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.

Join our dynamic team at Antimetal as a Backend Engineer to enhance and scale the systems that power our innovative investigation and automation engine.In this pivotal role, you will develop core backend and platform services, architect solutions for scalability, and ensure our infrastructure can accommodate swift product growth.About AntimetalAntimetal is revolutionizing the future of infrastructure management. We are building a platform that investigates, solves, and prevents issues—empowering engineers to focus on creating exceptional products.Key Responsibilities:Lead the scaling of Antimetal’s AI workflow engine, processing metrics, logs, traces, and code to conduct investigations and deliver intelligible outcomes.Design and implement distributed services to orchestrate data pipelines, automate investigations, and facilitate incident responses at scale.Model and optimize relational data in SQL for high-throughput investigations and comprehensive reporting.Enhance platform reliability through performance improvements, minimizing failure modes, and ensuring scalability with customer demand.Collaborate with cross-functional teams to translate complex requirements into production-ready backend and platform features.Establish engineering standards for coding, communication, and system design, shaping the development of our product.Your Qualifications:4-8 years of engineering experience, including 2+ years in a high-growth environment with significant scaling.Demonstrated experience in building and scaling distributed systems.Proven expertise in backend API/data services.Experience with on-call responsibilities in production systems.Comfortable navigating ambiguity and taking ownership of projects.Exceptional writing and communication abilities.Proficiency in TypeScript within production environments.Preferred Qualifications:Familiarity with observability tools and practices.

Join us at antimetal as a Founding Recruiter! In this pivotal role, you will play a crucial part in shaping our team's future by identifying and attracting top talent to drive our innovative projects forward. This is a unique opportunity to be part of a dynamic startup environment where your contributions will have a direct impact on our growth and success.

Join antimetal as a RevOps Lead, where you will play a pivotal role in optimizing our revenue operations, driving efficiency, and ensuring alignment across teams. As a key player in our organization, you will leverage data analytics and strategic insights to enhance our sales processes and improve overall business performance.

Join our dynamic team at Antimetal as a Product Designer, where you'll have the opportunity to create intuitive interfaces and exceptional user experiences that drive the functionality of our cutting-edge investigation and automation platform.This pivotal role involves designing and launching high-performance user interfaces, prototyping innovative interaction models, and ensuring that our frontend mirrors the scalability and dependability of the infrastructure it supports.

As a Product Engineer (Agents) at Antimetal, you will play a crucial role in developing our innovative platform driven by our AI agents. Your responsibilities will encompass agent orchestration, data pipelines, APIs, and user interfaces, allowing you to work across the entire technology stack to deliver insights that benefit our users.We seek a proactive individual who can collaborate effectively with both the platform and research teams, transforming experimental ideas into production-ready features while managing projects from inception to completion, even amidst uncertainty.

Hello, I'm Brian, the Co-Founder of Egra. We have recently secured $5.5M in funding to develop foundational models for brain signals, and we are on the hunt for our inaugural research engineer.From day one, you will possess full ownership of your projects. Forget about lengthy onboarding processes, waiting for approvals, or navigating through bureaucracies. Here, you will collaborate directly with the founders on complex technical challenges, armed with the resources necessary to address them. You will define the architecture of our infrastructure, make pivotal engineering choices, and construct the systems that drive our research forward. If you excel in an environment that values high agency and wish for your contributions to directly influence the company's direction, this is an exceptional opportunity.Key ResponsibilitiesEEG, or electrical activity of the brain recorded from the scalp, is one of the most challenging real-world signal modalities in machine learning due to its low signal-to-noise ratio, significant subject variability, and inconsistencies across devices. Most shy away from these challenges.As our founding research engineer, you will oversee the systems that facilitate our research. Specific projects you will manage include:Creating versioned and reproducible preprocessing pipelines for EEG data from various sources, including device-specific normalization, channel mapping across montages, artifact detection, and signal quality assessments. Your systems will be able to instantly respond to queries like, "Which preprocessing version generated this result?"Designing infrastructure for experiment tracking and training that allows us to conduct numerous pretraining experiments concurrently without losing track of changes in hyperparameters, data splits, preprocessing versions, and model checkpoints, ensuring everything is linked and reproducible.Developing a data ingestion system capable of assimilating various EEG formats (EDF, BDF, BIDS, proprietary device exports) and normalizing them into a clean, internal representation.Enhancing training pipelines for optimal throughput on noisy, variable-length signal data using mixed precision, intelligent batching across different recording lengths, and efficient data loading for datasets that don't conform to standard loaders.Our VisionWe are aspiring to create a world where thought serves as an interface.Imagine composing a message silently as it types itself. Or navigating an AR display without any physical interaction. Our software aims to adapt to your cognitive state in real time, establishing a universal interface between human thought and digital interaction.

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.

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

The City of New York is hiring a Data Engineer to support essential data projects that inform city decisions and strengthen public services. This full-time role is based in New York City and centers on using data analytics to address challenges across city operations. Role overview As a Data Engineer, you will play a key part in initiatives that shape how the city uses information to make choices and deliver services. The work involves collaborating with a team focused on improving processes and outcomes for residents. What you will do Contribute to projects that gather, organize, and analyze data for city departments Help translate complex data into practical insights for decision-makers Work with colleagues to find solutions that enhance city operations and public services Location This position is based in New York City and requires full-time availability.

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.

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.

DailyPay is reshaping payroll for employees across the United States through an on-demand pay platform. With headquarters in New York City and operations extending to Belfast, the company focuses on supporting employee motivation and financial well-being. More information is available at DailyPay's Press Center. The Senior Product Researcher will play a central role in building DailyPay’s flagship consumer financial product, aimed at helping millions of workers manage their earned wages. This position works within a collaborative product strategy team and serves as the primary advocate for user perspectives across product, design, engineering, and marketing groups. The role emphasizes applying user-centered design principles at scale to deliver meaningful financial experiences. What you will do Champion the needs and perspectives of DailyPay users throughout product, design, engineering, and marketing initiatives. Design and conduct qualitative research such as in-depth interviews, ethnographic studies, and diary studies. Plan and execute quantitative research to complement or challenge qualitative insights. Spot new product opportunities by analyzing user needs, market trends, and behavioral data, with a strong focus on mobile interfaces. Create personas, behavioral archetypes, journey maps, and service blueprints to foster team understanding and highlight key opportunities. Work with product teams to reframe concepts as testable hypotheses. Prototype and organize concept testing with users, targeting essential product flows. Lead workshops to synthesize research findings and develop creative solutions. Participate in user-centered design sprints with cross-functional partners. What we look for Curiosity and an entrepreneurial approach to problem solving. Expertise in a variety of research methods, both qualitative and quantitative. Strong understanding of user behavior and the ability to turn insights into actionable product improvements. Experience identifying and implementing enhancements to consumer financial products.

About UsAt Percepta, our mission is to revolutionize essential institutions through the power of applied AI. We are dedicated to ensuring that critical industries—such as healthcare, manufacturing, and energy—leverage cutting-edge technology. Our approach includes collaborating with industry-leading clients to spearhead AI transformation initiatives. We combine:Expertise in engineering, product development, and research that is deployed directly in the field.Mosaic, our proprietary toolkit for swiftly implementing intelligent workflows.Strategic alliances with renowned organizations like Anthropic, McKinsey, and AWS, among others.Our rapidly expanding team consists of Applied AI Engineers, Embedded Product Managers, and Researchers who are passionate about integrating the potential of AI into tangible improvements in everyday life. Percepta is a proud partner of General Catalyst, a global firm specializing in transformation and investment.Position OverviewAs a Research Engineer/Scientist specializing in Reinforcement Learning (RL) at Percepta, you will operate at the confluence of RL research and practical application. Your work will push the boundaries of capabilities by researching decision-making processes within critical sectors. You will collaborate closely with our Embedded Product Managers and engineers to ensure that our solutions redefine operational methodologies for businesses.Key ResponsibilitiesIdentify real-world challenges suitable for RL-guided decision-making.Develop RL methodologies for executing complex tasks across various domains such as planning, decision-making, and optimization.Design and sustain the experimental infrastructure that supports our research, including simulation environments, data pipelines, and training frameworks.Conduct large-scale evaluations that deliver significant financial impact.Work in partnership with our applied AI engineers to translate successful research concepts into robust features within our Mosaic platform.Effectively communicate research findings to both technical and non-technical stakeholders, ensuring clarity on the implications and applications of the research.

The City of New York seeks an Assistant Mechanical Engineer to join the Division of Property Management. This position plays a key part in maintaining and upgrading city building infrastructure. Role overview Work includes supporting the planning, design, and supervision of mechanical engineering projects. The focus is on improving systems and services across city properties. Key responsibilities Assist in developing plans and technical designs for mechanical systems in city buildings Support project oversight to ensure work meets standards and timelines Contribute to efforts that enhance building infrastructure and services Location This role is based in New York City.

About N1:N1 stands at the forefront of innovation as the first hyper-performant and horizontally scalable blockchain network, crafted to facilitate trustless computing on a global scale. Our team is a diverse blend of experts from prestigious institutions such as Harvard, Carnegie Mellon University, and DFINITY, and is supported by renowned investors including Founders Fund and Kraken Ventures.Position Overview:We invite you to join N1 as a Research Intern, where you'll play a vital role in shaping the future of decentralized computing. This position offers the opportunity to specialize in either market and product research or technical research, depending on your strengths and interests. Market-focused interns will analyze market trends, competitor strategies, and industry landscapes to empower data-driven decisions. Meanwhile, technical research interns will delve into advanced distributed system design and engage in a targeted research project tailored to their interests.This internship is an exceptional chance to gain practical experience in blockchain research, hone your analytical capabilities, and significantly contribute to N1’s mission of pioneering trustless computing.

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.

The City of New York is seeking a dedicated Surveyor to join our dynamic team. As a Surveyor, you will play a crucial role in land surveying, ensuring accuracy and compliance with city regulations. This position offers a unique opportunity to contribute to various city projects, enhancing the infrastructure and development of New York City.

About JuniorAt Junior, we are innovating the investment research landscape by developing advanced LLM-powered tools tailored for private market investors. Our clientele features some of the globe's leading private equity and consulting firms, collectively managing investments worth billions each year. We pride ourselves on being a profitable and bootstrapped enterprise, currently expanding our dynamic team of 24 across our London and NYC offices.Discover more about our mission and values here. Role DescriptionIn your role as a Backend Engineer, you will play a pivotal part in constructing and enhancing the systems that drive our AI-powered research platform. This systems-level position is perfect for engineers passionate about data flows, orchestration, and optimizing performance across intricate distributed systems.As one of our initial engineering team members, you will enjoy the distinctive chance to:Deliver results swiftlyDesign and scale backend systems that facilitate high-throughput LLM interactions, vector search, and multi-agent orchestration.Integrate AI infrastructure across various model providers, databases, and internal APIs to develop cohesive and effective systems.Take charge of reliability and observability, aiding in the evolution of our database (Postgres / ClickHouse) and job orchestration systems.Prototype innovative backend functionalities (retrieval pipelines, caching layers, async task queues) that empower quicker and smarter development.Influence our engineering culture About YouWe seek product-oriented backend engineers who:Are based in NYC, as we operate 5 days a week in-person.Are enthusiastic about the convergence of AI infrastructure and systems design.Have a track record of leading projects from inception to completion.Are eager to participate in product decisions.Possess proficiency in our technology stack: Next.js, TypeScript, PostgreSQL.Feel that there is always room for faster development.

Join the dynamic team at the City of New York as a Scheduler, where you will play a vital role in organizing schedules and ensuring the efficient operation of city services. As a key player, you will collaborate with various departments to coordinate appointments, manage resources, and facilitate communication across teams.Your organizational skills will be paramount in maintaining streamlined operations, and your attention to detail will help to ensure that all scheduling needs are met effectively.