AI Researcher: Multimodal Understanding

About UsAt Mirror Physics, based in New York City, we are pioneering advancements in artificial intelligence aimed at revolutionizing scientific simulations. Our intelligent systems are designed to grasp the fundamentals of physics, significantly accelerating research and development across various technological domains. We are on a mission to create the most advanced AI platform capable of predicting experimental outcomes in chemistry and materials science, seamlessly integrating with reality through high-throughput experimental verification, thereby speeding up discoveries in biotechnology, energy, manufacturing, and more. Supported by top-tier investors and scientific authorities, we are expanding our research team at a crucial juncture in our field.Your RoleAs the lead for multimodal AI at Mirror Physics, you will be at the forefront of designing and training generative models that merge language, vision, and chemical structures. Your work will be essential in addressing some of society's most critical challenges by leveraging high-quality observational data to foster large-scale concept discovery in physics, chemistry, and materials science.Key ResponsibilitiesDevelop and construct multimodal architectures that integrate text, visual inputs, and chemical structures.Curate and harmonize diverse datasets sourced from scientific literature, experimental results, and high-fidelity physical simulations.Establish training pipelines for extensive pre-training and instruction tuning on multi-GPU/TPU clusters.Innovate evaluation methods for cross-modal reasoning (e.g., translating text to structure, visualizing reaction pathways) and physical consistency.Collaborate with AI, applied science, and engineering teams to integrate multimodal embeddings into our product pipeline, enhancing search functionalities, reasoning agents, and generative design loops.Engage with the AI-for-science community through active publication and participation in conferences like NeurIPS, ICML, and ICLR.QualificationsPh.D. or M.S./B.S. in Computer Science, Materials Science, Chemistry, or a related field with a strong focus on machine learning.A minimum of 3 years of research experience working with at least two modalities (language, vision, 3-D molecular structures, point clouds, graphs).Proficiency in Python and modern machine learning frameworks (PyTorch/JAX), along with experience in distributed training tools (CUDA, NCCL, Slurm/K8s/Ray).Demonstrated ability to publish research findings in reputable conferences and journals.

Kepler: The AI you can trust and verify.Every AI tool has inherent flaws: the model interacts with data, leading to inaccuracies—be it fabricating sources or providing inconsistent answers. For those making crucial million-dollar decisions, this isn’t just a flaw; it's a dealbreaker.At Kepler, we have engineered an architecture that makes hallucination structurally impossible. Our AI interprets your intent while deterministic code retrieves precise figures from source documents. The model never generates arbitrary numbers, ensuring every output can be traced back to a filing, a page, or a line item, with every calculation clearly showing its formula. This guarantees defensibility in all answers.In production, we handle over 950K SEC filings, 14K+ companies, and 40M+ documents across 27 global markets, trusted by firms that can't afford to be wrong.Our architecture is domain-independent, starting with finance where the pain points are most acute, and extending to healthcare, legal, and insurance sectors. We’re not just creating a finance product; we're building the verification layer for the entire AI ecosystem.Founded by Vinoo Ganesh (7 years at Palantir, former Head of Business Engineering at Citadel) and Dr. John McRaven (11 years at Palantir, creator of the analytics engine behind $100M+ contracts with BP and Airbus, Ph.D. in Physics). We are backed by the founders of OpenAI, Facebook AI Research, MotherDuck, dbt, and Outerbounds.The RoleAs the Head of AI Research, you will set the research agenda to ensure AI is trustworthy for enterprise decision-making. At Kepler, we’ve tackled hallucination not by enhancing model intelligence but by designing systems where such issues cannot occur. AI interprets intent, and code retrieves data, linked through a semantic layer. Every output is directly traced to its source.We are seeking an innovative leader to advance the boundaries of what is achievable within this architecture.You will spearhead research in agentic systems, memory architectures, retrieval techniques, and evaluation frameworks. You will have access to unique financial data, including structured filings, earnings transcripts, market feeds, research reports, and live audio—all normalized with full provenance. This isn't another lab creating demos; your contributions will directly impact production, empowering financial professionals who make high-stakes decisions.This position is perfect for researchers eager to develop AI systems that operate effectively in high-stakes environments, where every answer is substantiated and every insight can be traced back to the truth.

About UsAt Contra Labs, we are a pioneering research lab dedicated to exploring the intersection of creativity and artificial intelligence. Our mission is to comprehend how creatives leverage AI, enhance AI tools to better meet creative demands, and uphold the diversity and originality that characterize exceptional creative work in an increasingly standardized world.We bridge a global network of elite creative professionals with cutting-edge AI laboratories and product companies. By embedding our research in authentic creative workflows, we establish benchmarks for excellence across various mediums including design, video, and imagery. Our findings directly inform the benchmarking, evaluation, and post-training processes for leading AI models and applications.As a subsidiary of Contra, the professional network for independent creatives, Contra Labs transforms human insights into the training and evaluation framework that empowers AI tools to serve their users effectively. Our focus remains steadfastly on the creative community.Role OverviewAs Contra Labs expands its client engagements in areas such as dataset creation, benchmarking, and evaluation partnerships, we are in search of a dedicated HCI Researcher. This role will entail overseeing the research and delivery processes from inception to completion. You will work across various projects involving AI labs, creative tool companies, and research teams, each with unique requirements and timelines. Your responsibilities will include scoping methodologies, designing evaluation protocols, assembling evaluator teams, maintaining quality standards, and ensuring the delivery of actionable insights.Key ResponsibilitiesDesign and lead comprehensive research studies, including annotation protocols, rubrics, and evaluation methodologies for multifaceted creative outputs.Conduct qualitative and quantitative analyses, synthesizing results into actionable insights and recommendations for our clients.Collaborate with creative domain experts, manage evaluator teams, and ensure consistent quality through real-time adjustments.Establish and standardize protocols for annotation, data quality, and inter-rater reliability across various projects.Effectively communicate research findings to stakeholders through comprehensive reports, engaging presentations, and interactive workshops.Work closely with engineering teams to address tooling requirements and contribute to Contra Labs' visibility through case studies and benchmark publications.Translate client objectives into meticulously crafted research plans, managing multiple concurrent projects with varying timelines and requirements.

About CampusCampus is transforming the landscape of higher education with a bold mission: to accelerate the development of tomorrow's talent and redefine the college experience for today’s aspiring students. As college expenses soar, the outcomes remain stagnant, leaving students in a lurch. We believe that traditional education must evolve to meet the ambitions of modern learners who cannot afford to wait.At Campus, we offer a cutting-edge, accredited two-year college program where students engage with esteemed professors from top-tier universities such as Princeton, Stanford, and Howard through dynamic, live online classes. Our graduates emerge equipped with essential business and AI skills, prepared to embark on their careers or transfer to prestigious four-year institutions. Our innovative approach is built upon a state-of-the-art technology platform and a meticulously researched model of student success that ensures each learner receives personalized guidance and on-demand academic support. We are honored to be recognized as one of Fast Company's Most Innovative Companies of 2024.Supported by an exceptional group of investors who share our passion for the future of education—including General Catalyst, Founders Fund, Bloomberg Beta, 8VC, Rethink Education, and notable figures like Sam Altman and Shaquille O’Neal—we are poised to lead the charge in educational innovation.As the landscape of higher education evolves, we are at the forefront of change. Join us in shaping the future!About the RoleWe are in search of a Senior Staff AI Research Engineer who is passionate about making Campus the leading organization in AI-driven learning. This pivotal role calls for extensive technical expertise in machine learning and a fervor for creating innovative systems that enhance and personalize the student experience. You will spearhead research initiatives, develop production-ready AI features, and contribute to scholarly publications that push the boundaries of AI in education.Your Journey with Us Will Involve:Designing and developing groundbreaking AI systems to enrich the Campus learning experienceConducting thorough experiments to validate the efficacy of these systems...

Join Kepler AI: Redefining Trust in AI.At Kepler, we understand the critical nature of data integrity in AI tools. Our innovative architecture eliminates the possibility of hallucination, ensuring that every output is derived from verifiable sources. This means dependable answers for those making high-stakes decisions.With over 950,000 SEC filings, 14,000 companies, and 40 million documents across 27 global markets, our platform is trusted by firms that cannot afford to be wrong.We aim to provide a universal verification layer for AI, starting with finance and expanding into healthcare, legal, and insurance sectors. Our founders bring extensive expertise from industry leaders like Palantir, Citadel, and OpenAI.The RoleAs a Forward Deployed Engineer at Kepler, you will play a pivotal role in shaping our relationships with key clients. Your responsibilities will include deploying and customizing our AI-native research platform to meet the unique workflows of sophisticated financial firms and research organizations.This role embodies our principle of being "Forward-Deployed with Product DNA," meaning you will directly collaborate with clients to ensure their success while enhancing our platform for broader market use. Your code will influence significant financial outcomes.In your first 90 days, you will:Quickly create and refine vertical applications built on our core platform.Collaborate with Portfolio Managers managing over $10 billion in assets to design and implement tailored workflows.Gain deep insights into agentic tools, products, and technologies.Take ownership of the customer engagement process from start to finish.This is the ideal position for individuals eager to innovate in the future of financial research.

OverviewAt AegisAI, we're a pioneering team of former Google engineers who have developed some of the world's most robust defensive technologies, including Safe Browsing and reCAPTCHA. Our mission is to combat the escalating threats posed by adversarial AI attacks targeting organizations today.We are entering a market exceeding $5 billion, ripe for innovation. Traditional detection methods are struggling to keep pace with adversaries leveraging AI for sophisticated, high-evasion attacks, rendering outdated rules-based systems ineffective.The RoleWe are on the lookout for a Senior Threat Intelligence Researcher to join our expanding team. This position entails a blend of hands-on investigation into phishing, Business Email Compromise (BEC), and malware campaigns, along with research and thought leadership that enhances the broader cybersecurity community.In this role, you will spearhead investigations into real-world email threats, directly contribute to detection enhancements, and publish insightful analyses (blogs, whitepapers, presentations) to position AegisAI as a thought leader in the cybersecurity space.This is a high-impact role that interfaces with both customers and the industry, where your research will inform our product roadmap and thought leadership strategy.Your Responsibilities Include:Investigating Campaigns: Delve into phishing, BEC, and malware campaigns to uncover attacker infrastructure, tactics, techniques, and procedures (TTPs), and trends.Detection Improvement: Partner with engineering and data science teams to integrate intelligence into our AI detection models and automation processes.Malware & Artifact Analysis: Conduct static and dynamic analysis of malicious files, links, and payloads utilizing sandbox and forensic tools.Public Reporting: Create detailed reports and analyses for public dissemination, contributing to industry standards in email security.

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 Amperos HealthAmperos Health is a pioneering force in the realm of revenue cycle management (RCM) solutions, dedicated to empowering healthcare clinics to optimize their revenue collection processes efficiently. Established in 2023 and supported by prominent investors including Uncork, Neo, Nebular.vc, and renowned figures from OpenAI, Stripe, and Twilio, we strive to revolutionize the connection between healthcare providers and payers. Our goal is to provide healthcare professionals with an advanced AI workforce that alleviates administrative challenges and accelerates revenue flow.About the RoleAs an AI Research Engineer on our innovative research team, you will tackle some of the most challenging AI and research infrastructure problems we face. Your responsibilities will include prototyping cutting-edge products and transforming these prototypes into high-quality AI solutions. A key challenge will be achieving a level of AI sophistication that allows our systems to convincingly pass the healthcare billing Turing Test—ensuring that insurance agents and healthcare billers perceive our AI as human. Specifically, your focus will be on enhancing our AI agents' capabilities, making them more human-like, and enabling them to gather more precise and comprehensive results from insurance interactions.Key ResponsibilitiesPrimarily responsible for refining models, orchestrating large language models (LLMs), optimizing prompts, developing evaluation frameworks, and enhancing AI infrastructure.Support agent and workflow product engineers in their projects.Take ownership of AI quality and drive improvements.Define and oversee the overarching vision for comprehensive AI orchestration across modules.Address the most challenging research problems (e.g., anti-AI measures).Engage in a blend of machine learning, data science, and applied LLM work, with a strong emphasis on Python programming.Ideal Candidate ProfilePassionate about staying updated on the latest LLM research and trends.Extensive experience in the design and implementation of AI agents.Keen to experiment with the latest AI advancements (e.g., OpenAI voice mode, Claude Computer-Use) to explore their application in real-world healthcare billing scenarios.Experience working with complex distributed systems involving numerous asynchronous operations.Enthusiastic about advancing the frontiers of conversational AI technology.Ability to balance rapid experimentation with thorough evaluation.Exceptional mastery of Python programming.

About JuniorAt Junior, we are at the forefront of developing innovative LLM-powered tools designed to enhance the investment research experience for private market investors. Our esteemed clientele includes some of the world's leading private equity and consulting firms, responsible for managing billions in investments annually. As a profitable and bootstrapped company, we boast a dynamic team of 17 members operating out of London and New York City.Discover more about our mission and values here. Role DescriptionAs our inaugural NLP/ML hire, you will have the exceptional chance to:Transform product and business requirements into applied ML/NLP solutions, generating innovative research synthesis concepts and validating their business impact through rapid prototyping.Design and enhance retrieval, search, and ranking algorithms by integrating semantic embeddings, behavioral signals, and structured database queries, while also creating custom reranking models.Fine-tune SLMs/LLMs for tasks requiring high accuracy and low latency such as classification, query rewriting, summarization, and personalization.Utilize advanced alignment and reliability methodologies (e.g., DPO, fine-tuning strategies, evaluation-driven iteration) to elevate user experience and trust.Experiment with summarization and synthesis techniques to convert extensive sets of unstructured interview notes into actionable insights.Engage in product decisions, direction, and prioritization.Influence our engineering culture.With over 20 enterprise clients already onboard and tens of thousands of interactions on our platform, there is ample opportunity for data enhancement and innovation. About YouWe seek product-oriented ML engineers who:Are based in NYC.Possess a solid background as an NLP/ML researcher with expertise in RAG, LLMs, and Generative AI pipelines.Have a proven track record in building production-grade ML systems, including search, information retrieval, and structured outputs.Exhibit excellent communication skills and are eager for a client-facing role.

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 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.

Why Join Rogo?At Rogo, we are pioneering the development of Wall Street's first authentic AI analyst. Our mission is to empower finance professionals at leading investment banks, private equity firms, and investment organizations with AI that offers unmatched speed, precision, and insight. We are not merely enhancing financial workflows; we are fundamentally transforming them.This is a rare opportunity to become part of a groundbreaking company at a pivotal moment. With a rapidly expanding client base, proven product-market fit, and support from top-tier investors, we are scaling swiftly and creating a new frontier in enterprise AI.Our team is intelligent, driven, and passionately committed to our mission. We work with vigor, take ownership of complex challenges, and maintain a relentless focus on our users. If you excel in a fast-paced environment, demand excellence, and wish to contribute to shaping the future of finance, we welcome you to join us.Your ResponsibilitiesAs an AI Researcher at Rogo, you will be at the forefront of translating cutting-edge technological advancements into revolutionary financial products. You will utilize the latest innovations in Large Language Models (LLMs) and Reinforcement Learning, technologies that we believe will fundamentally transform knowledge work, placing you at the center of this exciting evolution.Design and implement end-to-end learned systems that integrate the capabilities of LLMs and Reinforcement Learning to automate comprehensive financial workflows.Develop large-scale infrastructure for assessing answer and response quality, and feed this data back into the learning systems as a reward mechanism.Collaborate closely with product managers and engineers to ensure that every solution you create delivers genuine user value and addresses real needs.Elevate standards for code quality, reliability, and product velocity. Together, you will challenge yourself and your colleagues to grow both technically and interpersonally.QualificationsBachelor's degree in Computer Science or a related field.3-6 years of experience in training large language models or post-training (or equivalent PhD experience).Proficient in writing LLM training code using PyTorch or JAX.Experience with a strongly typed programming language (e.g., Rust, C++, Java).Strong programming skills and a solid foundation in Computer Science principles.

Join our dynamic team at Crosby as an AI Researcher, where you will engage in pioneering research and development in the field of artificial intelligence. You will work collaboratively with a group of talented professionals, contributing to cutting-edge projects that leverage AI technologies to solve real-world problems. If you are passionate about exploring innovative AI solutions and driven by a desire to impact the future of technology, we want to hear from you!

About UsMirror Physics is an innovative AI company located in New York, pioneering the realm of scientific simulation. Our mission is to create intelligent systems that grasp the fundamental principles of physics, significantly enhancing the pace of technological research and development. Currently, we are developing a leading AI platform capable of predicting experimental outcomes in chemistry and materials science, seamlessly integrated with real-world high-throughput experimental validation. This initiative aims to bolster advancements in biotech, energy, manufacturing, and other critical sectors. With the support of top-tier investors and scientific authorities, we are expanding our research team at a critical juncture in our industry.Your RoleAs the head of the reasoning team at Mirror, you will be responsible for designing and engineering intelligent systems that efficiently manage scientific simulation frameworks, including quantum chemistry and molecular dynamics. You will interpret simulation results and adapt future actions accordingly. Your contributions will facilitate the development of autonomous R&D processes that plan experiments, allocate computational resources, and derive insights in real-time, making cutting-edge simulation techniques applicable to large-scale industrial challenges.Key ResponsibilitiesDesign and implement LLM-based intelligent agents for planning, scheduling, and monitoring complex simulation campaigns (DFT, ab-initio MD, reactive force-field).Create reinforcement-learning or curriculum-learning frameworks that train agents to optimize exploration, accuracy, and cost across varied computational resources.Incorporate domain-specific knowledge graphs, symbolic reasoning engines, and uncertainty quantifications into the systems.Develop analytical tools that elucidate agent decision-making, identify root causes of simulation failures, and assess downstream business impacts.Establish robust orchestration pipelines (Ray/Kubernetes/SLURM) for on-premise HPC and cloud GPU clusters, ensuring fault tolerance and provenance tracking.Collaborate closely with foundation model teams to integrate high-level reasoning with foundational atomistic predictions.Participate in the AI-for-science community by contributing to publications and presenting at conferences such as NeurIPS, ICML, and ICLR.QualificationsPh.D. or an M.S./B.S. with equivalent research background in Computer Science, Applied Mathematics, or a related field, with a focus on scientific computing and AI.Proven experience in designing complex algorithms and intelligent systems.Strong programming skills in languages such as Python, C++, or similar.Familiarity with machine learning frameworks and tools.Excellent communication and collaboration abilities.

About the Role Anthropic is hiring a Research Operations Specialist for the Discovery team. This position supports research operations in either San Francisco, CA or New York City, NY. The role centers on improving research processes, streamlining workflows, and providing direct support to researchers. What You Will Do Enhance research operations by identifying and addressing workflow bottlenecks Support researchers with day-to-day operational needs Help maintain efficient, organized research practices What We Look For Strong analytical skills Experience or interest in research operations Commitment to effective, reliable processes This role offers the chance to contribute to Anthropic’s AI research by making the team’s work smoother and more effective.

Anthropic is looking for a Research Engineer focused on model evaluations. This position involves research and development to assess and strengthen the performance of AI models. Teams are based in San Francisco and New York City, and the role supports remote work with required travel. Key responsibilities Design and implement evaluations for Anthropic's AI models Collaborate with team members to enhance model performance Contribute to research that pushes the boundaries of AI systems Location Remote-friendly (travel required) San Francisco, CA New York City, NY

About Standard BotsAt Standard Bots, we are pioneering the future of automation by making robotic systems accessible to all. Our innovative AI-driven platform empowers robots to address unprecedented challenges through an easy-to-use instruction interface, effectively integrating software automation into physical environments.About the RoleWe are on the lookout for a skilled AI Research Engineer to enhance and refine our AI models and training frameworks. This is a unique chance to leverage your extensive machine learning expertise in cutting-edge AI and robotics applications. You will collaborate closely with our engineering team to design, implement, and iterate on large-scale AI models, while also establishing efficient systems for swift experimentation and deployment. As part of a small team of AI engineers, we seek a candidate who is passionate about the startup environment and willing to work across the stack to develop solutions that address customer challenges.If you have a solid background in machine learning planning within the autonomous vehicle domain and practical experience with the latest diffusion and autoregressive model techniques, we invite you to join us in making a significant impact in the AI robotics revolution. Your excitement for building advancements in AI and robotics is exactly what we are looking for.Responsibilities:Design and implement cutting-edge machine learning models and training pipelines:Utilize innovative machine learning methodologies across a variety of robotics applicationsCreate efficient data and training strategiesEstablish model evaluation frameworks and metrics trackingSpearhead model development and iteration focused on:Rapid experimentation and prototyping of new model architecturesPerformance optimization and debugging of modelsTransfer learning and fine-tuning strategiesDevelop robust evaluation and debugging systems to:Analyze model behaviors and identify failure modesImplement interpretability tools and visualization frameworksMonitor and enhance model metricsWork in close collaboration with the engineering team to optimize training infrastructure.

Who We Are:At Percepta, our mission is to revolutionize critical sectors through applied AI. We believe in leveraging cutting-edge technology to enhance industries that are foundational to our world, including healthcare, manufacturing, and energy. Our approach involves closely collaborating with industry-leading clients to facilitate AI transformation. Our strengths include:Expertise in engineering, product development, and research deployed at the forefrontMosaic, our proprietary toolkit designed for the swift implementation of intelligent workflowsStrategic alliances with renowned organizations such as Anthropic, McKinsey, AWS, and others within the General Catalyst portfolioOur rapidly expanding team consists of Applied AI Engineers, Embedded Product Managers, and Researchers dedicated to translating the potential of AI into tangible improvements in everyday life.Percepta proudly operates as a direct partnership with General Catalyst, a global leader in transformation and investment.About the Role:As an Embedded Research Engineer/Scientist at Percepta, you will push the boundaries of AI research while collaborating closely with clients to create significant real-world impact. Your work will encompass post-training reinforcement learning, agentic modeling, and specialized architectures, with an emphasis on translating research advancements into production systems that revolutionize operations in crucial sectors.In contrast to conventional research roles, you will be integrated within client teams, gaining insights into business challenges, formulating research strategies that meet actual needs, and rapidly iterating based on field feedback. You will collaborate with our Embedded Product Managers, Research Product Managers, and Applied AI Engineers to ensure your research yields measurable value and is effectively deployed into active production.What You'll Do:Engage directly with clients to pinpoint high-impact research challenges that align frontier AI capabilities with critical business demands.Develop and implement research strategies focusing on LLM post-training, reinforcement learning, agentic modeling, and tailored model development that address client-specific issues.Create prototypes and scale training pipelines, experimenting with model architectures, optimization techniques, and post-training methodologies while quickly adapting based on client feedback.Conduct extensive customer evaluations that clearly demonstrate business value and foster AI adoption.

Join Normal Computing for Incredible Opportunities!At Normal Computing, we are passionate about building the software and hardware that drive technological innovation. Our efforts support the semiconductor industry, critical AI infrastructure, and the extensive systems that empower our world. With teams spread across New York, San Francisco, Copenhagen, Seoul, and London, we collaborate as one unified team.Your Role in Our Mission:We are seeking a talented AI Research Engineer to pioneer advancements in agentic LLMs and reinforcement learning for our innovative code generation tool, Nectar. In this role, you will design and conduct experiments, develop agents, curate datasets from intricate technical documents, and establish rigorous evaluation methods. You will write production-level research code and work closely with engineering teams to deliver enhancements to our clients. While leadership experience is not a prerequisite, your research and development impact will be significant.Key Responsibilities:Design and implement multi-agent and reinforcement learning strategies for agentic code generation and tool usage.Develop research prototypes that integrate with Nectar; collaborate to transition successful prototypes into production.Create comprehensive evaluation frameworks, including task specifications, pass/fail criteria, coverage metrics, and dashboards for cost and latency.Gather and curate datasets from a variety of sources, including PDFs, logs, and tables; generate synthetic data where necessary, and maintain data documentation and licensing.Conduct disciplined analyses of experiments through systematic ablations; document findings and decisions.Keep abreast of recent developments in LLM agents, reinforcement learning (both offline and online, including RLHF/RLAIF), constrained decoding, and program synthesis.Qualifications:PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent research experience), with publications preferably in multi-agent reinforcement learning, agentic AI, or reinforcement learning for language and code.Proficient in Python and machine learning frameworks, with a preference for PyTorch; experience with JAX or Hugging Face is a plus.Proven track record of translating research into functional systems; a strong emphasis on reproducibility (tests, seeds, configurations, logging).Experience in designing evaluation harnesses and success metrics for sequential and agentic tasks.Adept at data acquisition and curation from various document types; possess strong instincts regarding data quality and licensing.Bonus Qualifications:Research experience in program synthesis, code generation, constrained decoding, or execution-based rewards.

Join a pioneering team of ex-Google engineers who have successfully developed some of the most significant defensive platforms in the world, including Safe Browsing and reCAPTCHA. We are venturing into uncharted territory to combat a pressing challenge: effectively thwarting the rising tide of adversarial AI attacks that threaten organizations today.With a market potential exceeding $5B, we are poised for disruption. Conventional detection methods are lagging behind; adversaries are utilizing AI to devise sophisticated and evasive attacks, rendering outdated rules-based systems ineffective.Your Mission:You will architect a constellation of AI agents that are swift, cost-effective, and highly precise in their ability to detect and neutralize emerging threats. Your role involves creating the orchestration layer that enables a diverse array of agents to collaborate effectively in threat investigation. Additionally, you will be Aegis’ go-to expert for model selection, customization, and strategic implementation, leveraging your extensive hands-on experience in quantizing, pruning, distilling, serving, and orchestrating models on a large scale.Why This Challenge Is UniqueModels evolve at a rapid pace. What proved effective yesterday may become obsolete by tomorrow.Our adversaries are intelligent — and they are advancing. We are engaged in a real-time battle against AI-powered attackers who are crafting tailored, evasive payloads.There is no established playbook. As threats evolve, we are developing new detection paradigms at an accelerating pace. The stakes are high, and you will be actively involved from day one.If you thrive on challenging problems and value rapid feedback, this is the perfect opportunity for you.Why We Will SucceedThe market is vast — with over $5B in potential and fast growth — and industry incumbents are too sluggish to adapt.We have a proven track record. Our team has previously built core technologies behind Safe Browsing (over 5B users) and reCAPTCHA (protecting more than 5M websites) during our tenure at Google.This is our third venture into building a category-defining security business. We possess the expertise to scale both technology and our organization effectively.AI and security are integral to our identity. We incorporate these elements into our foundation from day one.We attract top talent. Most of our team members ranked in the top 1% of engineers at Google — if you excelled in your previous role, you will feel right at home here.