AI Researcher in Physics Foundation Models

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.

Role overview Distributed Spectrum is seeking a Machine Learning Research Specialist to advance research on RF Foundation Models. The focus of this position is on developing new machine learning methods that support radio frequency communications. What you will do Lead research into machine learning techniques tailored for RF communications. Create and evaluate new data-driven models to enhance connectivity. Work closely with colleagues who combine expertise in machine learning and radio frequency technology. The team Distributed Spectrum’s team investigates innovative approaches to connectivity and communication. Their projects push the boundaries of what is possible in machine learning and RF signal processing. Location This position is located in New York City.

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 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.

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.

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 Mirage Mirage builds an AI-powered video platform that connects production and editing through natural language processing. Our models use contextual awareness to mirror the choices of skilled editors, streamlining workflows for experienced teams and making video creation more accessible to a wider audience. Learn More Our Product (Captions by Mirage) Our Research (Seeing Voices, technical white paper) Latest Updates (Mirage on X / Twitter) Mirage has been featured in TechCrunch, Forbes AI 50, and Fast Company. Our Investors Mirage is backed by leading venture firms and entrepreneurs, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, and others. Location Requirement All roles at Mirage require in-person work at our Union Square headquarters in New York City. Role Overview: Research Engineer – Large Language Models Mirage seeks a Research Engineer to design, build, and scale systems for training and deploying large language models, with a focus on multimodal creative applications in video analysis. This role works closely with researchers to turn new ideas into efficient, production-ready systems that strengthen our platform.

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.

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.

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.

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.

Our MissionAt Reflection AI, our mission is to develop open superintelligence accessible to everyone.We are creating open weight models for individuals, enterprises, agents, and nation-states. Our diverse team includes AI researchers and industry veterans from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.FoundationsVision: We aim to establish and maintain a company-wide foundational platform designed to enhance every team by offering dependable, scalable development infrastructure, Site Reliability Engineering (SRE) capabilities, and high-throughput data ingestion tools. This enables Reflection to expedite its growth as we scale.What This Team DoesOur team builds and manages the essential platform layer that every engineering team relies on. We craft clear, opinionated golden paths for cloud infrastructure, networking, and access patterns, ensuring that the safest and most scalable routes are also the easiest to navigate. We work across various domains including cloud infrastructure, network primitives, security protocols, and developer tools to empower engineers to deploy rapidly while ensuring reliability, security, and cost predictability.Define and uphold golden paths for cloud projects and access patterns.Implement secure defaults and guardrails, making the safe path the most straightforward option.Construct and manage core networking components such as routing, DNS, load balancing, and connectivity.Establish baseline observability and operational best practices across services and infrastructure.Oversee developer infrastructure including build systems, CI/CD, caching, and testing infrastructure to facilitate rapid shipping.Enhance cloud cost visibility and reduction through effective tooling, guardrails, and optimization strategies without hindering team progress.What You'll Work WithCloud & Multi-Cloud Architecture: GCP, AWS, multi-cloud configurations, VPC architecture, private DNS, load balancers, advanced routing (BGP), and large-scale Kubernetes clusters.Identity & Security Foundations: IAM, OIDC, RBAC, KMS, secrets management, policy-as-code (OPA, Gatekeeper), secure defaults, and cloud guardrails.Infrastructure & Automation: Terraform, Pulumi, foundational Kubernetes, CI/CD systems, Bazel, build caching, and hermetic builds.Observability & Cost Governance: Prometheus, Grafana, OpenTelemetry, and more.

POSITION OVERVIEWThe Events Manager is instrumental in propelling the mission of the Foundation for Jewish Camp (FJC) by spearheading the planning, coordination, and execution of the organization’s events and gatherings. This role guarantees that all events, including pivotal occasions such as the Leaders Assembly and various professional convenings, exemplify FJC’s commitment to excellence, creativity, and hospitality. The Events Manager directly manages a diverse array of significant FJC events while also providing support to teams throughout the organization in planning and executing additional programs and gatherings. By fostering robust systems, tools, and training, the Events Manager ensures that each FJC event, whether centrally coordinated or department-led, meets high standards for quality, warmth, and inclusivity, creating impactful experiences that capture the essence of Jewish camp. Collaborating closely with teams across the organization, as well as FJC’s development and operations teams, the Events Manager oversees logistics, contracts, vendor relationships, and budgets, ensuring smooth execution and alignment with organizational objectives.KEY RESPONSIBILITIESEvent Planning & Management• Utilize a deep understanding of FJC’s organizational priorities and departmental needs to identify which events will be directly managed by the Events Manager and which will receive staff guidance and oversight. Establish clear parameters for event ownership, coordination, and support to maintain consistency and efficiency throughout the organization.• Direct the planning and execution of FJC’s flagship events, including the biennial Leaders Assembly, ensuring all components, such as content, logistics, and participant experience, are coordinated with utmost excellence.• Manage event timelines, oversee vendor relationships, and coordinate with internal teams to ensure deadlines and objectives are met efficiently.• Oversee event budgets, encompassing revenue and expenses, ensuring fiscal accuracy and accountability.• Create and maintain FJC’s comprehensive calendar of events, programs, and activities, while monitoring partner organization calendars to prevent scheduling conflicts.• Act as the primary staff member for designated events, managing all logistical elements, including transportation, venue selection, hotel accommodations, catering, audio/visual needs, and speaker coordination.• Assist staff in executing events where this role is not the lead, providing consultation, resources, and oversight based on logistics and event management best practices.Systems & Process Development• Establish and enhance event planning processes and operational protocols to ensure consistency and efficiency across FJC events.• Develop budgetary guidelines and standard operating procedures for event planning, vendor management, and contract negotiations to streamline operations.

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...

The OpportunityAt doji, we are revolutionizing the fashion shopping experience through the use of AI avatars. Our focus is on developing innovative diffusion models and crafting unique, personalized interfaces that enhance user engagement.Based in the vibrant heart of New York City, we are a passionate team of creative innovators with a unique blend of taste and extensive AI knowledge. Our backgrounds include launching successful consumer products at renowned companies like Apple, DeepMind, Meta, and emerging startups. Supported by investors from OpenAI, Cursor, and SKIMS, we stand at the crossroads of AI, technology, and culture.The RoleWe are in search of talented Research Engineers to play a pivotal role in advancing our avatar and virtual try-on models. This position requires in-person collaboration at our NYC office.As a Research Engineer, your responsibilities will include:Developing state-of-the-art generative AI features for our productsConstructing data pipelines to integrate large-scale image and video datasets into model trainingEnhancing model performance based on user feedback and preference tuningOptimizing virtual try-on experiences for various body types, clothing styles, and aesthetic preferencesCollaborating within a shared codebase while maintaining high coding standardsCreating cutting-edge personalized try-on solutions in video and 3D formatsWorking closely with our founders to develop industry-leading technologiesYou are an ideal candidate if you:Possess hands-on experience in training and fine-tuning diffusion models (a must-have)Are knowledgeable in implementing and optimizing diffusion model training pipelinesHave a strong passion for craftsmanship and creating groundbreaking experiencesThrive in dynamic, fast-paced environments (such as startups) or have been a high-performing individual contributor in academia or open-source projectsAre self-motivated, proactive, and quick to learn new concepts deeplyHave experience implementing machine learning papers from scratch using PyTorch or JAXGet excited about exploring new machine learning methodologies and read academic papers for enjoymentPossess problem-solving instincts to navigate challenges effectivelyHave a genuine interest in fashion, avatars, or creative expression

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.

Position OverviewArtificial Intelligence stands as one of humanity’s most transformative inventions. At Google DeepMind, our interdisciplinary team of scientists, engineers, and machine learning specialists is dedicated to pushing the boundaries of AI technology. We harness our innovations for widespread societal benefits and scientific advancements, collaborating with partners to tackle critical challenges while prioritizing safety and ethical considerations.About Our TeamWe are on the lookout for talented Research Scientists to join our Robotics division, where our mission is to responsibly develop embodied AI that positively impacts the physical world. This position focuses on ensuring the safe operation of humanoid robots through agentic reasoning, human-robot interaction (HRI) scenarios, and physical safety using VLA models.Role ResponsibilitiesAs a Research Scientist, you will engage in a dynamic variety of projects, including the creation of innovative algorithms and prototype applications, as well as real-world testing with robots both in laboratory settings and practical environments. You will collaborate with large teams to achieve groundbreaking advancements in Robotics AI. We believe that large foundational models, like our Gemini Robotics models, will revolutionize general-purpose robotics. Your work will be integral to shaping the future of robotics technology.Key Responsibilities Include:Designing, implementing, training, and evaluating large-scale models and algorithms for humanoid robotics.Making significant advancements in humanoid safety capabilities with a focus on:Development of algorithms and models to enhance a robot's self-awareness and VLA capabilities.Creating learned policies for effective interactions with humans and handling atypical scenarios, such as actuator malfunctions; Human-Robot Interaction.Writing software to implement and refine research concepts swiftly.Utilizing your expertise across various research domains, including simulation learning, reinforcement learning, vision-language-action models, and humanoid robot control.Collaborating effectively within a large team to meet ambitious research objectives in a fast-paced environment.Generating innovative ideas, designing experiments, and articulating research findings clearly for both internal and external audiences.