Machine Learning Specialist at Applied Physics | New York

Join the Applied Physics team as a Machine Learning Specialist at our Advanced Propulsion Laboratory in New York! We are looking for a driven and talented individual to engage in pioneering research within dynamic and evolving fields. Key Responsibilities: Investigate and analyze advanced Machine Learning algorithms tailored to specific challenges. Develop, train, and validate algorithms for targeted problem areas. Assist in integrating these algorithms into comprehensive programmatic systems that depend on such technologies. Work collaboratively in a multidisciplinary team environment to achieve research objectives. Engage in both independent and joint research initiatives while collaborating with a diverse range of scientists within and outside the Laboratory. Publish findings in peer-reviewed journals and present at conferences, seminars, and meetings. Travel as necessary to coordinate with collaborators and conduct site visits.

Join our innovative team at Applied Physics as a Data Scientist, where you will work with an eclectic mix of data types. You will collaborate closely with a dynamic group of computer scientists and engineers, driving advancements in data analysis, machine learning, and information visualization.Key Responsibilities:Partner with scientists and researchers to craft cutting-edge algorithms and software solutions addressing complex challenges.Evaluate data science research needs for Applied Physics and the Advanced Propulsion Laboratory.Regularly collaborate with fellow developers to exchange knowledge and recommendations, ensuring team deliverables are met.Independently design technical solutions while contributing as part of a multidisciplinary team to analyze and implement software based on client needs.Create and integrate components for an operational information and knowledge discovery system.

Join our innovative team at Applied Physics as an Electromechanical Engineer, where you will engage in a diverse range of dynamic and challenging projects across various sectors, from energy storage solutions to space exploration initiatives.Key Responsibilities:Design and develop cutting-edge electromechanical systems from initial concept to production.Conduct thorough feasibility studies, simulations, and prototype development.Work collaboratively with cross-functional teams to integrate electromechanical systems into comprehensive product solutions.Develop and execute testing protocols, analyzing data to ensure the reliability and performance of products.Identify, troubleshoot, and resolve issues throughout the product development lifecycle.Continuously maintain and enhance existing electromechanical systems.Qualifications:Bachelor's or Master's degree in Electrical Engineering or a related discipline.A minimum of 3 years of experience in electromechanical design and development.Proficiency in CAD software such as SolidWorks, AutoCAD, or equivalent tools.Solid understanding of electrical and mechanical components, including motors, sensors, controllers, and actuators.Exceptional problem-solving and analytical capabilities.Strong communication and teamwork skills.Preferred Qualifications:Experience with PCB design and assembly.Background in mechatronics or robotics.Familiarity with international standards and regulations governing electromechanical systems.Experience in a startup or entrepreneurial environment.Benefits:We provide a competitive salary and comprehensive benefits package, including flexible working hours and opportunities for professional growth and career advancement. Become a part of our passionate team and contribute to making a positive difference in the world.If you are a driven and compassionate individual who shares our commitment to innovation, we invite you to apply for this exciting opportunity to join Applied Physics. We are proud to be an equal opportunity employer.

Join Applied Physics as our Chief Financial Officer, where you will spearhead our financial operations and strategic initiatives. As a pivotal figure in our executive leadership team, you will craft and execute our financial strategy, navigate regulatory compliance, and optimize our patent portfolio while pursuing new technological advancements. Collaborate closely with fellow C-suite executives to deliver insightful financial guidance for strategic decisions, and engage with our board of directors and ethics committee.

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.

Join Virtu Financial, a leading quantitative trading firm, where innovation meets impact in the financial markets. As a Machine Learning Researcher, you will engage in groundbreaking research opportunities within a dynamic and agile organization. This role presents a unique blend of intellectual challenge and immediate business influence, as you navigate complex problems that lack straightforward solutions.Your responsibilities will encompass our entire modeling ecosystem, from feature engineering and deep learning architecture to training dynamics and execution strategies. Your pioneering contributions will shape our market operations globally, making a real difference in a fast-evolving industry that thrives on creative problem-solving and first-principles thinking.We seek individuals with a strong sense of curiosity, a robust technical skill set, and a collaborative spirit, regardless of their industry background.

Join Our Team at TandemAt Tandem, we're redefining the way new therapies are introduced to the market. Our approach is not only innovative but is also significantly de-risked. Here’s what sets us apart:Rapid Organic Growth: With product-market fit and a rapidly expanding user base, Tandem supports thousands of new patients daily and collaborates with leading biopharma companies, gaining traction through strong word-of-mouth referrals from doctors.AI-Driven Business Model: Our strategy is fundamentally enhanced by AI, and as foundational models evolve, our business becomes even more robust. We’re fostering resilience through two-sided network effects that grow over time.Premium Investors: With strong backing from top-tier investors such as Thrive Capital, General Catalyst, and Accel, we’re building an exceptional team of engineers and operators.Our top priority is scaling to meet market demand. We seek high-energy, resourceful individuals ready to help us expand our capacity and accelerate growth. Our pace is fast, and we need to move even faster.All full-time positions are located in our New York office. Discover more about working with us in the final section of this page.About the RoleAs an Applied AI Engineer, you will tackle real-world applications of LLMs and other machine learning techniques to address business challenges and develop pioneering AI solutions. This role demands a comprehensive understanding of our product ecosystem and the drivers of our business, empowering you to make a significant impact both cross-functionally and independently. You will oversee projects from inception to completion, including defining, designing, developing, launching, and ensuring the success of your initiatives—measuring their effects on user growth, operational efficiency, and revenue generation.This role is challenging and grants a high level of autonomy and responsibility. We expect you to take ownership and commit to Tandem’s success. If you possess a low ego, a thirst for knowledge, and a passion for impactful work that fosters both company growth and career advancement, we want to hear from you.Your Responsibilities Will Include:Leading AI augmentation and automation projects across our product landscape, addressing various applications...

The School of Professional Studies at Columbia University is on the lookout for a dedicated data analytics professional to join us as a part-time Adjunct Associate Faculty in our graduate course, Applied Analytics Frameworks & Methods I.In today's data-driven world, vast amounts of information are generated at unprecedented speeds through business transactions, online interactions, social media, and various sensors. This influx provides unique opportunities for predicting outcomes and understanding phenomena across diverse fields, including medicine, business, and space exploration. Our course emphasizes supervised learning techniques that facilitate effective predictions and insights. Students will navigate the data-wrangling process, starting with data exploration and foundational methodologies, before diving into supervised learning techniques such as linear regression, decision trees, and support vector machines. Additionally, students will engage in a predictive analytics competition to apply and integrate their learning.As an Adjunct Associate Faculty member, you will play a pivotal role in supporting the instructional process and providing subject matter expertise. This position is an excellent opportunity to gain experience in graduate-level teaching at Columbia University.Key ResponsibilitiesAttend all scheduled class sessions, assist with instruction, lead breakout sessions, and facilitate discussions.Evaluate and grade student work and assessments as directed by the course Lecturer.Address and respond to student concerns and inquiries.

Join the Thread AI Team!At Thread AI, we are committed to creating an AI-native workflow orchestration engine aimed at simplifying infrastructure for both enterprises and public sector organizations striving to maximize their AI capabilities. Our headquarters is located in the heart of New York City, where we are building a dynamic team of AI, product, and engineering professionals with a proven history of successfully designing and executing complex workflows and infrastructures.Our Engineering CultureWe take pride in our small yet highly specialized technical team that manages engineering, research, design, product, and operations. We believe that a flat organizational structure and a culture of collaboration empowers us to innovate faster and deliver superior products compared to larger, hierarchical organizations.About the PositionWe are seeking a talented Applied Data Scientist with a solid background in data engineering principles. This pivotal role will involve the design, development, and maintenance of efficient data pipelines, alongside optimizing data workflows to ensure the reliability and scalability of our data infrastructure. The ideal candidate will possess a blend of technical skills in data engineering, programming languages, and the ability to collaborate effectively across multidisciplinary teams.

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 the PositionJoin our dynamic team at Jane Street as a Machine Learning Researcher, where your intelligence and curiosity will be pivotal in advancing our machine learning initiatives.On the Machine Learning team, you will develop sophisticated deep learning models that underpin our trading strategies. You will have access to an expansive computing cluster, equipped with tens of thousands of powerful GPUs. The trading domain presents unique challenges, including large-scale models and nonstationary datasets within a competitive multi-agent environment, compelling us to explore innovative techniques.At Jane Street, our researchers, engineers, and traders collaborate closely, sitting just a few feet apart to refine models, construct systems, and execute trading strategies. Your day could involve delving into market data, fine-tuning hyperparameters, troubleshooting distributed training performance, or analyzing trading behaviors of our models in real time.We will depend on your extensive knowledge of the machine learning landscape and your familiarity with diverse methodologies, whether they stem from LLMs, image models, reinforcement learning agents, recommendation systems, or traditional ML approaches. You will contribute to training models for our next-generation deep learning-based trading strategies and help cultivate the foundational insights necessary for navigating new markets and scenarios. Additionally, you will be involved in recruiting new team members, participating in conferences, and imparting your expertise to colleagues—all considered vital and impactful aspects of this role.About YouIf a career in finance is new to you, you’re not alone; many of our team members started from similar backgrounds. If you possess a curious mindset and a passion for tackling intriguing problems, we believe you will thrive here. While there isn’t a fixed skill set we are seeking, ideal candidates should possess:Hands-on experience with empirical machine learning challengesThe capacity to apply logical and mathematical reasoning to various problemsA strong intellectual curiosity and enthusiasm for cutting-edge research across multiple ML domainsProficiency in utilizing a diverse range of models and techniquesPractical coding skills to quickly implement and iterate on your concepts using Python and your preferred ML frameworkA willingness to ask questions, acknowledge mistakes, and embrace new learning experiencesFor further insights, take a look at our interview process and meet our team.

At Applied Physics, we are on the lookout for a passionate and skilled Senior Electro-Optical Engineer to enhance our innovative team. This pivotal role involves spearheading the development, design, and rigorous testing of cutting-edge optical systems tailored for space-based applications. The ideal candidate will possess a Bachelor's degree in Optical Engineering, Physics, or a closely related discipline, accompanied by a minimum of five years of relevant professional experience. Alternatively, candidates with a Master's degree and at least three years of experience, or a related PhD, are also encouraged to apply.

About Us:At Fireworks AI, we are pioneering the future of generative AI infrastructure. Our platform is recognized for delivering the highest-quality models with the fastest and most scalable inference capabilities in the industry. Proudly benchmarked as a leader in LLM inference speed, we are at the forefront of innovation with projects like function calling and multimodal models. As a Series C company valued at $4 billion, we are supported by prestigious investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. Our team comprises ambitious builders, many of whom hail from Meta PyTorch and Google Vertex AI.The Role:As an Applied Machine Learning Engineer, you will play a crucial role in bridging the gap between advanced AI research and practical applications. Your responsibilities will include developing, fine-tuning, and operationalizing machine learning models that deliver significant business value and enhance user experiences. This hands-on engineering position demands a blend of deep technical expertise and a strong customer-centric approach to create scalable AI solutions.Key Responsibilities:Customer Success: Collaborate with the Go-To-Market (GTM) team, including Account Executives and Solutions Architects, to ensure seamless integration and successful deployment of machine learning solutions.Demo / Proof of Concept (PoC): Develop and present engaging PoCs that showcase the capabilities of our AI technology.Application Build: Design, develop, and deploy end-to-end AI-powered applications customized to meet customer needs.Platform Features / Bug Fixes: Contribute to the internal machine learning platform by adding features and resolving issues.New Model Enablements: Integrate and enable new machine learning models within the existing platform or client environments.Performance Optimizations: Enhance the performance, efficiency, and scalability of deployed models and applications.Partnership Enablement: Collaborate closely with partners to facilitate joint AI solutions and ensure effective collaboration.

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 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 the Position Join Jane Street as a Machine Learning Educator, where your expertise will empower our team to excel in the dynamic world of machine learning. As a vital contributor, you will guide our members in understanding and applying machine learning concepts effectively. At Jane Street, machine learning is integral to our global operations. Our fast-paced trading environment provides an ideal platform for hands-on ML experimentation, facilitating the integration of innovative ideas seamlessly. Our team is composed of dedicated professionals who share a passion for software engineering and the creation of user-friendly APIs and systems. Education is a cornerstone of our philosophy. We believe that continuous learning and exploration are essential for our growth. As machine learning integrates into every facet of our operations, we are committed to enhancing our educational offerings. The Machine Learning Educator will play a crucial role in developing and enhancing our educational programs and courses, covering a wide array of topics from introductory machine learning to advanced model training techniques. We are seeking a candidate who: Is a proficient and engaging teacher, demonstrating excellent writing and presentation skills. Is adept at coding, with a strong desire to contribute to our machine learning research through hands-on experience with our technology stack. Serves as a mentor to aspiring educators, guiding them in curriculum development and teaching methodologies. We look forward to connecting with individuals who have experience teaching machine learning in academic or industry settings. If you are a recruiting agency interested in partnering with us, please reach out to agency-partnerships@janestreet.com.

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.

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.

About the Position Jane Street is seeking intelligent and inquisitive minds to join our expanding Machine Learning team and lead our innovative ML initiatives. As a Machine Learning Researcher, you will develop advanced deep learning models that enhance our trading strategies, supported by our powerful computing cluster featuring tens of thousands of high-performance GPUs. The trading landscape presents unique challenges—such as complex models and dynamic datasets within a competitive multi-agent setting—driving us to explore cutting-edge methodologies. At Jane Street, our researchers, engineers, and traders collaborate closely, often just a few feet apart, to train models, design systems, and execute trading strategies. Each day may involve analyzing market data, optimizing hyperparameters, troubleshooting distributed training performance, or assessing our models' real-world trading behavior. Your extensive knowledge of the machine learning ecosystem and familiarity with diverse methodologies—ranging from LLMs, image models, reinforcement learning agents, recommendation systems, to classical ML techniques—will be instrumental in shaping the future of ML at Jane Street. You will be responsible for training models that will inform the next generation of our deep learning-driven trading strategies, as well as building the foundational insights necessary for navigating new markets and situations. Additionally, you will engage in hiring new talent, attending conferences, and sharing knowledge with teammates—all considered vital aspects of your role.