Founding AI/ML Engineer at Sciemo | New York City

About SciemoSciemo is at the forefront of AI innovation for consumer goods, providing technology that empowers businesses to make more informed, rapid, and human-centric decisions throughout the Integrated Business Planning (IBP) process. Our platform effectively transforms disorganized, isolated data into significant business outcomes. Through real-time assistance from our AI agents, we simplify complexity, enabling decision-makers to focus on what truly matters. Our headquarters is located in New York City.OverviewAs a leading startup, Sciemo is dedicated to advancing AI solutions for consumer brands. Utilizing machine learning, generative AI, agent-based systems, and graph technologies, we enable our clients to extract insights within seconds and achieve business impacts in minutes through our innovative products.We are seeking a Founding Member of Technical Staff to join our team, overseeing the development and deployment of sophisticated ML systems, reporting directly to Dan Wald, our Co-Founder & Chief AI Officer.RoleIn this dual capacity as a Data Scientist and Machine Learning Engineer, you will be instrumental in crafting, developing, and deploying the intelligent solutions that power our AI products. Your expertise will span the full spectrum of applied AI, including data science, machine learning, and large-scale production engineering. This role necessitates a combination of innovative model development and the engineering aptitude to deploy and sustain these models within robust, scalable infrastructures.You will collaborate closely with data engineers, product leaders, backend developers, and customer-facing teams to ensure our AI systems yield tangible value in real-world applications. As an early technical hire, you will help shape our AI strategy, establish technical standards, and create best practices for scalable applied AI.ResponsibilitiesDevelop and deploy AI systems that include:Architecting, building, and deploying ML/GenAI products on cloud infrastructure (AWS or equivalent).Designing and implementing end-to-end AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.Creating automated pipelines for continuous learning, model promotion, and performance monitoring.System architecture and reliability:Leading the design of ML orchestration frameworks (such as Airflow, Kedro, ZenML, Flyte) to ensure reproducibility and reliability.

About SolvaSolva is pioneering the development of artificial intelligence solutions tailored for the insurance industry, transforming a colossal $8 trillion market, with a primary focus on claims management. Our operations are bolstered by a $6 million investment from prominent backers including First Round, Y Combinator, SV Angel, and notable angel investors like Paul Graham, who have previously supported industry giants such as OpenAI, Google, Stripe, Anthropic, Databricks, and GitHub. We are proud to have an advisory board composed of seasoned insurance executives and entrepreneurs.Our team has a proven track record, having played a crucial role in establishing Europe’s fastest-growing InsurTech and founding a licensed EU bank that handles payments exceeding €1 billion annually. We are on a mission to revolutionize one of the world’s largest sectors by reimagining it through the power of AI.Solva is recognized as a Y Combinator S25 company, rapidly emerging as one of the most dynamic and well-capitalized startups in the industry.About the RoleAs a Founding Engineer, you will collaborate with a team of seasoned entrepreneurs and former Apple engineers. You will set the standards for AI security and accountability, creating best practices where none currently exist. We value those willing to tackle challenging problems head-on and innovate in meaningful ways. Your contributions will be pivotal in shaping our core product and expanding our engineering team.Your responsibilities will vary, from delving deep into backend systems and cloud infrastructure to making architectural decisions that impact multi-billion dollar claims processes.This position offers true ownership. You will not only write code but also influence the technical direction, lead initiatives on new projects, and help cultivate a strong engineering culture from the ground up.What You Will DoDesign and implement production systems for our core offerings.Take charge of infrastructure and backend technologies (Go, Python, Postgres, GCP/AWS, Kubernetes, Terraform, CI/CD).Engage across the tech stack as necessary (React, Vite, TypeScript).Deliver quickly, iterate based on customer feedback, and transform complex issues into clean, scalable solutions.Help foster an exceptional engineering culture and play a significant role in shaping our long-term technical vision.What We Are Looking ForA standout candidate who has developed impressive projects in the AI domain.Extensive backend and infrastructure experience (cloud services, infrastructure as code, system scalability, observability).Proven ability to make technical decisions while balancing practical solutions and long-term design goals.A strong desire to innovate and contribute to the future of AI in the insurance sector.

About MeridianAt Meridian, we are pioneering the development of the first multi-agent platform designed to empower enterprise brands in marketing and selling to AI technologies.With the shift from traditional search engines to cutting-edge AI platforms such as ChatGPT, Gemini, and Claude, businesses must adapt to ensure their visibility and representation within these systems. We are creating the solution that enables this transition. Already utilized by hundreds of clients, our core concept is validated, and this is your chance to significantly influence our journey as we grow.The RoleAs a Founding Engineer, you will collaborate closely with the founders to build the fundamental systems that enhance Meridian's operations. You will tackle complex, high-stakes challenges and transform them into reliable software solutions that function autonomously in production environments.This position is ideal for engineers who seek extreme ownership, rapid execution, and the chance to shape a company from the ground up.Your ResponsibilitiesEnd-to-End Ownership: Tackle loosely defined business challenges and drive them from conception through system design, implementation, and iteration; you are accountable not only for coding but also for defining the necessary features and ensuring their real-world efficacy.Agent Design and Development: Develop internal tools and systems that facilitate Meridian's ability to define, execute, and monitor intricate workflows, gradually enabling these systems to manage workflows autonomously.Data and Decision Systems: Construct and refine the pipelines that fuel our platform, including data ingestion, analysis, AI model orchestration, evaluation, and feedback loops that enhance system performance over time.Practical Problem Solving: Comprehend user and agent search behaviors across various markets, identify signals utilized by AI systems to generate responses, and develop fully autonomous workflows.Strategic Technical Decisions: Make impactful trade-offs that shape the long-term development of our product and company, prioritizing actions that significantly contribute to our mission.Company Shaping: Collaborate closely with founders and the initial team to influence product direction, system architecture, and engineering culture.

Join Profound in our quest to empower businesses to effectively manage their AI landscape. As an AI and ML Engineer, you will be instrumental in the design, development, and deployment of advanced Natural Language Processing (NLP) and Large Language Model (LLM) systems. Your work will enhance classification, ranking, clustering, topic discovery, and content generation capabilities. You will oversee complete workflows from data acquisition to deployment, collaborating with cross-functional teams to transform genuine user interactions into impactful product features and content that enhances visibility, engagement, and conversion rates.ResponsibilitiesDevelop and implement scalable NLP models for classification, ranking, clustering, topic extraction, and summarization.Design end-to-end LLM workflows for generating contextually relevant content, covering topic discovery, brief creation, outlines, drafts, revision cycles, and publish-ready assets.Create prompt and template libraries that align with brand voice for various formats, including blogs, landing pages, help documentation, and advertisements, ensuring evidence-based generation and citation retrieval.Establish evaluation frameworks for generated content, focusing on factual accuracy, coverage, tone, safety, and originality, using rubric-based evaluations and human-in-the-loop reviews.Monitor content performance across SEO and AEO metrics, engaging in experiments to enhance quality, reduce costs, and minimize latency.Transform extensive text datasets into production-ready features and signals that provide valuable product insights.Collaborate with engineering teams to instrument events, maintain data pipelines, and ensure high data quality and observability.Work closely with product, data, and go-to-market teams to define success metrics and conduct experiments that positively influence customer-facing KPIs.QualificationsDemonstrated experience in deploying machine learning systems at scale, particularly with large textual datasets.Practical experience in developing LLM content systems, including prompting, templating, retrieval-augmented generation, guardrails, and evaluation mechanisms.Proficiency in SQL and strong skills in Python alongside modern machine learning tools.In-depth understanding of machine learning quality metrics, capable of designing both offline and online evaluations and monitoring systems.Creative problem solver, capable of innovating when standard solutions do not meet requirements.Experience in cross-functional, high-performance teams, effectively contributing to diverse projects.

Founding Engineer - ScendWho We AreAt Scend, we are dedicated to revolutionizing the M&A landscape and enhancing efficiency within private markets. Backed by leading investors such as Pear VC, we have a strong team and early customers, positioning us for significant growth.Join our lean, high-impact team that thrives on creating stunning, functional products. Our diverse backgrounds span M&A, private equity, consumer fintech, and the vibrant Python open-source community, uniting us in our passion for excellence.Our Values (DEAL)Deliver: Every team member contributes by shipping code, designing features, or engaging directly with customers to transform ideas into tangible products.Empower: We believe in taking initiative beyond job titles. If you spot a challenge or an opportunity, you are encouraged to act.Align: Collaboration is key; we tackle challenges together with openness and humility.Learn: Our culture thrives on exploring new ideas, tools, and methodologies.The RoleAs a founding engineer, you'll collaborate closely with our founders to shape the product and architecture from inception. Your involvement as an early team member will greatly influence system design and our engineering culture. While prior experience is not mandatory, familiarity or interest in LLMs and Machine Learning will be highly valued.ResponsibilitiesDesign & Build: Create scalable, high-performance APIs to deliver financial data and develop them into product features.AI-Powered Systems: Utilize LLMs to generate datasets and research reports, applying evaluations and fine-tuning for accuracy.Data Processing: Handle large datasets using Airflow, Pandas, and Spark.Web Crawling: Build robust systems for crawling websites and documents from the internet.Infrastructure: Oversee infrastructure management with Terraform, Docker, AWS ECS, and monitoring solutions such as Sentry and CloudWatch.RequirementsA minimum of 2 years in developing scalable software systems.Proficient in Python and SQL.Preferred: Comfortable with data processing frameworks like Airflow, Pandas, and Spark.Preferred: Familiarity with infrastructure automation tools such as Terraform.

Join Noto as a Founding EngineerNoto is on a mission to revolutionize the after-school business landscape by creating an AI-native operating system tailored for tutoring centers, music schools, and sports academies. We aim to serve the 150,000 after-school businesses across the country, providing them with the technology they desperately need.Currently, these essential businesses operate with outdated software and a hodgepodge of basic solutions. At Noto, we're developing a comprehensive platform that leverages AI to deliver seamless, engaging experiences for users who are accustomed to manual methods like sticky notes and spreadsheets.Recently, we successfully secured a $3.8 million seed round, supported by esteemed venture capital firms such as Base10 and South Park Commons. Founded by technical experts AJ Ding and Steve Wang, Noto is headquartered in the vibrant city of New York.We are thrilled to expand our core team. If you're passionate about crafting innovative software solutions for small businesses, Noto is the place for you!

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.

Role Overview Sigma Computing is building the next generation of data interaction. The platform lets users explore billions of data rows in seconds, work with data in a familiar spreadsheet-like interface, and build visualizations, applications, and workflows. Sigma is now expanding these capabilities with AI to help users create, discover insights, and make decisions faster. The Senior AI/ML Engineer will join a team focused on developing the AI infrastructure that shapes Sigma’s future. Work here directly impacts how enterprises use Sigma in their daily operations. Location This position is based in New York City, NY.

About UsAt Endex, we are at the forefront of revolutionizing the finance industry through advanced AI technology. We envision a future where financial institutions leverage AI analysts to enhance decision-making and operational efficiency. Our cutting-edge digital coworker, expertly integrated into Excel, is designed to transform how financial professionals interact with AI. Backed by significant funding from OpenAI, we are committed to shaping the future of finance with our innovative solutions.Role OverviewLocation: New York CityCommitment: 5-6 days in-personAs the Founding Designer at Endex, you will play a pivotal role in defining the user experience for financial professionals utilizing AI in critical workflows. You will create intuitive interfaces for our agentic AI technology, develop a scalable design system, and establish a visually compelling identity for our groundbreaking product. This is a unique opportunity to influence how Wall Street engages with AI.Your ResponsibilitiesUser Experience Design: Design comprehensive user journeys for AI interaction in Excel, focusing on intuitive interfaces for complex tasks such as prompting, reviewing, and iterating on AI outputs.Onboarding Experience: Develop an engaging onboarding process that transforms new users from uncertainty to dependency on our AI solutions.Design System Development: Build and maintain a cohesive design system from the ground up.Brand Visual Identity: Establish Endex's brand through our products, marketing platforms, and other materials, ensuring a sophisticated and cutting-edge visual language.Collaborative Efforts: Partner with Engineering and Product teams to implement designs, balancing user needs with technical limitations, particularly within the Excel add-in framework.Conversion Optimization: Design effective signup flows, pricing pages, and upgrade prompts to enhance user conversion rates.Your ProfileProduct Design Expertise: A strong portfolio showcasing your ability to execute end-to-end product design, from research to high-fidelity prototypes and launched features.Collaboration Skills: Proven experience working in cross-functional teams to deliver compelling design solutions.Problem-Solving Mindset: Ability to navigate complex design challenges and propose innovative solutions.

Join Us as a Founding Fullstack Engineer!Location: New York City (5 days on-site) · Competitive salary + equity + benefits.Overview: Help create the essential product for nuclear operators. Take complete ownership of features. This is a high-impact role at the forefront of innovation.Our MissionAt Everstar, we are revolutionizing the nuclear power industry by creating an intelligence layer that makes nuclear energy truly deployable—reducing regulatory workflows from months to mere days. Our platform, Gordian, is already utilized by utilities, advanced reactor companies, and hyperscalers, combining deep nuclear expertise with world-class product execution at a startup pace.We are seeking a Founding Fullstack Engineer who can transform complex engineering and regulatory workflows into seamless, production-ready software.Join the Apollo Team of Nuclear and collaborate with engineers from leading companies like Tesla, SpaceX, and Google, while learning from nuclear and national security experts with backgrounds at the Nuclear Regulatory Commission and CIA.Your RoleThis is an ownership-driven role with a focus on product development, not just a contract or feature factory.You will design and implement product features from start to finish—covering everything from database architecture to API contracts to meticulous UI design, with a ratio of 60% frontend and 40% backend work. You'll have the autonomy to make technical decisions and the responsibility to drive results.Your responsibilities will include:Creating user-centric features: transform complex regulatory workflows into elegant, user-friendly UI/UX that nuclear professionals will appreciate.Owning the technology stack: develop APIs, optimize database queries, implement front-end interactions, and troubleshoot production issues as needed.Defining product standards: you will have the opportunity to shape our approach to code quality, design systems, testing, and the overall product development life cycle.Collaborating with experts: engage with nuclear subject matter experts and AI engineers to understand intricate requirements and deliver effective solutions.Balancing speed and craftsmanship: continuously iterate on designs and features based on user feedback and evolving needs.

Join the Future of Legal Services with Crosby!At Crosby, we are revolutionizing the legal landscape. Our innovative team of technologists and legal experts is dedicated to transforming corporate legal services through cutting-edge technology and collaborative workflows. Our goal is to streamline the review of complex documents, enhancing speed and quality in the legal profession.Founded by Ryan (Penn, Stanford Law, former Cooley attorney, and GC) and John (Penn M&T, ex-Ramp, and ex-Google), Crosby is built on the belief that:A robust legal system is fundamental to a prosperous society.Legal practice merges art and science; we aim to define this balance by systematizing the process while enhancing human judgment where it matters.True AI application in law is about delivering outcomes, focusing on quality legal work executed efficiently.We thrive on an in-person culture at our NYC headquarters.The Opportunity:As our Founding Frontend Engineer, you will spearhead the user experience for the Crosby platform. Your mission will be to craft visually appealing, user-friendly, and highly functional interfaces that enable our legal team to operate with unmatched efficiency. Collaborating closely with our founders, product team, and legal professionals, you'll transform intricate workflows into seamless user experiences. This is an unprecedented opportunity to build our frontend architecture from the ground up, create our design system, and set the benchmark for quality and performance.Your Responsibilities:Frontend Architecture: Develop the core frontend of the Crosby platform utilizing modern frameworks such as React, Vite, and TanStack.User Experience Design: Design and implement high-performance user interfaces tailored for complex, data-rich legal workflows.Rapid Prototyping: Collaborate with product and our in-house legal team to swiftly prototype and refine user-facing features.Codebase Foundation: Establish a sustainable frontend codebase, which includes a comprehensive component library and design system.Collaborative Development: Coordinate with backend engineers to design and implement APIs that ensure a cohesive user experience.Team Growth: Contribute to building and mentoring our engineering team.

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.

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 Our Team in New York CityAt Spur, we are pioneering groundbreaking technology for the future of Quality Assurance: autonomous browser agents that simulate real-user behavior by thinking, exploring, validating, and self-healing. We are not just another testing tool; we are redefining how digital teams can deliver with assurance.Our innovative approach has resonated powerfully in the market. Renowned brands such as Alo Yoga, Living Spaces, HelloFresh, Nextdoor, Abercrombie & Fitch, and many more are actively engaging with us. Demand is soaring, sales cycles are accelerating, and our product truly delivers—teams can go live in mere days, not months.We are a tight-knit, elite group of innovators from DeepMind, Figma, and former founders, moving at a pace that larger companies simply cannot match.Our Mission: We strive to empower our clients to provide exceptional digital experiences.Explore Our Manifesto: https://www.spurtest.com/founders-letterYour ResponsibilitiesLead the development of end-to-end features—design, code, test, deploy, and manage them in production. You will take ownership of product components throughout their lifecycle.Engage directly with users to transform their feedback into actionable improvements swiftly, influencing product direction.Develop and maintain robust performance in both frontend and backend systems.Launch innovative features, interact with customers for feedback, and iterate at a rapid pace.Collaborate closely with product, engineering, design teams, and company founders for swift iterations.Bonus QualificationsPrevious experience as a founder or founding engineer.Experience in building Large Language Model (LLM) products.A passion for developer tools and attention to detail that enhances both developer and customer experiences.You Will Excel Here If YouHave an unwavering focus on customer satisfaction. We are dedicated to creating delightful experiences for our users—how can we make each feature as enchanting as possible?Possess a curious mindset. You will encounter novel technologies and challenges daily as we grow—comfort with learning new frameworks quickly and sharing that knowledge with the team is essential.Demonstrate strong technical skills and a collaborative spirit.

Join Concourse as a Founding Designer and play a pivotal role in shaping our brand from the ground up. You will be at the forefront of our design initiatives, contributing to both product and marketing efforts while collaborating closely with our founding team. This is a unique opportunity to help define the visual identity and user experience of a groundbreaking platform.

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.

At Artemis, we are pioneering the future of AI-powered defense systems to empower businesses to effectively detect and counter threats in a landscape where AI combats AI on the cyber frontlines.We are supported by esteemed investors such as First Round Capital and Brightmind, alongside a coalition of leading operators in the cybersecurity sector.Our visionary founders, Shachar (former leaders at Palo Alto Networks, AWS, Demisto) and Dan (ex-Abnormal Security, Twitter) have successfully built, launched, and scaled cybersecurity solutions that have earned the trust of thousands of clients, leveraging deep expertise in customer needs, technology, and security to realize our ambitious vision.Our diverse and highly skilled team comprises software developers, AI researchers, security experts, and product designers from industry giants like Google, Abnormal AI, Wiz, Meta, AWS, CERN, and SentinelOne.As we expand our footprint, we are seeking passionate innovators to join our mission and enhance our growing clientele.Job OverviewArtemis is at the forefront of analyzing vast streams of data from cloud services, identity providers, network logs, and more. We are constructing a cutting-edge, large-scale AI-native data platform from inception and require outstanding AI/ML Engineers to help shape and realize this vision. You will collaborate with engineers who have designed some of the world’s most significant distributed systems.A key focus of this role involves utilizing agents as the primary classification and reasoning layer across our platform, enabling us to transcend traditional static rules and approaches, allowing for a deeper understanding and response to multifaceted security data.This position offers substantial responsibility and impact. You will engage with crucial components of our system, from LLM-powered classification and detection to extensive data processing and management.

About UsAt Applied Labs, we are pioneering a platform for dependable AI agents designed to automate intricate tasks. Our team thrives on collaboration in our New York City office.Why You Should Consider This RoleGrowth Potential: Experience rapid 10x growth within just 4 months, showcasing our strong momentum.Ownership: Enjoy a high degree of autonomy while taking charge of systems from inception to completion.Complex Challenges: Engage in designing innovative, reliable solutions for multifaceted tasks.Team Excellence: Join an early-stage team comprised of talent from Harvard, MIT, Gemini, and Meta.Your ResponsibilitiesManage Core Systems: Oversee agent systems from concept to deployment, including orchestration, tool usage, planning, memory management, and evaluations.Architect for Reliability: Develop agent loops and guardrails capable of withstanding real-world challenges.Rapid Iteration: Conduct experiments, measure results, and iterate on a weekly basis.Close Collaboration: Work closely with founders in NYC to set product vision, quality standards, and engineering culture.Establish Standards: Your design choices, documentation, and coding style will set a benchmark for future team members.You May Excel in This Role If You:Have successfully deployed end-to-end production systems and take pride in delivering results.Value reliability over mere demonstrations; testing, evaluations, and metrics are crucial to you.Possess a product-oriented mindset, consistently asking, “What does the user need?” and developing the simplest effective solutions.Prefer in-person teamwork and expedited decision-making processes.Aspire to shape the engineering culture of a rapidly growing company.Your ToolsCurrently utilizing technologies like Python, Go, React, Clickhouse, K8s, Bazel, Postgres, GCP, and Modal.We prioritize skills over checklists.

About EliseAIEliseAI is on a mission to transform vital sectors such as housing and healthcare, ensuring that everyone has access to secure housing and quality medical services. Our innovative approach integrates AI agents into existing workflows, enhancing efficiency, reducing costs, and improving the overall user experience.Housing: We streamline the rental process by simplifying apartment tours, lease signings, maintenance requests, and communication between renters and property teams—all in one convenient platform.Healthcare: We facilitate appointment scheduling, intake form completion, and enhance communication between patients and providers, allowing everyone to prioritize health over paperwork.With the support of our recent $250 million Series E funding round led by Andreessen Horowitz, we are committed to making essential services more accessible and efficient.About The RoleWe are seeking a pioneering GTM Engineer to revolutionize our revenue generation systems in an AI-driven landscape. Your role will involve identifying opportunities to harness AI for enhancing our go-to-market workflows, designing and building innovative systems from the ground up, and ensuring successful implementation across the organization. You will collaborate with cross-functional teams, including Sales Leadership, Account Executives, Sales Development Representatives, Marketing, Customer Success, Revenue Operations, Recruiting, and our CEO, driving initiatives from inception to execution. This position offers a unique chance to establish an AI center of excellence and redefine operational strategies for modern go-to-market teams.Key ResponsibilitiesCollaborate across departments to gain a deep understanding of our GTM processes and workflows.Identify and implement opportunities to leverage AI for automating or augmenting GTM workflows, ensuring accuracy and scalability.Utilize existing tools (e.g., Clay, Attention, Zapier) and develop custom solutions using APIs, Python, JavaScript, and/or Google Apps Scripts.Manage projects from experimentation and prototyping through to implementation, rollout, and training.Track project progress and impact, iterating on solutions based on feedback and results.