learning data pipelines, understands the complete lifecycle from raw data to model training and evaluation, and approaches data provenance, lineage tracking, and quality assurance with rigor. You will blend software engineering best practices with a profound understanding of data systems and machine learning requirements.This role operates across both the Platform and Research teams, working on infrastructure that supports our commercial offerings and internal research initiatives. You will play a vital role in scaling Basis's data operations to support medium-scale models, ensuring data governance as we cater to external clients, and building systems that researchers can rely on for reproducible experiments.We seek individuals who are committed to executing high-quality, robust data engineering while remaining open to iteration, learning from real-world usage, and exploring diverse approaches to achieve excellence.At Basis, collaboration is key—both internally and with our external partners. We value those who enjoy laying the groundwork for solving grand challenges that extend beyond individual efforts.

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.

Epoch AI is on the lookout for talented researchers to spearhead innovative projects across various expanding teams.About the RoleWe are in search of both Researchers and Senior Researchers dedicated to enhancing society's comprehension of AI capabilities and their evolution. Core responsibilities include shaping our future research directions and initiating new inquiries into critical AI trends. As a fully remote organization, we welcome applicants from a wide range of countries spanning Pacific Time to Central European Time. We encourage individuals from diverse backgrounds, experiences, and qualifications to apply. Please refrain from submitting a cover letter, photograph, or any personal information unrelated to the role, such as marital status, age, or identity traits. This position will remain open as we continuously seek exceptional individuals to enrich our team.

About BasisBasis is a nonprofit organization dedicated to applied AI research, striving to achieve two interconnected objectives.Firstly, we aim to understand and develop intelligence. This involves establishing the mathematical foundations of reasoning, learning, decision-making, comprehension, and explanation; along with creating software that embodies these principles.Secondly, we seek to enhance society's capacity to address complex challenges. This means broadening the range, scale, and intricacies of the problems we can tackle today, while also accelerating our ability to solve future challenges.To fulfill these missions, we are constructing a novel technological framework inspired by human reasoning, and fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist, you will spearhead Basis's initiatives to deepen our comprehension of the theoretical, mathematical, and computational aspects of intelligence.We seek individuals with exceptional technical skills who are passionate about exploring concepts at their core. Our research scientists and engineers are committed to conducting rigorous, high-quality, and robust scientific inquiry, yet they embrace experimentation, learning from mistakes, and exploring innovative ideas to achieve their goals.Basis thrives on collaboration, both internally and with external partners; thus, we value team players who relish tackling challenges that surpass individual capabilities.Research FocusOur research under the MARA project is dedicated to forging new principles and technologies for modeling, abstraction, and reasoning in AI systems. The primary aim of MARA is to reveal principled methodologies for how intelligence constructs, refines, and applies world models through interactive experimentation.For this position, we specifically seek experts in Reinforcement Learning & Planning who can push the boundaries of model-based RL, exploration strategies, optimal control, and Bayesian optimization. You will develop agents capable of learning efficient policies in intricate, partially observable environments by utilizing structured world models.

Are you excited about pushing the frontiers of artificial intelligence and machine learning? Cobot, a forward-thinking startup, is on the lookout for a skilled AI Research Engineer to become a vital part of our Foundational Models AI team. This position is perfect for those who are both researchers and builders, capable of transforming groundbreaking concepts into functional prototypes that redefine intelligent systems.In this dynamic role, you will collaborate closely with an agile team of AI researchers and engineers, delving into areas such as reinforcement learning, transformer-based architectures, and diffusion models. Your responsibilities will include designing, developing, and rapidly iterating on machine learning experiments, contributing significantly to the evolution of foundational models that will shape the future of autonomous systems and intelligent robotics.Join us in reimagining the landscape of human-robot interaction.Cobot is a collective of innovators and creators dedicated to transforming the future of human-robot interactions. We envision a world where robots seamlessly integrate into our everyday lives, functioning and adapting around us rather than the other way around.This position is based onsite at our Seattle, WA office.Cobot offers a relocation stipend for candidates moving to Seattle from over 50 miles away.

Join Brightstar AI as the Head of our AI Think Tank, where you will lead innovative research initiatives and drive the future of artificial intelligence. As a visionary leader, you will oversee a team of experts, collaborate with industry partners, and shape cutting-edge projects that will transform technology and society.

Discover Applied IntuitionFounded in 2017 and currently valued at $15 billion, Applied Intuition, Inc. is at the forefront of advancing physical AI technologies. Our mission is to establish the digital infrastructure that will integrate intelligence into moving machines worldwide. We cater to diverse sectors including automotive, defense, trucking, construction, mining, and agriculture, focusing on three key areas: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by leading global automakers and the United States military. Headquartered in Sunnyvale, California, we also have offices in major cities worldwide including Washington, D.C., San Diego, Ft. Walton Beach, Ann Arbor, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Explore more at applied.co.As an in-office company, we expect our employees to work from the Applied Intuition office five days a week. We also value flexibility, allowing for responsible management of schedules, which may include occasional remote work or adjusted hours for family commitments.Role Overview and Team DynamicsWe are excited to invite multiple passionate Research Engineers to join our Research Group at Applied Intuition. Our mission is to pioneer groundbreaking technology that will drive the next generation of physical AI, focusing on challenging applications such as end-to-end autonomous driving and robotic generalists. The team comprises leading experts recognized for their academic and industry contributions, including several Best Paper awards from premier conferences like CVPR and ICRA. Learn more about our research initiatives at appliedintuition.com/research.With access to industry-leading tools and infrastructure, our researchers can utilize millions of miles of data from extensive fleets, deploying innovative methods across various autonomous and robotic systems, including self-driving vehicles.

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.

Role Overview Ridgeline is looking for a Senior Staff AI Research Engineer to join the AI Platform team in New York, NY. This group focuses on advancing AI research and building practical solutions for complex, real-world problems. The position centers on evaluating machine learning models and large language models (LLMs) to improve their performance and impact. What You Will Do Design and build frameworks, tools, and systems that use advanced AI technologies. Architect and implement end-to-end AI systems that address challenging business needs. Prototype multi-stage processing structures as part of the research-to-production workflow. Develop evaluation frameworks and benchmarks for model accuracy, consistency, and cost-effectiveness. Work closely with business teams to validate and refine AI-powered tools. Create reusable AI capabilities that can be applied across different business areas, with a focus on investment management operations. About the Team The AI Platform team at Ridgeline drives the adoption of state-of-the-art AI across the company. The group values innovative thinking and practical application, aiming to deliver solutions that shape the future of investment management.

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.