Staff Machine Learning Engineer at Pragmatike | New York

OverviewInfinite Machine is seeking a passionate Systems Engineering Intern to assist in the development of internal tools and validation processes for our cutting-edge products, P1 and Olto. This internship offers a unique opportunity to work at the convergence of mobile software, backend services, and vehicle dynamics, highlighting hands-on testing, automation, and swift problem-solving.Your role will involve rigorously testing new mobile application and vehicle firmware releases across various supported devices, creating diagnostic tools for vehicles, and enhancing internal workflows to support vehicle platform evolution.This position is hands-on and based at our headquarters in Long Island City, where you will collaborate closely with a dedicated engineering team.ResponsibilitiesConduct weekly validations of new mobile application releases on actual vehicles and supported Android and iOS devices.Perform ongoing testing of vehicles to verify firmware update quality and assess vehicle performance.Design, implement, and sustain an automated testing pipeline for mobile application releases and associated backend services.Guarantee comprehensive test coverage across various vehicle setups, firmware versions, and device types.Monitor test outcomes, regressions, and release readiness using issue tracking and test management tools.Engage in troubleshooting customer-reported issues related to mobile application and vehicle interactions.Contribute to resolving bugs or enhancing features within the mobile application or supporting tools as needed.Collaborate with software, firmware, and vehicle teams to continually refine validation processes and enhance release quality.QualificationsRequiredPursuing or recently completed a degree in Computer Science, Electrical Engineering, or a related field.Experience in testing mobile applications on both Android and iOS platforms.Familiarity with the interplay between embedded firmware and software systems.Background in designing or validating electromechanical systems.Proficiency in programming languages such as Python, C, C++, Rust, or Go.Strong grasp of software debugging techniques and root-cause analysis.Exceptional attention to detail and problem-solving skills.

Infinite Machine is seeking a motivated AI Intern to strategically integrate AI technologies across our diverse operations, including product development, design, manufacturing, warehousing, software, finance, and legal sectors. This role also involves contributing to the creation of intuitive, user-centric software solutions.ResponsibilitiesUtilize AI to enhance workflows and remove obstacles throughout the organization:Product development and specificationsIndustrial design, documentation, and reviewsManufacturing, quality assurance, and supplier coordinationWarehousing, logistics, and inventory managementSoftware development and internal toolsFinance, legal, and operationsEmploy tools such as Claude Code, LLM-based agents, IDE copilots, scripting tools, and workflow automations effectively and safely.Develop lightweight internal tools such as scripts, agents, dashboards, and automation processes.Support user-facing software where AI significantly enhances performance, clarity, or user experience.Implement AI in hardware and embedded systems workflows, including:Assisting with firmware development and debuggingGenerating and reviewing embedded codeInterfacing with hardware APIs, test rigs, and diagnosticsAccelerating bring-up, testing, and documentationDesign AI workflows with well-defined boundaries, fallback mechanisms, and human-in-the-loop controls.Document systems to ensure others can understand, trust, and build upon them.QualificationsStrong understanding of coding principles:Ability to read and reason about production codebasesFamiliar with APIs, data flows, state management, and potential failure modesCapable of writing code when necessary without defaulting to rewriting existing solutionsExperience with hardware hacking or embedded systems:Familiarity with microcontrollers, firmware, sensors, or low-level interfacesUsing AI tools to assist in embedded programming and debugging tasksSolid systems thinking and problem-solving abilities.

OverviewInfinite Machine is seeking a dynamic Retail Sales Associate to spearhead vehicle sales in New York City. In this pivotal role, you will cultivate strong relationships with high-value customers, successfully close deals, and play a vital part in shaping our growth strategy. We are looking for someone who excels at selling premium products and is enthusiastic about revolutionizing urban mobility.Key ResponsibilitiesDrive vehicle sales throughout NYC.Establish and nurture relationships with potential customers, converting interest into sales.Conduct engaging product demonstrations and test rides.Act as a brand ambassador for Infinite Machine at events and local activations.Collaborate closely with marketing and leadership to align on sales objectives.Monitor sales performance and provide insights to enhance the sales process.Contribute to the development of a scalable sales playbook for national expansion.Qualifications2-5 years of experience in vehicle sales, luxury retail, or premium customer service.Demonstrated track record of meeting or exceeding sales targets.In-depth knowledge of the New York City market.Exceptional communication skills with a strong ability to close sales.Able to thrive in fast-paced environments.A genuine passion for design, technology, and urban mobility.

OverviewInfinite Machine is seeking a talented Systems Validation Engineer to lead the validation processes for vehicle software, firmware, and interconnected systems. This dynamic role bridges mobile software, backend services, and vehicle functionality, prioritizing hands-on testing, automation, and swift issue resolution.In this position, you will guarantee that new mobile application and vehicle firmware releases undergo comprehensive testing across all supported devices and vehicle configurations prior to deployment. Your responsibilities will include developing and sustaining an automated testing pipeline, validating releases on actual vehicles, and collaborating closely with software engineers to identify and resolve issues. Additionally, you may directly contribute to bug fixes and minor development features as needed.This is a hands-on, on-site role, requiring close collaboration with a compact engineering team at our headquarters in Long Island City.ResponsibilitiesConduct weekly validations of new mobile application releases on real vehicles and compatible Android and iOS devices.Continuously test vehicles to ensure the quality and functionality of firmware updates and assess vehicle performance.Design, implement, and maintain an automated testing pipeline for mobile application releases and associated backend services.Ensure comprehensive test coverage across various vehicle configurations, firmware versions, and device types.Monitor test outcomes, regressions, and release readiness utilizing issue tracking and test management tools.Engage in debugging customer-reported issues related to mobile applications and vehicle interactions.Assist in bug fixes or feature enhancements for the mobile application or supporting tools as required.Work in partnership with software, firmware, and vehicle teams to continuously enhance validation methods and release quality.QualificationsRequiredMinimum 2 years of experience in a software validation or development role.Proficient in testing mobile applications on Android and iOS platforms.Solid understanding of the interaction between embedded firmware and software systems.Familiarity with mobile development technologies including React Native, Swift / Objective-C, or Java / Kotlin.Strong knowledge of software development life cycle (SDLC) and testing methodologies.

About Yext Yext (NYSE: YEXT) helps brands manage their visibility and engagement across search engines, social media, websites, direct communications, and more. With over 2 billion trusted data points and a suite of integrated products, Yext gives organizations the tools to control their digital presence and gain actionable insights. The company has earned recognition as a 'Best Place to Work' from Built In, Fortune, and Great Place To Work®. Role Overview: Systems Engineer The Systems & Networking team designs and maintains the infrastructure that supports the entire Yext platform. This group focuses on building infrastructure that is reliable, predictable, and secure, spanning both co-location facilities and cloud environments. What You Will Do Develop and maintain infrastructure using a mix of open-source and commercial technologies. Support Yext teams by providing a stable and secure platform for development, support, and maintenance. Advise teams on best practices for using and integrating with infrastructure resources. Location This role is based in New York, NY.

Why Choose Charlie Health?In a world where millions face mental health challenges, including substance use disorders and eating disorders, access to effective care often feels out of reach. Barriers such as limited local resources and lengthy wait times can leave individuals feeling overlooked and unsupported.At Charlie Health, we are dedicated to transforming this landscape. Our mission is to provide life-saving behavioral health treatment through personalized, virtual care that fosters connections—between clients and clinicians, care teams, loved ones, and their supporting communities. By addressing the needs of those with complex challenges, we are expanding access to impactful care, enabling better outcomes from the comfort of home.As a fast-growing organization, we are continually reaching new communities and building a team that is redefining the standards of behavioral health treatment. If you are eager to leverage your skills to create lasting change and help individuals access the care they deserve, we invite you to join us.About the RoleCharlie Health is a leader in high-acuity virtual behavioral care, having successfully provided life-saving treatment to over 100,000 clients nationwide. Our Matching and Outcomes team is at the forefront of developing products that enhance clinical outcomes, including sophisticated provider recommendation systems and clinical decision support tools. In this role, you will create predictive models and workflows that connect patients with the most suitable therapists and peers, empowering clinicians to customize care based on individual client needs. The systems you develop will synthesize knowledge from our clients and providers into actionable insights, improving treatment effectiveness at every step. If you are driven to utilize data-driven insights to enhance outcomes, this team is the perfect fit for you.

Join Trexquant as a dedicated Linux Systems Engineer, where you will play a pivotal role in constructing, managing, and scaling our on-premise infrastructure. This hands-on position emphasizes bare-metal Linux systems and offers significant ownership of server provisioning, storage management, and overall system reliability.The ideal candidate will be meticulous, highly disciplined, and adept at thriving in a challenging, production-critical environment. This role is specifically tailored for individuals with extensive experience in physical infrastructure, Linux internals, and automation within a high-performance context.Key Responsibilities:Construct, provision, and manage bare-metal Linux servers, overseeing OS installation, configuration, and lifecycle management.Take full ownership of server infrastructure from hardware through to the operating system and core services, ensuring optimal stability and performance.Configure and manage storage systems, including ZFS and enterprise storage platforms (e.g., NetApp, Dell, or similar).Monitor system health and performance, troubleshoot issues, and implement sustainable long-term solutions.Develop and maintain automation scripts using Ansible and Bash to standardize provisioning, configuration, and operational procedures.Conduct system patching, upgrades, and capacity planning across an expanding server fleet.Engage in incident response and root cause analysis, focusing on the continuous improvement of system reliability.Collaborate with engineering and infrastructure teams to optimize application performance on Linux systems.Contribute to documentation, runbooks, and operational best practices.Support data center operations as required, including hardware troubleshooting, racking, cabling, and server replacements.Occasionally travel to data centers for maintenance, expansions, and problem resolution.

Join Tagup, a pioneering defense technology company established at MIT, as we revolutionize logistics superiority through advanced AI solutions. Our mission is to deliver innovative technologies that tackle the most pressing challenges in high-stakes environments. This is your chance to contribute to critical national security efforts and support U.S. and allied forces in meaningful ways. Help us shape the future of defense logistics for a safer world.We are on the lookout for a skilled Machine Learning Engineer to bolster our Salt Lake City team, focusing on the development of next-generation AI-driven defense and aviation systems. In this role, you will transcend traditional model building by designing, deploying, and scaling AI solutions that are essential for mission-critical operations.This position offers a unique opportunity to work at the intersection of groundbreaking research and practical application, creating models and infrastructure that enhance reliability, efficiency, and performance.If you are passionate about overcoming complex technical challenges and wish to make a tangible impact on national security and aviation safety, we invite you to apply.

About BlacksmithAt Blacksmith, we revolutionize CI workload infrastructure, delivering unparalleled speed and cost-effectiveness through our proprietary fleet of global bare-metal machines, which eliminates the need for generic cloud VMs.We successfully orchestrate tens of millions of Firecracker VMs monthly, supporting over 1,200 companies while achieving approximately $10 million in annual recurring revenue in under two years.Our operations span thousands of bare-metal machines across various regions, managing a petabyte-scale Ceph cluster and consistently scheduling over 30,000 vCPUs concurrently.Backed by $13.5 million in funding from notable investors such as Google Ventures (GV), we are focused on cultivating a small yet exceptional team.Founded by experts with extensive experience in systems and scaling, including roles at Faire and Cockroach Labs, we are expanding our CI infrastructure into a comprehensive platform that includes running agent sandboxes at scale and developing our own background coding agent.

Role overview physicsx is seeking a Machine Learning Engineer to join the team in New York. The position centers on designing machine learning models and working with large, complex data. These efforts help drive technology projects and process improvements throughout the company. What you will do Build and refine machine learning models for practical use cases Examine and interpret challenging datasets to extract insights Collaborate with colleagues from a range of disciplines to identify opportunities for machine learning solutions Contribute to technology initiatives and process optimization projects across the organization Location This role is based in New York, United States.

About UsPhysicsX is an innovative deep-tech firm rooted in numerical physics and Formula One, committed to propelling hardware advancements at software pace.We are developing an AI-driven simulation software suite for engineering and manufacturing across cutting-edge industries. Our technology facilitates high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, unlocking unprecedented levels of optimization and automation in design, manufacturing, and operations. This empowers engineers to expand the limits of what’s possible. Our clientele includes top pioneers in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Note: We are actively hiring for various roles; please apply only for the position that aligns best with your expertise and career aspirations.Who We’re Looking ForAs a Senior Machine Learning Engineer in Delivery, you are a seasoned problem solver and technical leader focused on generating impactful solutions. You possess the ability to grasp complex engineering concepts across diverse industries, spearhead technical initiatives, and work directly with clients—often collaborating on-site—to integrate cutting-edge AI models into practical tools.You have successfully delivered ML systems end-to-end and at scale: designing, building, and testing reliable, scalable ML data pipelines; you are adept at exploring and manipulating 3D point-cloud and mesh data to facilitate geometry-aware modeling; you select optimal libraries, frameworks, and tools, making practical product decisions that pave the way for Delivery's success. Operating at the intersection of data science and software engineering, you transform R&D and project outputs into reusable libraries, tools, and products.With a minimum of 3 years of industry experience (post-Master's or PhD) in a commercial, non-research environment, you are prepared to not only execute but also lead and mentor others. You are passionate about taking ownership of intricate work streams and guiding teams towards success, while continuously enhancing the systems and solutions you engage with to meet the evolving needs of our clients.This RoleAs a Senior Machine Learning Engineer, you will collaborate closely with our Data Scientists, Simulation Engineers, and clients to comprehend and define the engineering and physics challenges we are addressing. You will engage with clients and leverage your influence to guide decisions around reliable deployment with tangible outcomes.You will:Own the deployment of...

About Treeswift:Facing challenges from severe storms, wildfires, and the demand for affordable energy solutions, Treeswift is dedicated to helping energy companies transform their field operations to tackle unprecedented growth and challenges. Our innovative sensors are deployed in the field, collecting extensive LiDAR and imagery data, which is then analyzed by our advanced AI models to provide actionable insights through our web platform. To date, our technology has empowered utilities to mitigate wildfire risks, streamline regulatory compliance, and accelerate recovery from severe weather events.Since launching our services to utilities in June 2024, we have partnered with three of the five largest utilities in the United States and are rapidly expanding our customer base. We are building a team of passionate experts with extensive backgrounds in robotics from prestigious institutions like Penn, Caltech, and CMU, along with experience in enterprise software development from companies such as Palantir, Stripe, and Oracle. Our mission is supported by leading investors, including Penny Pritzker’s Inspired Capital.Headquartered in lower Manhattan, Treeswift also maintains an office in Philadelphia, with team members located closer to customer sites in the Bay Area.About the Role:We are seeking a talented and driven Machine Learning Engineer to join our dynamic team. In this pivotal role, you will develop and implement cutting-edge machine learning solutions to advance our mission. The ideal candidate will have a strong background in training and deploying models within commercial environments. If you are an enthusiastic engineer with a desire to shape the future of distributed infrastructure management, we encourage you to apply.This position is full-time and offers a hybrid work arrangement, requiring in-person attendance two days a week at our NYC office.Key Responsibilities:Drive the development of innovative machine learning models. Your work will focus on enhancing the efficiency and accuracy of energy infrastructure fieldwork, specifically through the development of LiDAR point cloud models for landscape and infrastructure classification, as well as image models for assessing vegetation attributes such as species and health.

Join Virtu’s Research Technology team as an accomplished Machine Learning Engineer. You'll be part of a dynamic group of specialists focused on creating the robust infrastructure that fuels our quantitative researchers. This is a rare chance to engage at the crossroads of machine learning and systematic trading, developing tools that directly influence the efficiency and speed of our research capabilities. In this pivotal role, you will spearhead the development of our machine learning research platform. Your responsibilities will include managing data and computational resources, tracking experiments, and empowering researchers to transition from concept to result with maximum efficiency. Collaborating closely with quantitative analysts and engineers, you will significantly impact the implementation of machine learning practices as we enhance our operational capabilities. Our tech stack primarily includes Python, C++, and Java, complemented by various open-source tools and proprietary technologies.

About FinchAt Finch, we envision a world where every American household has access to legal counsel during significant life events. We are transforming the legal landscape by creating innovative infrastructure that enhances justice accessibility. Our modern consumer law framework automates administrative tasks, prioritizing client needs, starting with personal injury cases.Since our launch in April, we have experienced exponential growth, expanding our reach tenfold and supporting pre-litigation processes for leading law firms nationwide. We seamlessly blend expert operations with cutting-edge AI technology to manage intake, claim initiation, medical records, police reports, lien management, demands, and every detail in between.Backed by distinguished investors including Sequoia and Redpoint, along with founders and CEOs of transformative companies like DoorDash, Ironclad, and Digits, we are fundamentally reshaping how legal services are delivered to everyday Americans. We are in search of exceptional talent to help us scale this mission across the country.This RoleLegal processes often involve navigating unstructured documents, repetitive tasks, and data that current systems struggle to manage. As a Machine Learning Engineer at Finch, you will take ownership of the entire AI system lifecycle—from prototyping to deployment—addressing challenges where a single innovation can significantly enhance law firm operations.What You'll DoIn this hands-on applied AI position, you will develop and deploy production-ready systems rather than just conducting experiments. Your responsibilities will evolve alongside our product and team.Create voice agents, browser agents, OCR pipelines, and LLM-driven workflows that consistently perform well in production.Establish robust evaluation frameworks and feedback mechanisms to enhance model accuracy and dependability.Manage the complete ML lifecycle, including model selection, fine-tuning, prompt engineering, deployment, and monitoring.Collaborate closely with product teams, operations, and legal experts to ensure the AI solutions address the right challenges.Monitor emerging research and tools, making informed decisions on their integration into our technology stack.Who We Have in MindWe seek engineers who prioritize results over algorithms and are equally proficient in production environments and analytical settings. Below are the key qualifications we are looking for.Must-HavesOver 3 years of experience in building and deploying production ML systems.Proficient in Python, with experience across the full ML stack.

Why Join DoppelAt Doppel, we are determined to combat one of the most significant challenges posed by AI: mass-manufactured social engineering. With the rise of scams, deepfakes, and various social engineering attacks infiltrating every digital channel—from websites and social media to ads and encrypted messaging apps—our mission is both simple and audacious: to create a safer internet by outsmarting the fastest-evolving digital threats.Supported by renowned investors such as a16z and Bessemer, and trusted by leading brands including OpenAI, United Airlines, and Coinbase, Doppel is experiencing rapid growth. If you are passionate about tackling real-world problems with innovative technology, we would love to connect with you.What We Are BuildingWe are developing an AI-native social engineering defense platform. This entails creating scalable systems that monitor billions of domains, social media accounts, applications, dark web forums, and more, utilizing AI agents to identify and neutralize digital threats.Your RoleWe are seeking a talented Machine Learning Engineer to contribute to the development and scaling of the models and systems that drive Doppel’s detection capabilities. In this position, you will:Design, train, and deploy models for both batch and real-time inference to identify malicious or infringing content across a variety of data sources.Collaborate closely with the Detection and Infrastructure teams to ensure our ML systems can scale with the increasing volume of web data we process.Tackle challenges that span from Natural Language Processing (NLP) and embeddings to similarity search, classification, and anomaly detection.Engage directly with customers and internal stakeholders to translate real-world threats into practical ML solutions.

Join SeatGeek: Where Live Events Come to Life!At SeatGeek, we believe that live events are transformative experiences that bring people together. Our innovative technology and fan-centric approach are revolutionizing the ticketing industry.As a pioneering technology company, SeatGeek is on a mission to disrupt the $300 billion ticketing landscape. We have the vision, products, and team to enhance the experience for performers, venues, and fans while establishing a lasting consumer brand. Now, we’re looking for passionate individuals like you to join our journey.We’re seeking a Senior Machine Learning Engineer to join our R&D team, bringing your expertise to our dynamic projects.

Role overview Peloton Interactive, Inc. seeks a Senior Machine Learning Engineer based in New York. This position centers on building and improving machine learning algorithms that drive the evolution of Peloton’s fitness technology. The team’s efforts support new AI-powered features and enhance the way users engage with Peloton’s products. What you will do Design, develop, and deploy machine learning models for Peloton’s platform Optimize algorithms to improve user experience and increase engagement Work closely with engineers and product teams to deliver AI-driven features Impact This role plays a part in making fitness more accessible and enjoyable for Peloton’s community. The work directly influences how members experience workouts and interact with content on the platform.

Why Choose Auctor?At Auctor, we are revolutionizing the world of professional services and software implementation by developing the AI layer that serves as the core of the most proficient solution engineers and onboarding teams. Our cutting-edge technology automates the discovery, documentation, and decision-making processes that fuel over $400 billion in services annually. The potential in this field is enormous and largely untapped.Internship OverviewJoin our dynamic team in New York City for a 10 to 12-week immersive internship, where you will contribute to building the next generation of AI-driven workflow tools. You will collaborate directly with engineers on impactful projects that deliver real value to our customers—no trivial tasks or shadow work here.Your ResponsibilitiesDevelop features within our Next.js and Python framework, spanning from API to UI.Create prototypes and benchmark LLM-powered workflows.Construct retrieval pipelines over complex enterprise datasets.Produce clean, well-tested code and see it go live in production within the same week.Present your work directly to customers and the leadership team.What We SeekStrong foundational programming skills (data structures, algorithms, basic networking).Proficiency in Python and TypeScript (or a strong eagerness to learn).An inquisitive mindset towards LLMs, vector databases, and scalable infrastructure.A proactive approach—focus on building first, refining second, and always delivering.Willingness to work on-site in NYC at least five days a week (in-person collaboration is key).Compensation$55.00 per hourPerks & BenefitsEquity opportunities for returning interns and full-time roles.Enjoy catered lunches and dinners.Housing assistance provided.

Join our dynamic Machine Learning team at Jane Street, where we're seeking an innovative engineer with extensive experience in machine learning and a solid mathematical background. Your role will be pivotal in shaping the trajectory of our ML platform. Machine learning is integral to Jane Street's global operations. Our fast-paced trading environment offers a unique platform for rapid experimentation in ML, enabling us to seamlessly integrate new concepts. Our team comprises passionate individuals who value exceptional software engineering and the design of user-friendly APIs and systems. Your deep understanding of the ML ecosystem and various methodologies—be it neural networks, random forests, gradient-boosted trees, or advanced ensemble techniques—will be crucial for informed decision-making, ensuring we utilize the optimal tools for each challenge. You will also focus on refining research workflows to enhance our feedback loops. Successful ML engineers can grasp the mechanics of diverse modeling techniques and communicate the underlying mathematics effectively. If you haven't considered a career in finance before, rest assured, you're not alone; many of our team members started in similar positions. While we don't have a rigid set of qualifications, your curiosity and passion for solving complex problems will greatly contribute to our team culture.