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.

Join Kepler: AI You Can Trust and Verify.At Kepler, we understand the critical flaws that plague AI tools, where data manipulation leads to unreliable outputs. In a world where million-dollar decisions depend on precise data, we have created a groundbreaking architecture that renders these flaws obsolete. Our system ensures that AI interprets your intent while deterministic code retrieves accurate figures from source documents, guaranteeing that every output is traceable and defensible.With over 950K SEC filings, 14K+ companies, and 40M+ documents across 27 global markets, we are trusted by firms that cannot afford errors.Our architecture is versatile and domain-independent. While we are initially focused on finance, industries such as healthcare, legal, and insurance will soon benefit from our innovative verification layer for the entire AI ecosystem.Founded by industry veterans Vinoo Ganesh and Dr. John McRaven, and supported by pioneers from OpenAI and Facebook AI Research, we are at the forefront of transforming AI reliability.The RoleAs a Senior Software Engineer, you will play a critical role in architecting and building the core systems that drive Kepler's AI research platform. You will take ownership of essential infrastructure, including backend services that orchestrate AI workflows and data pipelines that manage billions of data points, impacting how financial professionals make pivotal decisions.This position is designed for engineers eager to create foundational technology at the intersection of AI and finance, where your technical leadership will have a direct influence on client decision-making.In your first 90 days, you will:Lead and deliver a major production system from conception to deploymentDrive architectural decisions that influence the platform’s future directionWitness your code powering research at leading financial institutionsGuide and mentor engineers while establishing engineering best practices

Kepler: AI you can rely on and validate.Every AI system faces a common challenge: it interacts with data, leading to unpredictable outputs. For those making high-stakes decisions, such variability is not a minor issue—it's a dealbreaker.We have developed a framework that eliminates the chances of erroneous outputs. Our AI comprehensively interprets your intentions, while deterministic algorithms extract every statistic from credible source documents. Since the model never generates figures, it can’t produce inaccuracies. Each output is traceable back to its source, with every calculation clearly defined. Our answers are consistently defendable.Operational in real-time across a vast database of 950K+ SEC filings, 14K+ companies, 40M+ documents, and 27 global markets. Trusted by organizations where accuracy is paramount.Our architecture is versatile across domains, with finance being our initial focus due to its critical challenges. Future applications will include healthcare, legal, and insurance sectors. We are not merely creating a financial product; we are establishing the verification backbone for the entire AI ecosystem.Founded by Vinoo Ganesh, a former Palantir executive and Head of Business Engineering at Citadel, alongside Dr. John McRaven, who has a strong background at Palantir and holds a Ph.D. in Physics, our team is backed by prominent figures from OpenAI, Facebook AI Research, and more.Your RoleAs an Agentic Systems Engineer, you will develop the foundational infrastructure that supports Kepler's AI research platform. Your responsibilities will include creating distributed execution frameworks capable of managing thousands of parallel agents, quality evaluation systems, contextual management tools to enhance agent performance, and systems to track the provenance of every output.This position is tailored for engineers eager to innovate at the cutting edge of AI systems, constructing the infrastructure necessary for enterprises to trust their automated agents for critical decision-making.In your first 90 days, you will:Launch your first production agent system with mentorship from senior engineers.Construct and implement infrastructure to facilitate authentic financial research workflows.Witness the impact of your code as agents perform research within leading financial institutions.Take command of a vital agentic system from its architecture to its deployment.

Join Kepler: AI You Can Trust and Verify.At Kepler, we recognize a critical flaw in traditional AI tools: the inherent unpredictability of data interpretation. Our innovative architecture eliminates the possibility of hallucination in AI, ensuring that every output is verifiable and transparent. We provide financial professionals with deterministic code that fetches precise figures from source documents, enabling them to make million-dollar decisions with confidence.With access to over 950,000 SEC filings, 14,000 companies, and 40 million documents across 27 global markets, Kepler is trusted by firms that cannot afford inaccuracies.Our technology is designed to be domain-independent, initially focusing on finance due to its critical need for accuracy, with plans to expand into healthcare, legal, and insurance sectors.Founded by industry leaders Vinoo Ganesh and Dr. John McRaven, and backed by the pioneers of OpenAI and Facebook AI Research, we are building the verification layer for the entire AI stack.Your RoleAs a Full Stack Engineer, you will be instrumental in developing the core platform that enhances Kepler's AI research capabilities. You will manage the entire stack, creating React interfaces relied upon by financial professionals, building backend systems that process vast amounts of data, and designing AI workflows that support significant investment decisions.This role is ideal for engineers passionate about creating foundational technology at the intersection of AI and finance, where your contributions will directly influence client decision-making processes.

Join Kepler: AI You Can Trust and Verify.At Kepler, we understand that traditional AI tools often falter when it comes to accuracy. They can misinterpret data, fabricate sources, and provide inconsistent answers. For professionals making multi-million dollar decisions, this inconsistency is not just a minor flaw—it's a dealbreaker.That's why we've developed an architecture that eliminates hallucinations by design. Our AI interprets your intentions, and deterministic code retrieves every figure directly from source documents. Our model never generates arbitrary numbers, ensuring that every output is traceable to a filing, page, and line item. Every calculation is transparent with its formula, making each answer defensible.Our platform is live in production, with access to over 950K SEC filings, 14K+ companies, and 40M+ documents across 27 global markets. We're trusted by firms that cannot afford errors.The architecture we've created is versatile across domains. While finance is our initial focus due to its urgent needs, we plan to extend our capabilities to healthcare, legal, and insurance sectors. Our goal is to build a verification layer for the entire AI stack, not just a finance product.Kepler was founded by Vinoo Ganesh, who has 7 years of experience at Palantir and was Head of Business Engineering at Citadel, alongside Dr. John McRaven, also from Palantir with 11 years of experience, who developed analytics engines for multi-million dollar contracts with major companies. Our venture is backed by the founders of OpenAI, Facebook AI Research, MotherDuck, dbt, and Outerbounds.The RoleAs a Software Engineer at Kepler, you will play a pivotal role in building core systems that drive our AI research platform. You'll engage across the stack, developing backend services that orchestrate AI workflows, creating data pipelines that process billions of data points, and establishing the infrastructure that financial professionals depend on for critical decision-making.This position is perfect for engineers eager to create foundational technology at the intersection of AI and finance, where your contributions directly influence how clients make vital business choices.Within your first 90 days, you will:Launch your first production feature with guidance from senior team members.Develop and deploy a service that manages real financial research workflows.Witness your code powering research initiatives at leading financial institutions.Take ownership of a core system, from its architecture to its production deployment.What You'll DoDevelop Backend Systems: Create scalable services that orchestrate AI workflows, manage data pipelines, and integrate with enterprise financial tools.Establish Enterprise Data Integrations: Ingest and normalize data from diverse sources, including public filings and proprietary databases.

Kepler: AI You Can Trust and Verify.At Kepler AI, we recognize the critical flaws present in many AI tools today. The reliance on data models can lead to inaccurate predictions, fabricated sources, and inconsistent responses. For decision-makers handling million-dollar investments, such discrepancies can be a dealbreaker.Our groundbreaking architecture eliminates the potential for hallucinations. Our AI interprets your intent while deterministic code retrieves accurate figures from source documents. As a result, our model never produces a number, ensuring it cannot be wrong. Each output is traceable to a filing, page, and line item, with every calculation showcasing its formula for complete transparency.Currently operational with over 950,000 SEC filings, 14,000+ companies, 40 million documents, and spanning 27 global markets, our platform is trusted by firms that cannot afford to be incorrect.Our architecture is versatile and can be adapted to various domains. While finance is our initial target due to the immediate need for precision, we plan to expand into healthcare, legal, and insurance sectors, utilizing the same system with new data sources. We are not merely creating a finance product; we are establishing a verification layer for the entire AI ecosystem.Founded by industry veterans Vinoo Ganesh and Dr. John McRaven, our team is backed by pioneers from OpenAI, Facebook AI Research, and other notable entities.Mentorship & GrowthJoin us and receive mentorship from seasoned engineers who have constructed Palantir's core systems. Expect:Weekly one-on-one sessions with senior engineers experienced in architecting enterprise-level distributed systems.In-depth architectural guidance and insights on agent system design.A clear pathway for growth toward technical leadership and system ownership.Hands-on experience through building production agentic systems that drive real financial research.At Kepler, our mentorship program is designed to elevate strong systems engineers into outstanding technical leaders.BenefitsComprehensive medical, dental, vision, and 401(k) plans for employees and their dependents.Automatic coverage for basic life, AD&D, and disability insurance.Daily lunch provided in the office.A development environment budget, including the latest MacBook Pro, multiple monitors, ergonomic setups, and any necessary development tools.An unlimited PTO policy.A 'Build Anything' budget for dedicated funding to explore innovative ideas.

About Norm AiNorm Ai stands at the forefront of Legal & Compliance AI, boasting a remarkable client portfolio encompassing over $30 trillion in assets under management. Our innovative approach transforms legal codes into AI-driven solutions, empowering enterprises to enhance their legal and compliance operations with unparalleled speed, reliability, and integrity.Our advanced platform integrates cutting-edge AI technology, proprietary legal reasoning systems, and integrated legal and regulatory expertise.Recently, we secured over $140 million in funding, with esteemed investors such as Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (co-founder of KKR), and Marc Benioff (CEO of Salesforce).Norm Ai has pioneered the field of Legal Engineering, enabling legal professionals to design and manage domain-specific AI agents using our exclusive suite of no-code software tools. We are proud to have recruited numerous attorneys from top U.S. law firms and trained them as Legal Engineers specializing in AI-powered legal workflows.Our technology is utilized by many of the world’s largest and most influential institutions. As we expand rapidly, we are seeking talented individuals to join our diverse teams.AI Fluency:At Norm Ai, we expect all team members to be adept in AI. Ideal candidates actively incorporate AI into their daily tasks to enhance creativity, problem-solving, and overall efficiency. They leverage AI to refine workflows and elevate the quality of their deliverables.Candidates should be ready to showcase their AI experiences during the interview process, providing specific examples of tools, workflows, and results. We value practical, hands-on experience over theoretical knowledge.Your RoleAs an Account Director at Norm Ai, you will cultivate and nurture relationships with prospective clients evaluating our solutions. You will oversee the client relationship from initial contact through to successful closure, ensuring each interaction is engaging, thoughtful, and customized to their needs. Serving as the public face of Norm Ai, you will uphold our high standards in every meeting.You will proactively seek opportunities to exceed client expectations, demonstrating the value of Norm Ai—whether that involves preparing tailored materials for meetings, visiting clients in their offices or for meals, or exploring other avenues to strengthen these relationships.

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.

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.

Antimetal is on the lookout for a Research Engineer to enhance the intelligent systems that drive our innovative solutions. In this role, you'll be tasked with prototyping cutting-edge methodologies, conducting experiments, and overseeing the transition from research to real-world application. Collaboration with our platform and product teams will be key as you help shape the capabilities of our AI agents and contribute to the development of evaluation methodologies.Modeling infrastructure and its observability is a challenging domain. The telemetry we handle is often high-volume, chaotic, and transient, with ground truth that is often only approximate. Our goal is to develop AI agents capable of understanding this intricacy and reasoning about operational dynamics, including implementing code and configuration modifications.Research Focus AreasInfrastructure Intelligence: Developing models to comprehend infrastructure behaviors and the underlying reasons, such as anomaly detection, issue forecasting, telemetry analysis across logs, metrics, events, and traces, and understanding causal relationships. These foundational capabilities enable our agents to reason effectively about infrastructure.Autonomous Agents: Designing long-running, parallel agents that can identify, diagnose, and remediate infrastructure problems, including the ability to fix code and configuration issues. Enhancements in multi-step reasoning, orchestration, context management, memory, and reinforcement learning will be essential for this role.Evaluation: Ensuring the performance of our agents and guiding improvements by collaborating with the platform team to establish evaluation methodologies, generate synthetic data, analyze past incidents, and model the domain.About AntimetalAntimetal aims to redefine the future of infrastructure management. Our mission is to create a platform that identifies, resolves, and prevents issues, allowing engineers to focus on what they excel at: developing exceptional products.Your Responsibilities:Experiment, Evaluate, Iterate, Ship: Conduct experiments across our research domains, analyze outcomes, validate effective methods, and transition successful strategies into production.Build Evaluation Infrastructure: Work alongside the platform team to establish live and offline evaluation systems, benchmarks, and synthetic data generation tools that facilitate continuous improvement.

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 a team of former Google engineers who have developed some of the world's most significant defensive platforms, including Safe Browsing and reCAPTCHA. We are embarking on an ambitious journey to combat a new generation of adversarial AI attacks that organizations face today.Currently operating in stealth mode, we are targeting a $5B+ market that is primed for innovation. Conventional detection strategies are lagging behind as adversaries leverage AI to create highly customized attacks that evade traditional systems.Your Mission: Design a comprehensive network of AI agents that are efficient, cost-effective, and precise, working in unison to identify and neutralize emerging threats. You will delve into real-time threat data, iteratively refining your agents in response to the evolving battlefield. These agents will function under a rapid iteration and adaptive learning orchestration layer.Challenges and OpportunitiesRapidly Changing Models: The strategies that were effective yesterday may become obsolete tomorrow.Intelligent Adversaries: We are engaged in a real-time arms race against sophisticated AI-driven attackers.No Established Playbook: We are innovating new detection methodologies as threats develop, making this a high-stakes, impactful role from day one.If you are an engineer who thrives on solving complex problems and values quick feedback, this challenge is for you.Why We Will SucceedVast Market Potential: A rapidly expanding market valued at over $5B, with slow-moving traditional competitors.Proven Track Record: Our team has previously built core technologies behind Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our tenure at Google.Third-Time Charm: This is our third endeavor in creating a category-defining security company, and we know how to scale both technology and business effectively.AI and Security Expertise: Our approach integrates AI and security from the ground up rather than as an afterthought.Elite Team: We only recruit top talent, with many team members being in the top 1% of engineers from Google.Agility: We prioritize speed and efficiency, ensuring a dynamic work environment.

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.

Role Overview The City of New York is hiring an Executive Director to guide major initiatives focused on improving life throughout New York City. This position carries responsibility for setting direction, managing day-to-day operations, and building strong relationships with community partners. Key Responsibilities Lead strategic planning efforts to advance citywide goals Oversee operational management for ongoing and new initiatives Develop and maintain partnerships with community organizations Shape and implement policies that support equity, sustainability, and innovation in neighborhoods across the city Location This role is based in New York City.

The City of New York is seeking a highly skilled and motivated individual for the position of Deputy Director (Technical). This pivotal role involves overseeing technical operations, ensuring effective project management, and driving innovation within the organization. The successful candidate will collaborate with various departments to optimize processes and implement cutting-edge solutions that align with the city's goals.

About the RoleAt Stack AI, we are committed to democratizing access to advanced AI technologies, empowering individuals and organizations to create AI-driven applications that generate substantial real-world impact. As one of our pioneering AI Strategists, you will collaborate directly with clients to conceptualize, implement, and expand AI workflows that revolutionize their business operations.In this multifaceted role, you will take on the responsibilities of a consultant, product strategist, and operations expert. Your work will involve engaging with senior executives to establish AI strategies, partnering with technical teams to deliver effective solutions, and guiding organizations through the processes of adoption and change management. Additionally, you will gather valuable customer insights to influence Stack AI’s product development, contributing to a platform utilized by hundreds of large enterprises worldwide.This position is perfect for someone who excels in navigating uncertainty, enjoys the fusion of strategic thinking and execution, and is enthusiastic about shaping the AI transformation journey for both our clients and Stack AI.Key ResponsibilitiesExecutive Engagement: Collaborate with business leaders and tech teams to identify high-impact AI opportunities and establish success metrics.End-to-End Ownership: Oversee client engagements from initial concept to final delivery, ensuring sustainable adoption and quantifiable business results.AI Strategy & Value Discovery: Uncover potential AI applications that can yield ROI, enhance efficiency, and provide a competitive edge.Customer Enablement: Equip and empower client teams to develop and refine AI workflows using Stack AI’s no-code platform.Change Management: Facilitate onboarding and adoption, ensuring that solutions are integrated into customers’ daily operations.Product Feedback Loop: Serve as the customer advocate, providing insights and patterns that shape our product roadmap.Thought Leadership: Contribute to best practices, case studies, and playbooks that enhance Stack AI’s influence across various sectors.QualificationsCustomer-Centric Mindset: Strong empathy for users, capable of bridging the gap between technical solutions and business value.Strategic Communication: Proficient in engaging both technical stakeholders and senior executives, effectively translating complex concepts.Enterprise & Startup Experience: Experience working in both large corporate environments and dynamic startup settings, adaptable to diverse organizational cultures.

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!

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 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 the City of New York as the Director of DevOps, where you will lead our innovative technology initiatives to enhance operational efficiency and service delivery across various city departments. Your strategic vision and technical expertise will drive the implementation of effective DevOps practices, fostering a culture of collaboration and continuous improvement.As a key member of the leadership team, you will oversee the development and maintenance of our infrastructure, ensuring scalability and security of our services. You will work closely with cross-functional teams to streamline workflows and improve deployment processes, ultimately contributing to the city's mission of providing exceptional public services.