Senior Research Engineer

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 embodies these principles.The secondary goal is to enhance society's capacity to tackle complex challenges. This involves broadening the scale and complexity of the problems we can address today and, more importantly, accelerating our future problem-solving capabilities.To realize these ambitions, we are constructing a new technological base inspired by human reasoning and fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Engineer in Operations at Basis, you will be instrumental in developing internal tools, automation, and measurement systems that significantly enhance researcher productivity and operational efficiency. Your work will involve creating tools that eliminate hours of manual tasks, automating proposal and CRM workflows, and offering analytics to guide strategic decisions as Basis expands.We seek individuals who are technically adept and possess a deep understanding of research workflows, enabling them to pinpoint high-impact automation opportunities. An ideal candidate has experience in converting research concepts into reliable code, building automation systems powered by LLMs, and designing user-friendly tools for researchers. Your contributions will range from researcher productivity enhancements to GTM automation and analytics infrastructure.This position is vital to Basis's growth strategy, transforming operations from manual to automated processes that facilitate scalable growth with sustainable results.We are looking for innovative thinkers who are technically accomplished and eager to explore foundational concepts. Our research engineers strive to develop high-quality, robust tools, unafraid to experiment, learn from mistakes, and explore unconventional ideas to achieve their goals.Basis thrives on collaboration, both internally and with our partners; we seek individuals who are passionate about empowering others to achieve milestones they couldn't accomplish alone.

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.

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.

Bravos Research stands at the forefront of investment research and financial media, specializing in video-first content. Our mission is to empower investors with insightful, data-driven research to navigate the complexities of global markets.As the proud creator of the largest investment research channel on YouTube, we have amassed over 75 million views and a substantial subscriber base for our premium research services.We are on the lookout for a Senior Research Analyst who can merge institutional-level macroeconomic insights with captivating storytelling. In this role, you will transform intricate economic data into engaging narratives and manage the end-to-end research and scriptwriting process for our animated videos, focusing on US and global macro trends, liquidity, credit markets, commodities, and cryptocurrencies.Key Responsibilities:Produce high-conviction insights regarding global business cycles, equity markets, central bank policies, and asset allocation strategies.Craft compelling, thoroughly sourced scripts that simplify complex economic concepts for a broad audience without compromising depth.Collaborate with team members to establish the firm's investment strategy and overarching perspectives.

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.

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.

About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research, driven by a dual mission.Firstly, we aim to deepen our understanding and development of intelligence. This involves establishing the mathematical foundations of reasoning, learning, decision-making, understanding, and explanation, along with creating software that embodies these principles.Secondly, we strive to enhance society’s capacity to tackle complex challenges. This means broadening the scale and complexity of the problems we can address today, while also accelerating our future problem-solving capabilities.To realize these aims, we are constructing an innovative technological framework inspired by human reasoning and fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist at Basis, you will play a crucial role in advancing our understanding of the theoretical, mathematical, and computational principles underlying intelligence.Our Research Scientists possess key characteristics:Outstanding technical expertise—strong mathematical and computational foundations.A creative builder’s mindset—capable of designing, constructing, and refining complex systems based on foundational principles.Commitment to scientific rigor—engaging in high-quality, robust scientific inquiry without hesitance to experiment, learn from mistakes, and explore unconventional ideas.At Basis, collaboration is key, both within our teams and with external partners. We seek individuals who thrive in collaborative environments and are eager to tackle challenges that transcend individual capabilities.Programming Languages Research ScientistsThis role is tailored for experts in the design, implementation, and analysis of programming languages. You will assist in the design and implementation of the foundational computational reasoning systems under development at Basis.Key focus areas of programming languages research include compiler design, partial evaluation, program analysis, abstract interpretation, and program transformation. This work is conducted within the context of constructing reasoning systems, leading to engagement with topics such as probabilistic programming, automatic differentiation, and SAT/SMT solvers.Expectations:Possess a PhD (or equivalent experience) in a relevant field.

About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research, pursuing two interconnected goals.Our primary objective is to understand and create intelligence. This involves formulating the mathematical foundations of reasoning, learning, decision-making, understanding, and explanation, while developing software that embodies these concepts.The second goal is to enhance society’s capacity to solve complex challenges. We aim to broaden the scope, intricacy, and variety of challenges we can address today, and crucially, to expedite our ability to tackle future problems.To realize these objectives, we are constructing an innovative technological base inspired by human reasoning, and fostering a collaborative organizational culture that prioritizes human values.About the RoleAs a Research Scientist on the MARA (Modeling, Abstraction, and Reasoning Agents) initiative, you will be instrumental in developing computational theories of scientific reasoning in the realms of robotics and embodied intelligence. Your work will push the boundaries of world modeling, reinforcement learning, program synthesis, and robotic control, enabling systems to learn, reason about, and engage with the physical world.We are seeking outstanding researchers with a strong background in Program Synthesis & Neuro-symbolic Methods. The ideal applicant will have a robust publication record in esteemed venues, blending theoretical expertise with practical implementation skills, and a passion for building systems that emulate scientific learning—hypothesizing, experimenting, and modeling the workings of the world.In this role, you will collaborate with an interdisciplinary team to address fundamental inquiries: How can agents learn causal models through interaction? How do we connect high-level reasoning with low-level control? How can we produce interpretable, verifiable control programs instead of opaque policies?At Basis, we value collaboration, both within our team and with external partners; we seek individuals who thrive in teamwork on significant challenges that require collective effort.

Join our dynamic team at Anthropic as a Research Engineer or Research Scientist specializing in Tokens. In this role, you will engage in groundbreaking research and development, contributing to the advancement of our token systems and enhancing their capabilities. Your work will be pivotal in shaping the future of our technology and driving innovation in our projects.

About the FellowshipPostdoctoral Fellowships at Basis provide a unique opportunity for distinguished researchers to advance their expertise in the field of computational intelligence. This encompasses areas such as reasoning, learning, and decision-making. Fellows will collaborate closely with Basis Research Scientists and esteemed Principal Investigators (PIs) from leading academic institutions.About BasisBasis is a nonprofit organization dedicated to applied AI research, driven by two interdependent goals.Our primary aim is to understand and develop intelligence. This involves establishing the mathematical foundations of reasoning, learning, decision-making, comprehension, and explanation; and creating software that embodies these principles.Secondly, we strive to enhance society's capability to tackle complex problems. This entails broadening the scope and complexity of challenges we can address today and, crucially, expediting our future problem-solving abilities.To fulfill these objectives, we are constructing a new technological framework inspired by human reasoning and fostering an innovative collaborative organization that prioritizes human values.How it WorksPostdoctoral Fellows at Basis are jointly mentored and funded by Basis and partner PIs from academic institutions. Fellows will divide their time between Basis and their academic PI's lab, functioning as part of a jointly advised postdoctoral program.Our established partner PIs include: Nada Amin (Harvard), Kevin Ellis (Cornell), Armando Solar-Lezama (MIT), Youssef Marzouk (MIT), and Tom Silver (Princeton).Each Fellow is paired with a mentor from Basis, chosen to align with their research interests and aspirations.Potential Basis mentors possess a wealth of expertise in various fields, ensuring a tailored and enriching mentorship experience.

About BasisBasis is a pioneering nonprofit organization specializing in applied AI research, dedicated to achieving two synergistic objectives.The first objective is to comprehend and develop intelligence. This encompasses establishing the mathematical foundations of reasoning, learning, decision-making, understanding, and explanation; subsequently, we construct software that embodies these principles.The second objective is to enhance society's capacity to tackle complex issues. This involves broadening the scope, intricacy, and variety of challenges we can address today, while also accelerating our future problem-solving capabilities.To fulfill these ambitious goals, we are creating a robust technological foundation inspired by human reasoning, alongside a collaborative organization that prioritizes human values.About the RoleWe are in search of a Technical Program Manager who possesses a deep passion for program management and is eager to propel ambitious research initiatives. In this role, you will be the crucial link connecting our researchers, engineering teams, leadership, and external partners, requiring both technical acumen and project management skills.

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.

Role overview Decagon seeks a Staff Research Engineer based in New York City. This position helps guide research efforts and supports the development of technical solutions that serve a range of industries. The Staff Research Engineer works alongside a skilled team, taking projects from early ideas through to working implementations. What you will do Advance research initiatives at Decagon through direct engineering contributions Collaborate with team members to design and build new technical solutions Apply technical expertise to projects that impact several sectors Requirements Solid background in both research and engineering Interest in tackling complex technical problems Strong collaborator who values team-based problem solving

Tandem is looking for a Research Engineer to join the team in the New York office. This role centers on research and algorithm development that shape the company’s products and services. The position calls for regular collaboration with colleagues from different backgrounds to solve technical problems and deliver meaningful results. What you will do Advance Tandem’s technology and product offerings through focused research Create and refine algorithms for both new initiatives and ongoing projects Partner with teams across departments to address complex technical challenges Bring ideas and technical skills to projects that have a direct effect on Tandem’s work Location This position is located at Tandem’s New York office.

About BasisBasis is a nonprofit organization dedicated to advancing applied AI research with two interconnected objectives.Our primary goal is to understand and develop intelligence. This involves establishing the mathematical foundations of reasoning, learning, decision-making, comprehension, and explanation, as well as creating software that embodies these principles.The second objective is to enhance society’s capacity to tackle complex challenges. We aim to broaden the range, scale, and complexity of issues we can address today, while also accelerating our future problem-solving capabilities.To fulfill these objectives, we are constructing a new technological framework inspired by human reasoning and fostering a collaborative organization that prioritizes human values.About the RoleAs the Hardware Systems & Lab Engineer, you will play a pivotal role in both designing and constructing robotic hardware systems and overseeing the safe, efficient operation of our robotics lab. Your creations will serve as the physical embodiments of our AI research, while your management will facilitate rapid and secure experimentation.We seek an individual who marries hands-on engineering prowess with operational excellence. The ideal candidate will possess experience in building custom robotic systems, a thorough understanding of the complete mechatronics stack from sensors to actuators, and the capability to maintain a lab environment conducive to safe and productive research. You will design modular hardware for testbeds, develop sensor/actuator systems for experiments, and uphold the infrastructure essential for physical AI research.This position requires a balance of innovative hardware development with strict adherence to safety and operational protocols. You will collaborate closely with researchers to translate algorithmic needs into tangible systems, all while ensuring a well-organized, secure, and efficient laboratory setting.We are looking for candidates who excel in both the construction and operation realms, prioritize safety, and recognize that excellent research relies on robust infrastructure.

Who We AreAt Percepta, our mission is to revolutionize essential sectors through applied AI. We are dedicated to ensuring that key industries, such as healthcare, manufacturing, and energy, leverage cutting-edge technology. By collaborating with industry leaders, we facilitate AI transformation.Expertise in engineering, product development, and research.Mosaic, our proprietary toolkit for swift deployment of agentic workflows.Strategic alliances with companies such as Anthropic, McKinsey, AWS, and others in the General Catalyst portfolio.Our team is rapidly expanding, consisting of Applied AI Engineers, Embedded Product Managers, and Researchers who are passionate about integrating AI advancements into our daily lives. Percepta is a direct partnership with General Catalyst, a global leader in transformation and investment.About the RoleAs a Research Engineer/Scientist (Optimization) at Percepta, you will play a crucial role at the convergence of AI research and impactful real-world applications. You will push the boundaries of decision-making in vital industries by integrating state-of-the-art machine learning with robust optimization research. Collaborate closely with our Embedded Product Managers (EPMs) and engineers to ensure that our advanced decision systems are both innovative and practically beneficial for transforming organizational operations.ResponsibilitiesEstablish and lead ambitious research initiatives that broaden the horizons of data-driven decision-making.Develop innovative optimization and machine learning methodologies for significant challenges such as planning, scheduling, routing, pricing, and inventory management.Create high-fidelity simulators and comprehensive benchmarks that accurately reflect real-world constraints, uncertainties, and multi-objective trade-offs.Translate research into practical applications by partnering with engineers to swiftly prototype solutions and effectively implement research insights.You May Be a Great Fit If YouHold a degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics (MS/PhD preferred) or possess equivalent research or industry experience.Have demonstrated experience in optimization and machine learning.Exhibit a strong ability to collaborate and communicate effectively across multidisciplinary teams.

About BasisBasis is a nonprofit organization dedicated to advancing applied artificial intelligence through innovative research. Our mission encompasses two vital objectives.The first goal is to foster a deep understanding of intelligence. This involves uncovering the mathematical principles behind reasoning, learning, decision-making, and comprehension, while also developing software that encapsulates these principles.The second goal is to enhance society's capability to tackle complex challenges. We aim to broaden the range and complexity of problems we can address now and significantly improve our future problem-solving capacity.To realize these objectives, we are establishing an innovative technological foundation that draws inspiration from human reasoning and creating a collaborative organization that places human values at the forefront.About the RoleWe are on the lookout for talented Software Engineers who will develop scalable systems that seamlessly integrate large language models (LLMs) into our daily operational workflows. This role will focus on designing and implementing automated pipelines for various tasks, including recruitment, finance, and project management, often utilizing platforms like GPT, Claude, and other similar LLMs. We offer flexible arrangements, and we welcome contractors, part-time, or full-time team members.Core ResponsibilitiesDesign and maintain automation pipelines that integrate internal tools with GPT, Claude, and other LLMs.Consolidate data from third-party APIs (such as ATS platforms, Slack, Google) into cohesive, automated workflows.Utilize structured generation techniques (e.g., JSON schemas, function calling) to ensure accurate and reliable outputs from LLMs.Collaborate with Operations and R&D teams to pinpoint high-impact automation prospects.Craft production-quality code with a focus on modularity, reliability, and robust error handling.Deploy, scale, and optimize your solutions within a secure, cloud-based environment.Document solutions clearly for both technical and non-technical stakeholders to facilitate updates and maintenance.Qualifications and AttributesWe are seeking candidates who possess:3+ years of experience in programming with Julia and/or Python at a production level.A solid understanding of integrating LLMs using structured prompts and frameworks akin to LangChain.

About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research, driven by two key objectives.The first objective is to comprehend and develop intelligence. This encompasses establishing the mathematical foundations of reasoning, learning, decision-making, understanding, and explanation, while also creating software that embodies these principles.The second objective is to enhance society’s capacity to tackle complex challenges. This involves broadening the scope, scale, and complexity of problems we can address today, and crucially, accelerating our capacity to solve future problems.To fulfill these missions, we are constructing an innovative technological infrastructure inspired by human reasoning, along with a collaborative organization that prioritizes human values.About the RoleAs an ML Systems Engineer at Basis, you will ensure that our training and evaluation infrastructure is fast, reliable, and scalable. You will manage the entire stack, from distributed training frameworks to cloud administration, enabling researchers to rapidly iterate on complex models while efficiently managing computational resources.We are seeking engineers who possess a profound understanding of ML systems paired with operational excellence. The ideal candidate will have experience in distributed training at scale, expertise in debugging numerical instabilities, and the ability to manage cloud infrastructure that seamlessly transitions from experimentation to production. You will be the steward of training stability, an optimizer of computational costs, and a facilitator of reproducible research.This position encompasses both traditional ML engineering and cloud/DevOps responsibilities. You will oversee GPU clusters, optimize cloud expenditures, ensure security and compliance, and build the infrastructure that allows researchers to focus on algorithms rather than operations.We are looking for individuals who are committed to developing robust ML infrastructure, maintaining a culture of documentation for issues and solutions, and prioritizing operational excellence as a core value.