Research Engineer - Large Language Models

At CVector, we are dedicated to revolutionizing economic optimization and AI-driven predictions across energy and manufacturing sectors. Our vision is to empower industrial facilities to make informed decisions every minute, balancing cost, reliability, and margin through a unified decision-making layer that seamlessly integrates real-time asset constraints with market dynamics.This pivotal role is based in our New York City office, where our team collaborates four days a week to deliver solutions to clients across the country, operating in demanding industrial environments.Position OverviewThe Senior Research Engineer plays a crucial role in enhancing our modeling, analysis, and machine learning capabilities, enabling our clients to meet their economic, operational, and sustainability objectives. These modeling frameworks are essential to the functionality of CVector's AI Agents, ensuring customers receive precise and actionable insights based on real-world equipment and facility constraints.Reporting directly to the Chief Technology Officer, you will architect and implement models and analytical tools tailored for both standardized products and unique customer requirements. Your responsibilities will include the development and deployment of CVector's techno-economic analysis (TEA) and linear programming (LP) models, guiding clients on optimizing their operations for greater profitability, minimized energy expenses, and reduced emissions. Additionally, you will engage with our extensive library of machine learning and AI algorithms for time series analysis, anomaly detection, forecasting, and predictive maintenance.This role is perfect for a seasoned energy modeler or data scientist with a robust background in the energy or industrial sectors. We are looking for an individual who thrives in a dynamic startup atmosphere and enjoys collaborative efforts that engage founders, investors, clients, and team members alike.Key ResponsibilitiesEnhance CVector's modeling and analysis framework to support and improve the AI Agent experience.Integrate market data APIs for real-time insights on energy and commodity prices, carbon intensity, and weather forecasts.Apply various time series analysis techniques, leveraging AI/ML methodologies for energy forecasting and predictive maintenance.Utilize our algorithm training architecture to ensure high-quality results for our customers.Develop and implement techno-economic analysis (TEA) and linear programming (LP) models to optimize operations.Prepare and present TEA and LP model outcomes to clients, shaping their operational strategies.

About UsAt Percepta, we are on a mission to revolutionize pivotal industries through applied AI. Our focus is on ensuring that the sectors that drive our world, including healthcare, manufacturing, and energy, harness the power of cutting-edge technology. To achieve this, we closely collaborate with top-tier clients to facilitate AI transformation. We unite:Expertise in engineering, product, and research that is deployed at the forefront of innovation.Mosaic, our proprietary toolkit designed for the rapid implementation of intelligent workflows.Strategic alliances with leading firms such as Anthropic, McKinsey, AWS, and others within the General Catalyst portfolio.Our team consists of a dynamic group of Applied AI Engineers, Embedded Product Managers, and Researchers who are passionate about integrating AI to enhance everyday experiences. Percepta is a proud partner of General Catalyst, a global leader in transformation and investment.Role OverviewAs a Research Engineer/Scientist specializing in LLM Modeling at Percepta, you will be at the forefront of developing and deploying large-scale language models. You will engage in pre-training, post-training (including instruction tuning, alignment, and distillation), reinforcement learning, and the crafting of specialized architectures to enhance reasoning, decision-making, and adaptability across critical sectors.Collaboration is key as you will work closely with Embedded Product Managers and engineers to create innovative yet practical decision systems that significantly transform business operations.Identify significant challenges and formulate research strategies encompassing pre-training, post-training, RL, and specialized model development.Prototype and scale training pipelines for large language models, experimenting with architectures, optimization methods, and post-training tactics.Contribute to the infrastructure necessary for high-performance distributed training.Conduct extensive real-world evaluations that yield millions in value.Collaborate with applied AI engineers to transition successful research findings into actionable features within our Mosaic platform.Effectively communicate research outcomes to both technical and non-technical stakeholders, ensuring clarity on the implications of research and its applications.

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.

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 UsAt Cohere, our mission is to amplify intelligence to benefit humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling them to create extraordinary AI experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our work is pivotal in driving the widespread adoption of artificial intelligence.We are deeply passionate about our creations. Each team member plays a crucial role in enhancing our models and maximizing the value they deliver to our clients. We thrive on hard work and agility, always prioritizing the needs of our customers.Cohere is made up of a diverse team of leading researchers, engineers, designers, and more, all dedicated to their craft. We value unique perspectives as essential for developing exceptional products.Join us in our journey to shape the future of AI!Role OverviewAs Large Language Models (LLMs) redefine the capabilities of AI, inference remains a critical bottleneck. Our Model Efficiency team is at the forefront of enhancing LLM inference efficiency across our foundational models. We focus on groundbreaking advancements in the model execution stack, encompassing:Optimization of model architecture and mixture of experts (MoE) routingInnovations in decoding and inference-time algorithmsCo-design of software and hardware for GPU accelerationPerformance enhancements without sacrificing model qualityNote: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul, and London. We embrace a remote-friendly culture, strategically distributing teams based on interests, expertise, and time zones to foster collaboration and flexibility. Our Model Efficiency team primarily operates in the EST and PST time zones.As a Staff Research Engineer, you'll be instrumental in developing, prototyping, and deploying methodologies that significantly enhance the speed and efficiency of our models in production.Ideal Candidate ProfileYou may be an excellent fit for our Model Efficiency team if you:Hold a PhD in Machine Learning or a closely related disciplinePossess a deep understanding of LLM architecture and optimization techniques for inference under resource constraintsBring substantial experience in model optimization and performance enhancement strategies

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 General IntuitionGeneral Intuition is at the cutting edge of AI research, dedicated to developing foundational models that excel in deep spatial and temporal reasoning. Over the past year, we have advanced the capabilities of AI agents that navigate complex environments, created world models that serve as training grounds for these agents, and innovated video understanding models aimed at real-world application.We are proud to have raised a seed funding round of $133 million from General Catalyst and Khosla, driving our mission to uncover the next generation of intelligence.What We're Looking ForMinimum of 5 years of experience in deep learning research or reinforcement learning, specifically with embodied agents or simulation environments.Solid foundation in representation learning and generative modeling, particularly using architectures like diffusion models, VAEs, and transformers applied to video data.Experience with world models and predictive control — you possess knowledge on training models that simulate dynamics and plan actions within learned environments.Proficiency in reinforcement learning (RL, model-based RL, or imitation learning), coupled with the capability to design and evaluate policy networks.Excellent programming skills in Python and deep learning frameworks such as PyTorch.Strong experimental capabilities — adept in handling large-scale training, evaluation pipelines, and managing intricate datasets or simulations.Publications or contributions to open-source projects in domains such as world modeling, simulation learning, or agent policies are a significant advantage.In-person requirement: We are specifically seeking candidates located in New York City, with a commitment to working in the office five days a week.Ownership & scientific rigor: You are committed to seeing ideas through from conception to proof of concept to deployment. You write clean, reproducible code and uphold high standards for experimental validity.Performance and scaling mindset: You understand how research can be translated into production systems, with a keen awareness of compute efficiency, distributed training, and potential data bottlenecks.Curiosity-driven and results-oriented: You thrive on tackling open-ended problems, while also knowing how to set measurable goals and deliver impactful systems.Passion for gaming & simulation: A strong interest in interactive environments and physics-based simulations is highly desirable.

Join Advancy as a Strategy Consultant in NYCHiring for Consultant and Senior Consultant roles based on experiencePosition OverviewAs a Strategy Consultant at Advancy, you will take on a pivotal role in steering project workstreams and managing intricate analytical tasks. You will mentor junior team members, ensuring the delivery of high-quality outputs and compliance with project schedules. With a deep understanding of each engagement, you will present key insights directly to clients, significantly influencing their strategic choices.Ideal candidates will be adept at conducting both quantitative and qualitative analyses, flourishing in a dynamic and intellectually stimulating environment.What You Will Experience at AdvancyEngage directly with senior management from leading global corporationsParticipate in exciting and challenging projects as a proactive team playerEnjoy a meritocratic corporate culture with opportunities to collaborate on projects across our global officesAbout Advancy Inc.Advancy is an emerging international strategy consulting firm, boasting over 250 consultants across offices in New York, Paris, London, Frankfurt, Boston, São Paulo, Shanghai, and Sydney. We assist major international corporations in addressing challenges related to development, growth, and competitiveness. Our clientele includes both large-cap firms and leaders within our primary sectors of expertise: Industrials & Business Services, Healthcare, Ingredients & Life Sciences, Chemicals & Advanced Materials, Consumer Health & Goods, Retail & Entertainment. Additionally, we provide strategic guidance to Private Equity firms, focusing on corporate strategy and growth acceleration. At Advancy, our primary goal is to deliver impactful results through data-driven analyses, concise recommendations, and actionable plans.Please note: Multiple applications within an 18-month period are not accepted.We offer a competitive compensation package with a base salary range of $110,000 - $160,000, an annual bonus, comprehensive health insurance, and a 401(k) plan with employer matching. Additional benefits are also available.

Decagon seeks a Senior Research Engineer based in New York City. This role centers on driving research initiatives and developing new technologies that align with the company’s objectives. Role overview The Senior Research Engineer collaborates with team members from various disciplines. The work involves designing experiments, analyzing outcomes, and creating solutions for complex challenges. Key responsibilities Advance research projects that contribute to Decagon’s goals Build and refine technologies to address technical problems Work with colleagues from diverse backgrounds to design experiments and interpret findings

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 UsMirror Physics is an innovative AI company based in New York City, pioneering the next generation of scientific simulation technologies. Our mission is to create intelligent systems that grasp the fundamental principles of physics, thereby providing essential acceleration for advanced research and development across various technological fields. We are currently developing a leading-edge AI platform that predicts experimental outcomes in chemistry and materials science, seamlessly integrating physical simulation with high-throughput experimental verification. This endeavor aims to hasten discoveries in biotechnology, energy, manufacturing, and more. Supported by top-tier investors and scientific experts, we are seeking to expand our research team during this crucial period in the industry.The RoleAs the principal AI researcher focusing on physics model development, you will lead efforts in designing innovative architectures, training algorithms, and evaluation processes to transform vast amounts of physical simulation data into scalable, precise, and versatile predictive engines applicable in both scientific and industrial contexts.Key ResponsibilitiesCreate robust, scalable, and universally applicable atomistic models with high fidelity across various chemical domains.Compile diverse and multi-fidelity datasets into cohesive training corpora; innovate new objectives to enhance data efficiency.Produce groundbreaking datasets that encompass an unmatched variety of chemical systems, consistently computed at the highest theoretical levels suitable for general chemistries.Design diagnostic tools for model performance evaluation, failure mode assessment, and uncertainty quantification; propose new benchmarks to rigorously test predictive accuracy, physical consistency, and extrapolation capabilities.Develop downstream tools to improve model precision and processing speed, including model distillation and fine-tuning techniques.Collaborate with the AI-for-science community through research publications and contributions at leading conferences such as NeurIPS, ICML, and ICLR.Mentor junior researchers and work closely with applied science and engineering teams.

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.

Mirage builds an AI-native platform for video production and editing, centered in Union Square, New York City. The platform uses natural language to guide intelligent orchestration, allowing advanced models to understand context and mimic the creative decisions of experienced editors. This approach aims to boost productivity for professional teams and open up video creation to a wider audience. About the Team The team at Mirage brings together people from a range of backgrounds, blending technical and artistic skills to solve tough challenges in generative media. The work goes beyond routine model development, focusing on problems that remain unsolved across the industry. Role Overview: Research Scientist, Large Language Models This early team role offers the chance to shape the core technology behind Mirage. The position involves tackling foundational questions in generative AI and creative tooling, with the potential to influence how people create and edit video for years to come.

Normal Computing creates core software and hardware for the semiconductor industry, AI infrastructure, and other critical systems. The team operates in New York City, San Francisco, Copenhagen, Seoul, and London. Role overview The Silicon Research Engineering Lead will focus on pushing the boundaries of computing hardware and exploring the physical limits of computation. This role aims to unlock new levels of performance and efficiency that go beyond conventional architectures. Key responsibilities Guide early-stage concepts through research, evaluating which ideas are ready for production and which should change direction or pause. Stay informed about new silicon technology developments and bring in advances that align with Normal Computing’s strategy. Deliver designs that are well-characterized, feasible, and support company objectives, without direct involvement in SoC architecture or tapeout. Lead and mentor the silicon research team, collaborating with experts in device physics, analog circuits, and emerging computing architectures. Manage and grow partnerships with research collaborators, directing joint projects and maintaining effective relationships. Work closely with the silicon implementation team to connect research with practical development. Requirements Background in mathematics or physics and a strong research orientation. Extensive experience with non-traditional compute domains, such as analog, photonic, or neuromorphic technologies. Proven ability to move unconventional ideas toward practical, real-world use. Location This position is based in New York City.

About Us: At EvolutionIQ, we are dedicated to revolutionizing the insurance claims landscape with cutting-edge technology that enhances the accuracy, fairness, and efficiency of claims handling. Our goal is to ensure that individuals affected by injury or illness can lead their lives with dignity and stability. In light of our rapid growth, we are on the lookout for exceptional talent eager to contribute to our scaling efforts and transform the insurance sector. Our team is our top priority, and we are proud to be recognized as one of Inc.’s Best Workplaces for three consecutive years and Built In’s Best Places to Work in 2025 and 2026!The Adventure: As the leading AI Guidance Platform in the insurance industry, we collaborate with some of the largest insurance carriers in the US and are expanding our reach globally. Our impressive growth is underscored by a near 100% success rate in transitioning pilots to production deployments. You will have the opportunity to design on a unified platform that scales across diverse lines of business. Our engineering culture emphasizes simplicity, foundational engineering principles, quality, transparency, and strong collaboration. If you are enthusiastic about working in a dynamic enterprise engineering team utilizing the latest technologies at scale, we want to hear from you!About You: As a driven AI/LLM Engineer, you will be pivotal in enhancing our leading medical synthesis product. You possess a strong sense of ownership over your projects and have a proven history of managing projects from inception to deployment. Excelling in a fast-paced startup atmosphere, you keep abreast of the latest AI and machine learning developments. Your passion lies in integrating hybrid approaches that fuse large language models (LLMs), statistical machine learning techniques, and retrieval-augmented generation (RAG) with embedding-based models to deliver superior, reliable outcomes for our users.In this Role You Will:Design, build, and deploy AI-driven and LLM-powered features for our claims synthesis product, including effective extraction of critical information from intricate medical documents and human-in-the-loop summarization workflows.Develop and implement hybrid machine learning solutions that utilize statistical models, LLMs, and embedding-based retrieval techniques such as RAG to enhance system accuracy, scalability, and robustness.Write clean, scalable, and efficient code while optimizing the performance of existing AI/ML systems in production.

WireScreen, a dynamic Series A startup, is revolutionizing the way businesses navigate one of the world's most intricate business environments. Our intelligence platform is designed to enhance clarity in global supply chains and mitigate China-related risks by uncovering the complex networks, relationships, and financial connections that underpin organizations. This enables our clients to identify links, eliminate barriers, and make informed decisions.Supported by Sequoia Capital and Harpoon Ventures, our diverse team includes a Pulitzer Prize-winning journalist and senior engineers from industry giants like Google, Twitter, and Oracle. Despite launching just three years ago, we have already gained significant traction with elite government clients, and we are just beginning our journey. If you have a passion for enhancing transparency and security in global systems, now is an ideal time to become part of our mission.Explore our CEO's blog detailing how WireScreen traced DeepSeek’s origins back to 2023, well before it gained mainstream attention in 2025.About the Role:The Research team at WireScreen is the core of our operations, where data transforms into actionable insights. As a Senior Research Associate, you will collaborate with our talented engineering team to enhance WireScreen's data with critical industry intelligence, insights into the Chinese market, and relevant supply chain risk information in response to a rapidly changing global economy.This role includes ownership of WireScreen Collections, a key differentiator and a highly valued asset for our clientele. You will be responsible for curating structured datasets of companies, individuals, and relationships by tracing ownership, subsidiaries, and affiliations across various jurisdictions. Your work will be pivotal in uncovering the risks embedded within ownership chains, investors, partners, and suppliers—such as identifying military connections or providing insights into a company’s investments in sectors like electric vehicle supply chains or the quantum industry ecosystem.Your success in this position will allow you to develop unique insights into global supply chains and the interconnections between significant businesses, governments, and individuals that drive the global economy.What You'll Do:Collection Development: Design, build, and maintain curated datasets of companies, individuals, and corporate networks through hands-on investigative research.Collection & Profile Maintenance: Regularly update and refine WireScreen Collections based on strict criteria and user feedback.Data Pipeline & Quality: Ensure high standards in data integrity and pipeline efficiency.

About Clear Street:At Clear Street, our mission is to empower sophisticated investors by providing access to any asset across all markets through our cutting-edge platform designed for speed, transparency, and scalability. We equip our clients with the same advanced technology and services typically reserved for the largest financial institutions, all reimagined with a modern infrastructure. Our comprehensive, cloud-native capital markets platform is not just facilitating investor growth today; it's transforming the way they will engage with markets in the future.For further insights, visit https://clearstreet.io.The Role:Clear Street is in search of an Equity Research Associate to join our dynamic equity research team. This role entails collaboration with a senior analyst within our Energy and Industrials sector, focusing on companies engaged in renewable energy, clean technologies, energy efficiency, alternative materials, power grid enhancement, traditional energy, and various industrial markets. The successful candidate will be responsible for drafting and assisting in the development of research reports and materials for both internal and external distribution, analyzing company and industry data for incorporation into written reports and financial models, conducting valuation analyses on covered companies, and monitoring industry trends and dynamics. The ideal candidate will exhibit exceptional attention to detail, organizational skills, timely task completion, and the ability to collaborate effectively with senior analysts.