AI Research Engineer at Standard Bots | New York City

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 look…

About Standard BotsStandard Bots is at the forefront of industrial robotics in America. Our mission is to create the most user-friendly robotics platform, bringing AI-powered automation to manufacturing and beyond, enhancing human productivity for a more prosperous future.We are seeking an innovative Experiential Marketing Lead who will redefine how Standard Bots presents itself globally. In this role, you will craft and oversee unique, unforgettable brand experiences that captivate engineers and operators alike—experiences that showcase our vision for Physical AI and encourage engagement with Standard Bots. You will manage a diverse portfolio that includes major trade shows, personalized customer summits, and bold, unconventional activations. Your efforts will distinguish us in an industry where many exhibitors fade into the background. You will report directly to marketing leadership and collaborate closely with the CEO and Chief Commercial Officer to ensure that every experience yields significant brand impact and measurable commercial success.Role OverviewThis position is a creative leadership opportunity for someone who merges experiential design expertise with business insight and operational discipline. You will shape the vision for Standard Bots’ event and activation strategy: selecting the most impactful stages, designing experiences that embody our brand and values, establishing the systems and partnerships necessary to execute these experiences at scale, and measuring the effectiveness of each initiative. You will think like a creative director, operate like an executive, and communicate in terms of revenue attribution.By 2026, Standard Bots aims to be recognized as America’s most distinctive and memorable robot exhibitor. This vision encompasses expansion into new sectors—such as aerospace, defense, automotive, food and beverage, packaging, healthcare, and construction—and leveraging each stage not only to generate leads but also to transform how manufacturers perceive automation and our role within it. The 2026 calendar will feature events such as Automate, IMTS, Fabtech, Pack Expo, Modex, Shot Show, a Summer Open House, and various strategic activations, each with a unique creative brief and design.Your ResponsibilitiesDefine Our Experiential Strategy and Event PortfolioYou will determine which events we will participate in and the rationale behind those choices, establish tier structures aligned with strategic objectives and commercial aspirations, and develop annual calendars that reflect our goal of being the leading robot exhibitor in America. You will challenge the status quo, prioritize effectively, and ensure we compete where it matters most.Conceive and Direct Innovative Brand Experiences

Senior Software Engineer, Motion PlanningJoin Standard Bots as a Senior Software Engineer on our Motion Planning team, where you will be pivotal in shaping the future of robotics. We are on a mission to democratize automation, transforming complex robotic arm manipulation into accessible solutions for a myriad of industries.About UsAt Standard Bots, we believe in lowering the threshold for real-world automation. Our innovative applications and APIs empower developers and end-users alike to harness the potential of robotic arm control systems with simplicity and efficiency. We are committed to enabling new industries by focusing on user-friendly technology that accelerates productivity.Your RoleAs a Senior Software Engineer specializing in Motion Planning, you will collaborate with a talented team of engineers and leaders to enhance our robotic systems and unveil groundbreaking possibilities for our users. Your expertise will guide the architectural direction of our software, pushing the boundaries of what is achievable in robotics.Key ResponsibilitiesDesign and implement essential functionalities for our motion planning services.Lead and manage high-impact technical projects in robotic manipulation.Provide strategic technical guidance to leadership in the robotics domain.Mentor fellow engineers, sharing best practices and advanced motion planning techniques.Technical ProficienciesCore Technologies: Node.js, Python, C++Motion Planning Frameworks: ROS2, MoveIt2Infrastructure Tools: Docker, GitHub ActionsIdeal CandidateWe seek self-motivated, optimistic, and innovative engineers with a passion for diving deep into robotics. Prior experience in motion planning is a prerequisite for this role.Required SkillsMotion Planning Expertise: Proven experience in developing motion planning algorithms. Familiarity with robotic arms is preferred, but experience in autonomous vehicles and similar fields will also be considered.Backend Development Skills: Strong background in back-end technologies and systems.

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.

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 the City of New York as an Administrative Researcher, where you will play a vital role in supporting key administrative functions. In this full-time position, you will engage in research activities that facilitate informed decision-making and enhance organizational effectiveness.

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.

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.

Staff Software EngineerAbout Standard BotsAt Standard Bots, we strive to revolutionize the world of automation by significantly lowering the barriers to entry for real-world applications. Our mission is to empower individuals and developers with user-friendly applications and APIs, enabling them to tackle challenges without requiring prior expertise in robotics or automation. With an unwavering commitment to simplicity and usability, we aim to unlock productivity across various industries. The Opportunity: Driving Systemic Impact and Technical StrategyWe are on the lookout for an outstanding Staff Software Engineer to act as a catalyst for technical excellence throughout our organization. This pivotal role is centered on addressing the most intricate, ambiguous, and high-impact engineering challenges that span multiple teams and domains.Your contributions will be gauged not only by the code you produce but also by your capability to shape the future architecture of our systems, drive significant, cross-functional projects to fruition, and elevate the technical standards and capabilities of our entire engineering team.What You'll Do Strategic Architecture & Long-Term VisionDefine the Future: Take ownership of the long-term technical vision and strategy for key components of our platform, anticipating scale, security, and product demands for the future.Decouple and Scale: Design and advocate for new system architectures prioritizing clear, stable interfaces and domain decoupling to enhance the velocity of multiple feature teams.Standard Setter: Establish and elevate engineering excellence standards, including best practices for code quality, documentation, and essential non-functional requirements (performance, reliability) that our systems must achieve. Complex Project Leadership & ExecutionDrive Multi-Team Programs: Identify, define, and lead complex, ambiguous, and high-stakes technical programs (e.g., major platform overhauls, organizational reliability initiatives) that necessitate collaboration across 2-3 engineering teams.Pragmatic Trade-Offs: Navigate organizational and technical complexities, making clear and practical technical trade-offs that align long-term vision with timely delivery against business objectives.Hands-on Delivery: Produce technically intricate, cross-functional software solutions, with a primary focus on back-end systems.

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.

Standard Template Labs is an innovative, AI-driven startup revolutionizing IT Service and Configuration Management. Supported by top-tier investors, we utilize cutting-edge AI technologies, graph-based architecture, and outstanding design to transform how enterprises engage with their technology ecosystems.About the RoleWe are on the lookout for talented AI Engineers to join our team. In this role, you will design, develop, and implement machine learning systems that serve as the intelligence backbone of our ITSM platform. You will tackle challenges such as natural language understanding of IT tickets, dynamic knowledge extraction, workflow automation, and generating predictive insights from complex IT infrastructure data. This hands-on engineering position offers a unique opportunity to shape the AI foundation of our company from the outset.ResponsibilitiesConduct research, develop prototypes, and bring machine learning models to production for ITSM applications (e.g., ticket triage, incident prediction, workflow optimization, CMDB inference).Construct scalable training and inference pipelines that integrate effortlessly into our core platform.Experiment with LLMs, embeddings, and retrieval-augmented generation (RAG) for IT knowledge and workflow automation.Collaborate with engineers and product managers to define AI-driven features that set our platform apart.Assess model performance, optimize algorithms, and ensure the reliability, scalability, and cost-effectiveness of AI systems.Stay updated with advancements in machine learning, LLMs, and AI infrastructure, applying these developments effectively.QualificationsBachelor’s or Master’s degree in Computer Science, AI/ML, or a related field; a PhD is advantageous.Solid foundation in software engineering (Python preferred) with experience in ML frameworks such as PyTorch or TensorFlow.Familiarity with one or more areas: natural language processing (NLP), large language models (LLMs), information retrieval, graph ML, or time-series forecasting.Knowledge of modern MLOps practices, including model versioning, deployment, monitoring, and lifecycle management.Ability to thrive in a fast-paced startup setting with comprehensive ownership of projects.Bonus: Experience applying AI within enterprise software or ITSM contexts.

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 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.

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.

Why Join Moonshot AI?Imagine a world where websites automatically optimize themselves to enhance sales, improve conversion rates, and accelerate growth. At Moonshot AI, we are transforming this vision into reality by integrating generative AI, extensive data processing pipelines, and systematic experimentation into a self-evolving digital ecosystem.As a well-funded startup in its early stages, we have a bold vision. Joining us means becoming more than just an employee; you will play a crucial role in shaping our technical and cultural foundation. If you desire the freedom of a founder, combined with the support of top-tier investors, this is the opportunity for you.Your ContributionsIn your role as our Senior Fullstack Engineer, you will be actively engaged across the technology stack. You will design, develop, and scale systems that power our AI-driven platform, enjoying significant autonomy, rapid execution, and substantial ownership of your work.Build and architect scalable systems — from backend APIs to frontend dashboards — capable of processing millions of web events daily.Create large-scale data infrastructure that elucidates website construction, performance metrics, and optimization strategies.Train and integrate LLMs into production environments to autonomously hypothesize, generate, and validate website variants.Influence engineering culture and practices — your impact will be evident throughout our tech stack, architecture, and team processes.Engage in experimentation, prototyping, and iteration — combining research, product development, AI, and scalability in a single role.This is not about maintaining another SaaS application; it’s about constructing an AI engine that revolutionizes digital product creation.Candidate ProfileA software artisan — you produce clean, scalable code and are adept at delivering results swiftly.5+ years of full-stack development experience (Python, JavaScript, AWS preferred, but not mandatory).Proven experience in leading teams or managing significant projects.Educational background in Computer Science, Electrical Engineering, Mathematics, or equivalent practical expertise.An AI enthusiast eager to work with LLMs and influence their real-world applications.Bonus Qualifications:Experience in a startup environment (thriving in dynamic, fast-paced settings).

Why Join Moonshot AI?Envision a web that autonomously transforms itself to enhance sales, improve conversions, and accelerate growth.At Moonshot AI, we’re pioneering this future by integrating generative AI, extensive data processing, and innovative experimentation into a self-adaptive online ecosystem.As a well-capitalized, early-stage startup with grand ambitions, your role here transcends that of a typical employee — you’ll actively contribute to shaping the company’s technical and cultural foundation. If you've ever aspired to have the freedom of a founder while being supported by elite investors, this opportunity is for you.What You'll Create & LeadIn the position of Staff Software Engineer, you will serve as the technical cornerstone of Moonshot's evolution engine, responsible for designing scalable systems, steering engineering strategy, and mentoring your colleagues.Your work will blend hands-on expertise with high-level architectural insight, transforming visionary ideas into technical realities.You will:Innovate at the forefront of generative AI - develop systems that empower AI to autonomously reason, experiment, and implement tangible changes to the web.Architect the next generation of our experimental engine - ensuring it is scalable, observable, fault-tolerant, and capable of handling millions of daily events.Design and advance our backend infrastructure utilizing Python (Flask-RestX), serverless AWS, and various data pipelines (ClickHouse, Postgres, Kinesis, Firehose, S3).Lead technical strategy - establish our engineering principles and evolve the architecture across microservices, data ingestion, and LLM-driven systems.Mentor and uplift - enhance the skills of senior and mid-level engineers through code reviews, collaborative programming, and detailed design documentation.Collaborate across teams - partner with AI, product management, and data science to translate business objectives into robust systems.Prototype and expand boundaries - rapidly bring concepts to production while balancing experimentation with thoroughness.Enhance performance, security, and reliability as we scale towards SOC 2 certification and enterprise clientele.This role emphasizes technical leadership without the responsibilities of people management: pure design, significant leverage, and complete ownership.

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.

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.

Quick OverviewPosition: AI EngineerWork Location: On-site at NYC HQ, 5 days per weekSalary Range: $250K - $325K+Equity: Competitive initial grant plus annual performance-based bonusesAbout MomentMoment is at the forefront of developing innovative trading and portfolio management technology. Our flagship product suite features high-throughput market data pipelines, automated smart order routing algorithms, real-time portfolio ledgering, position tracking, and high-cardinality portfolio optimization solutions.Founded in 2023 by a team of quantitative traders and researchers from Citadel and Jane Street, we have successfully raised over $100 million in funding from esteemed investors such as Andreessen Horowitz, Index Ventures, and Lightspeed Venture Partners. Our solutions are integral to the operations of financial institutions managing assets exceeding $8 trillion.The RoleAs an AI Engineer at Moment, you will be a pioneer in shaping the application of AI within our organization. Collaborating closely with design, product, platform, and engineering teams, you will develop innovative AI solutions from concept to implementation, defining the future of AI at Moment.Key Responsibilities:Gain in-depth understanding of our products and collaborate with teams to create valuable AI-driven automation.Assess and determine the applicability of the latest advancements in AI technologies for our needs.Design, deploy, and promote AI primitives that enhance internal processes and significantly improve user experiences.Ideal Candidate Profile:Proficient in working with AI Agents and understanding their applications.Enthusiastic about keeping pace with the rapidly evolving AI landscape and tools.A product-minded engineer eager to engage with all parts of the tech stack and leverage AI for self-service solutions.Experienced in distributed systems and their implementation.Committed to thoroughly understanding our customers' workflows.Able to thrive in a fast-paced work environment.Preferred Qualifications:Familiarity with AI development techniques and frameworks, including evaluation and observability.