Machine Learning Engineer at Treeswift | New York

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.

As the challenges of severe weather events, rising costs, and the need for system advancements continue to grow, Treeswift is at the forefront of empowering energy companies to modernize their operational capabilities.Our innovative technology deploys sensors in customer field operations, often on backpacks or vehicles, capturing a wealth of LiDAR and imagery data. This data is analyzed using our AI models to provide actionable insights through our web platform. Our solutions have already helped utilities mitigate risks related to wildfires, regulatory compliance, and outages caused by vegetation, while also streamlining new construction processes and enhancing storm recovery efforts.Since initiating our first utility pilot in June 2024, Treeswift has rapidly progressed, collaborating with three of the five largest utilities in the United States and expanding our reach into new customer segments.We are assembling a team of mission-driven professionals with extensive expertise in robotics from prestigious institutions such as Penn, Caltech, and CMU, alongside experience in enterprise software from renowned companies like Palantir, Stripe, Oracle, and MongoDB. Our funding comes from leading investors, including Inspired Capital, founded by Penny Pritzker.Headquartered in lower Manhattan, Treeswift also has an office in Philadelphia and customer-facing team members located near client sites, such as in the Bay Area. We actively encourage our software engineers to engage with customers on-site—ask us about this opportunity!We invite you to join us on this impactful journey.

Join Us at Treeswift!At Treeswift, we are dedicated to empowering energy companies to adapt and thrive in an era of unprecedented challenges, including severe weather and escalating demands for infrastructure expansion. Our innovative approach combines cutting-edge technology with field operations, utilizing advanced sensors integrated into backpacks and vehicles to collect extensive LiDAR and imagery data. This data is processed through sophisticated AI models, delivering actionable insights via our web platform.Since commencing our journey in June 2024, we have partnered with three of the five largest utilities in the United States and continue to expand our reach across various sectors. Our team comprises passionate experts with deep expertise in robotics from prestigious institutions like Penn, Caltech, and CMU, alongside seasoned professionals from top-tier companies such as Palantir, Stripe, Oracle, and MongoDB. Backed by leading investors, including Penny Pritzker’s Inspired Capital, we are on a mission to redefine the energy sector.We invite you to be part of this transformative journey!

As energy companies face increasing challenges from severe weather events and the need for infrastructure modernization, Treeswift is at the forefront, enabling them to transform their field operations. Our innovative solutions utilize advanced sensors deployed on backpacks and vehicles, generating vast amounts of LiDAR and imagery data. This data is processed through sophisticated AI models, providing our clients with actionable insights via our web platform.Since initiating our first utility pilot in June 2024, we have rapidly grown, collaborating with three of the five largest utilities in the United States and continuing to expand our client base and use cases.Our team is composed of passionate experts from top institutions and companies in robotics and software development, and we are backed by prominent investors like Penny Pritzker’s Inspired Capital. We are headquartered in lower Manhattan with an additional office in Philadelphia, and we encourage our team members, including software engineers, to engage directly with our customers at their sites.Join us and be part of our mission to shape the future of energy management.

About Treeswift:In an era marked by increasing environmental challenges such as severe storms and wildfires, coupled with the urgent need for affordable energy solutions and system expansion, Treeswift stands at the forefront of innovation. We empower energy companies to modernize their field operations, enabling them to navigate the complexities of growth and emerging threats.We deploy advanced sensors onto our clients' field equipment, such as backpacks and vehicles, capturing extensive LiDAR and imagery data. This data is subsequently processed through our AI models, yielding actionable insights available through our web platform. Our groundbreaking technology has successfully helped utilities mitigate risks associated with wildfires, regulatory compliance, and outages caused by vegetation, while also reducing delays and costs in new construction projects and expediting recovery from severe weather events.Since initiating our partnerships with utilities in June 2024, we have quickly gained traction, now collaborating with three of the five largest utilities in the United States and rapidly expanding our reach to new customers and applications. To meet these demands, we are assembling a team of dedicated experts with rich backgrounds in robotics (from institutions such as Penn, Caltech, and CMU) and enterprise software development (with experience from Palantir, Stripe, Oracle, and MongoDB). Our efforts are backed by prominent investors, including Penny Pritzker’s Inspired Capital.Headquartered in lower Manhattan, Treeswift also operates an office in Philadelphia, with additional team members strategically located closer to customer sites, such as in the Bay Area.We invite you to join us on this exciting journey!About the Role:We are seeking an Account Executive to spearhead complex enterprise sales within the utilities and infrastructure sectors.This strategic role is focused on driving full-cycle sales initiatives, from initial engagement through pilot programs to enterprise-wide deployment. You will collaborate across various departments, including operations, engineering, supply chain, legal, and executive leadership, to translate our innovative product offerings into tangible business value and foster long-term growth.We are looking for a dynamic individual who is passionate about establishing lasting partnerships and unlocking multi-year business opportunities.

Join Treeswift as a Deployment LeadAt Treeswift, we are on a mission to empower energy companies to modernize their field operations amidst increasing environmental threats and system expansion demands. Our innovative technology utilizes advanced sensors mounted on backpacks and vehicles to collect LiDAR and imagery data. This data is processed with our AI models, delivering actionable insights through our web platform.Since initiating our partnerships with utilities in June 2024, we've rapidly expanded to work with three of the five largest utilities in the U.S., continuously growing our customer base and use cases. Our team combines expertise from leading institutions in robotics and enterprise software development, supported by significant investment from top-tier investors.Role OverviewAs a Deployment Lead, you will play a pivotal role in enhancing customer success and product development. Your key responsibilities will include:Leading Deployment Initiatives: Manage deployment and service expansion at our critical customer sites. This involves training users on our platform, defining project requirements, tracking deliveries, and presenting findings to executives. You will also proactively identify opportunities for growth within customer accounts.Product Feature Development: Collaborate closely with engineering and product teams to scope and develop new product features. Your direct engagement with customers will inform necessary improvements and new functionalities, ensuring our solutions meet their needs effectively.

About TreeswiftTreeswift is revolutionizing the way energy companies manage their infrastructure by leveraging AI-powered technology to address the challenges they face. Our innovative solutions enable utilities to modernize field operations, significantly reducing risks, enhancing reliability, and adapting to the evolving demands of the energy grid.We deploy advanced AI-driven sensor systems in utility operations, mounted on backpacks and vehicles, that gather LiDAR and imagery data at scale. Our sophisticated models transform this raw data into actionable insights that mitigate wildfire, outage, and regulatory risks due to vegetation, prevent cost overruns in new construction, and expedite recovery after storms.Since launching our first utility pilot in June 2024, we have expanded our partnerships to include three of the five largest utilities in the United States. We're on an exciting journey ahead.Our diverse team boasts extensive experience from top institutions such as Penn, Caltech, CMU, Palantir, Stripe, MongoDB, and Oracle. We are supported by distinguished investors, including Penny Pritzker's Inspired Capital, and our headquarters are located in lower Manhattan, complemented by an office in Philadelphia and field operations across the nation.Join us as we tackle significant challenges with tangible impacts for people and communities. This is an opportunity to make a difference in an evolving industry.The Position:We are seeking a pioneering Director of Finance at Treeswift, a role that comes at a pivotal time in our growth journey. Having validated our product with leading utilities, we are now focused on establishing a robust financial framework to support our ambitious future. The ideal candidate thrives in complex environments, as we operate at the intersection of hardware, AI, and enterprise infrastructure—creating a financial narrative that is unique and innovative.In this role, you will report directly to our Co-Founder & CEO and will be integral to the financial core of the company, responsible for everything from growth modeling and capital strategy to pricing and investor relations. This position is designed for an individual who is not just looking to maintain a system but is eager to build one—someone who is scrappy yet strategic, invigorated by a close connection to the business they are helping to scale.

Join Treeswift, a leader in energy innovation!At Treeswift, we are on a mission to empower energy companies in modernizing their field operations amidst escalating challenges such as devastating storms, wildfires, and the pressing need for system expansion. Our cutting-edge technology deploys sensors on backpacks or vehicles to collect invaluable LiDAR and imagery data, which is then analyzed through advanced AI models, enabling actionable insights via our web platform. Our solutions have already helped major utilities minimize risks associated with vegetation, reduce construction delays, and expedite recovery from severe weather events.Founded in June 2024, we proudly serve three of the five largest utilities in the United States and continue to expand our customer base and applications. Our team comprises passionate experts with robust backgrounds in robotics and enterprise software development, hailing from prestigious institutions and companies. Our headquarters is in the heart of lower Manhattan, with an office in Philadelphia and team members stationed near customer sites, including the Bay Area.We invite you to be part of this exciting journey!

About Treeswift:Treeswift is at the forefront of transforming how energy companies operate in response to increasing threats such as severe storms and wildfires. We equip these companies with the modern tools they need to enhance field operations and tackle unprecedented growth challenges.By deploying our advanced sensors on backpacks or vehicles, we capture a wealth of LiDAR and imagery data. This data is analyzed through our AI models, providing actionable insights via our intuitive web platform. Our technology has empowered utilities to mitigate risks associated with wildfire, regulatory issues, and outages due to vegetation, while avoiding delays and cost overruns in new construction projects and speeding up recovery from severe storms.Since initiating our collaboration with 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 and use cases. To meet this growing demand, we are assembling a team of dedicated professionals with extensive experience in robotics (from institutions such as Penn, Caltech, and CMU) and enterprise software development (drawing talent from companies like Palantir, Stripe, Oracle, and MongoDB). Our journey is backed by prominent investors, including Penny Pritzker’s Inspired Capital.Located in lower Manhattan, Treeswift also maintains an office in Philadelphia and has customer-facing team members strategically positioned closer to client sites, such as the Bay Area.About the Role:As a Forward Deployed Engineer, your primary focus will be on the integration and implementation of our technology into client operations. In this role, you will:Collaborate closely with clients to gain a deep understanding of their operational challenges and how our technology can address them. Regular on-site visits will be essential for observing their workflows firsthand.Facilitate product deployment at client locations. This includes gathering inputs to configure the platform and assisting in user training for Treeswift’s tools, serving as the first point of contact for support and product feedback.Assist in integrating customer data systems. This includes mapping our data to fit their existing systems, potentially starting with a one-off data transfer, and progressing towards establishing robust operational pipelines, such as API integrations.Adapt and extend the platform to fill any gaps identified in order to meet customer needs.

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.

Location: New York, NYStart date: ASAPLanguages: English (required)About the RoleJoin Pragmatike as we partner with a dynamic AI cybersecurity firm, recognized by top-tier investors and visionary AI leaders. This innovative company is dedicated to establishing robust security measures for the AI era, safeguarding enterprises from advanced threats, including deepfakes, smishing, and synthetic voice attacks.Following a successful Series B funding round with industry-leading AI and venture partners, the organization is poised for substantial growth. Trusted by major financial institutions, technology giants, and healthcare providers, they are rapidly scaling to meet the demands of a $200 billion market opportunity.We are seeking a Staff Machine Learning Engineer to architect and enhance the company’s machine learning capabilities from the ground up. This role is pivotal to our product vision and focuses on strategic ownership, infrastructure development, and comprehensive execution of machine learning across the organization.Currently, there is no dedicated machine learning infrastructure or team. You will lay the groundwork: identifying where machine learning can add product value, designing end-to-end production systems, and setting the technical roadmap for the evolution of machine learning within the company.This position is highly impactful and offers significant autonomy, ideal for candidates experienced in building production ML systems and ready to develop a robust ML function from inception to full-scale operation.What You'll DoDefine the company's machine learning strategy: identifying application areas across products, determining necessary infrastructure, and making informed build vs. buy decisions.Design and construct production ML systems from scratch, including data pipelines, model training workflows, evaluation frameworks, and inference serving.Establish a rigorous evaluation methodology to assess model quality, identify regressions, and support iterative improvements based on data.Oversee data strategy: define necessary data, structure labeling, establish feedback loops, and ensure models evolve continuously.Collaborate closely with product and backend engineers to integrate machine learning into customer-facing systems.Contribute production-quality code to the existing codebase and participate in architectural decision-making.In time, assist in recruiting, mentoring, and leading the ML team as the function grows.

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.

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 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 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.

At PermitFlow, we are transforming the future of construction across America. As a pioneering applied AI firm, we address one of the most significant information challenges in the construction industry: comprehending what can be built, where, and how. Our innovative AI-driven agents empower the nation’s most rapidly growing construction companies to navigate the complexities of permitting, licensing, inspections, and project closeouts—thereby expediting housing, clean-energy, and infrastructure development nationwide.The construction sector, valued at $1.6 trillion, faces substantial delays, resource wastage, and unrealized opportunities. PermitFlow has successfully provided enhanced speed, accuracy, and visibility to over $20 billion in development projects, aiding contractors in minimizing compliance time, mitigating project risks, and scaling operations with assurance.As the U.S. enters a new capital expenditure supercycle encompassing data centers, factories, housing, and renewable energy, becoming a part of PermitFlow means constructing the AI infrastructure that underpins every construction project and propels the upcoming wave of reindustrialization.We have raised over $90 million, recently completing our Series B funding round, backed by prestigious investors such as Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, with support from industry leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters are located in New York City, offering a hybrid work schedule (3 days in the office per week). Preference will be given to candidates based in NYC or those willing to relocate.

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.

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.