Machine Learning Engineer at Gray Swan AI | Pittsburgh

Compensation: $117,300 - $173,060Join Gray Swan AI as a Machine Learning Engineer and contribute to enhancing AI safety solutions. You will engage in impactful research and development, focusing on adversarial testing, model evaluation, and robust inference. Your work will bridge the gap between theoretical research and practical implementation, ensuring AI …

Compensation: $194,650 - $235,790About Gray Swan AIAt Gray Swan AI, we are at the forefront of safeguarding organizations against the evolving security threats posed by artificial intelligence. Our mission is to develop cutting-edge solutions for real-time threat detection, automated validation, and adaptive defenses tailored for AI laboratories and enterprises. With a compact yet dynamic team of around 25 professionals, we are well-funded and experiencing rapid growth.The RoleIn the position of Senior Machine Learning Engineer, you will have a crucial impact on the advancement of AI safety solutions. Your work will intertwine research with practical application, as you delve into the complex challenges surrounding AI security—a domain that remains an open frontier. This role involves applied research and system architecture, focusing on developing innovative approaches to adversarial testing, model evaluation, and robust inference, which are critical for the secure deployment of AI systems.Your deep understanding of state-of-the-art deep learning frameworks, distributed systems, and parallel computing will empower you to address the intricacies associated with resource-demanding models. You will enhance our strategies for managing, monitoring, and analyzing these models, ensuring they adhere to the stringent requirements of production environments.Join Gray Swan AI and utilize your profound technical expertise and leadership qualities to make a substantial difference in the realm of AI safety!What You’ll DoSpearhead the design, development, and deployment of sophisticated machine learning models to boost system performance and scalability.Address intricate challenges associated with resource-heavy models using distributed systems and parallel computing.Enhance methodologies for the control, monitoring, and analysis of machine learning models within production settings.Innovate new strategies for adversarial testing, model evaluation, and robust inference.Convert research concepts into scalable AI systems applicable in real-world adversarial contexts.Mentor junior engineers and foster innovation within the team.Collaborate closely with cross-functional teams to ensure that research findings inform production systems effectively.Who You AreEducationBachelor’s degree in Computer Science or a related field.

About Gray Swan AIAt Gray Swan AI, we are dedicated to safeguarding organizations from the evolving threats in AI security. Our innovative solutions focus on real-time threat detection, automated validation, and adaptive defenses tailored for AI labs and enterprises. With a compact yet skilled team of approximately 25 individuals, we are well-funded and rapidly expanding.Our strong market presence and globally recognized clientele empower our employees with significant responsibilities and meaningful equity from the start. This is a high-ownership environment where you will tackle challenging problems, work swiftly, and contribute to shaping both our products and the company’s future.Many join Gray Swan AI because our mission resonates deeply. We engage in practical, impactful work in AI safety, and this sense of purpose is a key reason why engineers and researchers are drawn to our team.Discover more about our work culture.The RoleWe are seeking a passionate Senior Software Engineer eager to engage in full-cycle development. You will work across the entire stack—frontend, backend APIs, and databases—transforming ideas into tangible products and enhancing existing solutions.While you may not have experience with all the tools we utilize, having a robust full-stack background, the ability to quickly learn new technologies, and the willingness to own your projects without excessive process or oversight is essential. As we are still in our growth phase, individuals who thrive on autonomy, responsibility, and speed will find this opportunity appealing!What You’ll Do:Design and develop web applications utilizing modern frontend frameworks such as Svelte.Create intuitive and user-friendly interfaces that enhance user experience.Develop and maintain backend APIs with tools like FastAPI.Optimize and manage database systems such as MongoDB.Collaborate with our machine learning research team to integrate AI functionalities into our products.Who You Are:Proficient in TypeScript or JavaScript.Experience with frontend frameworks like React, Vue, or Svelte.Strong grasp of HTML and CSS.Hands-on experience in building backend APIs.Familiarity with database systems (SQL or NoSQL; MongoDB experience is a plus).

About Gray Swan AIAt Gray Swan AI, we are dedicated to safeguarding organizations from the rapidly evolving threats posed by artificial intelligence. Our innovative solutions focus on real-time threat detection, automated validation, and adaptive defenses specifically designed for AI laboratories and enterprises. With a compact team of around 25 individuals, we are well-funded and experiencing rapid growth.Our impressive client base includes globally recognized organizations, providing our employees with significant responsibilities and meaningful equity from day one. We foster a high-ownership environment where you will tackle challenging problems, accelerate your projects, and contribute to shaping both our products and the company's direction.Many of our team members are motivated by our mission. We are engaged in practical, high-impact work in AI safety, which is a fundamental reason why engineers and researchers choose to join us.Discover more about our approach.The RoleWe are seeking a dynamic Full Stack Software Engineer who is excited about building comprehensive solutions and isn’t afraid to dive into various aspects of development. You will engage with the entire technology stack—from frontend interfaces to backend APIs and database management—transforming ideas into tangible products and enhancing existing systems.While familiarity with all our tools isn’t mandatory, what matters is your robust full-stack experience, agility in learning new technologies, and comfort in taking ownership of your projects without extensive supervision. As we are in the early stages of our growth, this role suits those who thrive in an autonomous, fast-paced environment.What You’ll Do:Design and create web applications using cutting-edge frontend frameworks like Svelte.Build intuitive and user-friendly interfaces that enhance the user experience.Develop and maintain backend APIs employing tools such as FastAPI.Manage and optimize database systems, with a focus on MongoDB.Collaborate closely with our machine learning research team to weave AI functionalities into our offerings.Who You Are:Proficient in TypeScript or JavaScript.Experienced with frontend frameworks like React, Vue, or Svelte.Strong understanding of HTML and CSS.Hands-on experience developing backend APIs.Familiarity with database systems, both SQL and NoSQL, with MongoDB being a plus.

About Gray SwanAt Gray Swan, we specialize in safeguarding organizations against emerging AI security threats. Our team of approximately 25 passionate professionals is dedicated to developing cutting-edge, real-time threat detection systems, automated validation protocols, and adaptive defenses tailored for AI laboratories and large enterprises. With significant funding and a trajectory of rapid growth, we are making a tangible impact in the AI safety domain.Our impressive client roster includes globally recognized organizations, meaning that from your very first day, you will take on substantial responsibilities and share in meaningful equity. Here, you will thrive in a high-ownership environment where you will tackle complex challenges, make swift progress, and contribute to shaping both our products and the overall direction of the company.Many of our engineers and researchers are drawn to Gray Swan because our mission is significant. We are engaged in substantial, impactful work in AI safety, and that sense of purpose is a core reason why talented individuals choose to be part of our team.Discover more about our work culture.The RoleAs a Forward Deployed Engineer at Gray Swan, you will be instrumental in designing, constructing, and deploying enterprise-level software solutions directly within our customers’ environments. You will collaborate closely with customer teams to seamlessly integrate Gray Swan’s AI security platform into intricate production systems, transforming ambiguous, high-stakes requirements into dependable, scalable deployments.This position is perfect for engineers who prefer not to engage with the same narrow tasks daily. You will work at the convergence of software engineering, systems integration, and client delivery, collaborating closely with customers, sales, product teams, and core engineering. You will take ownership of results from start to finish and excel in dynamic, client-facing environments where reliability, security, and trust are paramount.What You’ll Do:Collaborate with engineering, security, and platform teams to comprehend system architectures, constraints, and operational realities.Design and implement integrations between Gray Swan’s platform and client systems, APIs, data pipelines, and runtime environments.Convert real-world enterprise requirements into well-defined proofs of concept, deployment strategies, and production architectures.Serve as the primary technical owner for customer deployments, swiftly identifying, scoping, and resolving issues across environments.Develop and enhance backend services, integrations, and tools to facilitate secure deployment in a variety of client environments.

At Gray Swan, we are dedicated to safeguarding organizations from the evolving threats posed by artificial intelligence. Our team of approximately 25 talented professionals is committed to developing cutting-edge solutions for real-time threat detection, automated validation, and adaptive defenses specifically tailored for AI labs and enterprises.As a well-funded and rapidly growing company, we boast a robust client base that includes globally recognized names. This translates into a workplace where every employee is entrusted with significant responsibilities and equity from the outset. You will thrive in a high-ownership environment, tackling complex challenges and playing a pivotal role in shaping both our product offerings and company direction.Many join Gray Swan not just for a job, but for a mission that resonates. Our commitment to impactful work in AI safety drives our engineers and researchers, instilling a profound sense of purpose.The RoleIn your capacity as a Senior Sales Engineer at Gray Swan, you will spearhead technical pre-sales initiatives for our AI security platform. Acting as a trusted technical advisor, you will assist enterprise customers in assessing how to secure, govern, and deploy advanced AI systems effectively in their production environments.You will collaborate closely with Account Executives on complex, high-stakes opportunities, taking ownership of the technical narrative from initial discovery through to closing. This role demands a high level of technical credibility, keen commercial instincts, and the ability to distill complex AI security risks into clear, compelling solutions for both technical and executive audiences.This is a hands-on, client-facing role in dynamic environments where clients are often defining their AI security strategies for the first time.Key Responsibilities:Act as the technical lead on enterprise sales opportunities, collaborating with Account Executives to develop and execute effective deal strategies.Lead technical discovery sessions with customer security, AI, and platform teams to assess architectures, threat models, and operational limitations.Establish technical win strategies that include solution designs, evaluation plans, and success metrics.Serve as a trusted advisor to senior stakeholders throughout the purchasing process.Expertise in AI Security & Solution DevelopmentClearly communicate and demonstrate how the Gray Swan platform identifies vulnerabilities in AI systems and the measures required to mitigate these risks.

Aquabyte is on the lookout for a talented and passionate Machine Learning Engineer to spearhead the development and deployment of cutting-edge algorithms for fish farms globally. In this role, you will be integral to the software and machine learning model development for our on-camera and cloud-based solutions.Our MissionAt Aquabyte, we aim to transform the aquaculture industry by enhancing its sustainability and efficiency. This ambitious mission is not only fulfilling but essential in promoting environmentally friendly practices in fish farming, ultimately contributing to the reduction of climate change impacts. As the fastest-growing food production sector, we are at the forefront of determining the technological advancements needed to responsibly harvest and conserve our marine ecosystems for future generations.We pride ourselves on our diverse, mission-driven team and are excited to collaborate with individuals who share our passion. If our vision resonates with you, we would love to hear from you!Our ProductCurrently, our focus is on empowering salmon farmers with deeper insights into their fish populations to facilitate environmentally conscious decision-making. Utilizing custom underwater cameras, advanced computer vision, and sophisticated machine learning techniques, we can accurately measure fish weights, assess health conditions, and create optimal feeding strategies in real-time. Our product encompasses three integral components: on-site hardware for image acquisition, cloud-based data processing pipelines, and a user-friendly web application. This multifaceted approach presents numerous exciting challenges across all areas of our technology stack.At Aquabyte, customer satisfaction drives our product development, as we prioritize the needs of fish farmers in every aspect of our work. We are committed to fostering a collaborative, global team.The RoleAs a Machine Learning Engineer, you will play a key role in developing machine learning models and pipelines while also engaging with databases and data infrastructure. Your responsibilities will include conducting comprehensive data analytics and building statistical inference models to understand biological processes. Working within the AI team, you will develop image and video inference pipelines to evaluate the weight, health, and behaviors of both individual fish and larger populations. You will collaborate closely with experienced engineers who bring a wealth of industry and academic expertise to the table.

At Gray Swan AI, we are at the forefront of safeguarding organizations against emerging threats in artificial intelligence security. Our innovative solutions encompass real-time threat detection, automated validation, and adaptable defenses tailored for AI laboratories and enterprises. With a compact yet dynamic team of around 25 professionals, we are well-funded and experiencing rapid growth.Our strong traction, coupled with a roster of globally recognized clientele, empowers our employees to assume significant responsibilities and gain meaningful equity from day one. We foster a high-ownership culture where you'll tackle challenging problems, act swiftly, and influence both our product and company direction.Many team members are drawn to Gray Swan by the importance of our mission. We are engaged in impactful work within AI safety, and this sense of purpose is a key factor in why engineers and researchers choose to join us.The RoleAs an Enterprise Account Executive at Gray Swan AI, you will be responsible for managing the complete enterprise sales cycle for our highly technical AI safety and security platform. This is not a conventional software sales position. We seek an individual capable of establishing credibility with technical buyers, swiftly understanding complex products, and thriving in a fast-paced startup environment where ownership and initiative are paramount.You will collaborate closely with the founders, engineering, and product teams to convert initial interest into paid pilot programs and long-term deployments. This role combines enterprise selling, technical curiosity, and the agility of a startup, offering substantial autonomy and growth potential.If you are motivated by the prospect of building something significant, working diligently, and closing impactful six-figure deals in a rapidly evolving market, this position may be an excellent match for you.Key Responsibilities:Manage the entire sales process from initial conversation to closure, often beginning with paid pilot programs and scaling to full production deployments.Sell a comprehensive AI safety and security platform, which includes automated adversarial testing/red teaming and runtime defensive solutions for AI systems.Establish credibility with technical and executive stakeholders across AI, security, and engineering departments.Quickly learn and clearly communicate technical concepts, collaborating with internal technical teams to define solutions and address customer inquiries.Engage with buyers in regulated and high-stakes industries such as financial services, healthcare, and insurance.

About Us Are you ready to revolutionize the future of supply chain management? At Gather AI, we are not just developing software; we are at the forefront of a new age in warehouse intelligence. Our innovative, vision-powered platform employs autonomous drones and existing equipment to gather real-time data, fully digitizing processes that have traditionally been manual and prone to errors. This advancement leads to smarter, safer, and more efficient operations, ultimately transforming the concept of 'on-time, in full' delivery. If you're eager to make a significant impact in a critical industry and contribute to truly transformative technology, Gather AI is the ideal place for you. We are spearheading change in the fast-evolving robotics sector, and we invite you to help us reshape the global supply chain, one intelligent warehouse at a time. About the Team In this role, you will lead the Machine Learning and FPT teams, collaborating closely with the Director of Cloud Engineering and the Director of Autonomy. You will engage cross-departmentally with Product and Business leadership to translate machine learning capabilities into tangible product value. This high-visibility position offers direct access to executive leadership and considerable influence over product direction. About the Role We are seeking an experienced Director of Machine Learning to formulate our machine learning strategy, lead our computer vision division, and propel the next phase of ML maturity at Gather AI. You will evaluate our current machine learning and computer vision capabilities, identify gaps and opportunities, and establish a robust technical vision for how machine learning will enhance our warehouse intelligence platform over the next 12–18 months. The ideal candidate will possess extensive expertise in computer vision, a proven track record of delivering production ML systems, and the leadership skills necessary to build and scale an exceptional ML team. What You’ll Do Define and manage the ML strategy and technical roadmap for Gather AI, ensuring alignment with product and business objectives. Lead and expand the Machine Learning and FPT teams, fostering a culture of rigor, experimentation, and high-quality production delivery. Enhance core computer vision models (object detection, segmentation, OCR) utilized across our drone and MHE Vision products. Develop MLOps infrastructure, including model training pipelines, deployment, monitoring, and CI/CD for ML workloads. Collaborate with the Director of Cloud Engineering and Director of Autonomy to guarantee seamless integration of ML systems within the broader platform. Partner with Product and Operations teams to translate customer needs into ML-driven product solutions.

Join us in shaping the future through innovative solutions.Woolpert is a globally recognized leader in architecture, engineering, and geospatial services, celebrated for our blend of design excellence and advanced technology. Our dedicated team is passionate about driving progress and fostering the next generation of industry leaders. As a certified Great Place to Work® , we are committed to innovation and creating boundless opportunities for professional development.Position OverviewWoolpert is seeking a Senior Software Engineer to become a part of our dynamic Atlas Labs team, focusing on our Geospatial sector. This role reports to the Director of Product and AI. Atlas Labs is responsible for advancing technology within Woolpert’s Geospatial sector, encompassing AI model development, research and development, software infrastructure, and user-facing products.Note: We are unable to provide visa sponsorship for this position. Applicants must have existing work authorization in the United States.What You Will Do:Engage in the planning, research, design, architecture, development, and testing of software features for Atlas Labs. Daily coding is essential, primarily in Python, with potential use of C++ or JavaScript.Collaborate within a cross-functional Scrum team alongside experts in AI/ML, Geospatial Data, Software Engineering, and GIS.Work closely with both internal and external users to ensure the accuracy, quality, and availability of Atlas Labs software products.What You Will Bring:Substantial experience with commercial software products.Proficient in writing production-level code in Python, ideally with large datasets.Proven experience or academic background in key areas such as:Geospatial Data ProcessingComputer VisionAI & Machine LearningLiDARRobotics/Self-Driving/AutonomyFamiliarity with relevant technologies including:Linux, Docker, and GitHubAI/ML frameworks (TensorFlow, PyTorch)Cloud platforms (Azure, AWS, Google)Nice to Have:Experience with GIS applications such as ESRI, QGIS.

Join latitude as a Senior Software Engineer specializing in Machine Learning Integration. In this pivotal role, you will leverage your extensive software engineering skills to drive the integration of machine learning solutions into our cutting-edge software stack. Collaborate with cross-functional teams to innovate and enhance our product offerings while ensuring optimal performance and scalability.

Motional, based in Pittsburgh, develops autonomous vehicles with a strong focus on safety, reliability, and accessibility. Supported by Hyundai Motor Group, Motional is committed to advancing physical AI and shaping the future of transportation. The company’s mission centers on making streets safer and encouraging sustainable mobility. The Systems Readiness and Performance team connects software development with real-world deployment. This group handles system design, verifies and validates the autonomy stack, and sets as well as measures performance benchmarks. Team members work closely with autonomy, infrastructure, and operations partners to build the safety case for launching fully driverless IONIQ 5 robotaxis in Las Vegas. Role overview The Senior Engineer, Machine Learning Systems for Autonomy, joins the Autonomy Subsystems team to design and evaluate software modules that power autonomous vehicles. The role centers on assessing machine learning subsystems using offline model evaluations, open and closed-loop re-simulations, and on-road performance analysis. Defining and validating metrics that reflect subsystem performance is a key part of the job, along with sharing insights to help machine learning developers improve the models used in vehicles. What you will do Design and evaluate machine learning software modules for autonomous vehicles Conduct offline assessments of models and analyze results from re-simulations Evaluate the on-road performance of machine learning models Define and validate metrics to measure autonomy subsystem performance Collaborate with machine learning developers to support improvements in deployed models Requirements Experience as a systems engineer, with a background in safety-critical systems and machine learning model evaluation Interest in autonomy, robotics, and machine learning Prepared to help build production-ready systems for robotaxi deployment

Join our dynamic team at latitude as a Senior Software Engineer specializing in Machine Learning Platforms. We are looking for a highly skilled and passionate engineer who is eager to innovate and contribute to cutting-edge projects that drive our machine learning initiatives. In this role, you will collaborate with cross-functional teams to develop robust and scalable ML solutions that impact our business and enhance user experiences.As a Senior Software Engineer, you will leverage your expertise in software development and machine learning algorithms to build, optimize, and maintain ML models. You will also play a crucial role in mentoring junior engineers and fostering a culture of continuous learning and improvement within the team.

Join Aurora Innovation as a Software Engineer focused on developing our Behavior Planning Machine Learning Platform. In this dynamic role, you will contribute to pioneering technologies that enhance autonomous vehicle performance. You will collaborate with a talented team and leverage cutting-edge machine learning techniques to create innovative solutions for real-world challenges.

Duolingo seeks a Staff AI Research Engineer based in Pittsburgh, PA. This role centers on pushing language learning forward using current AI techniques. What you will do Collaborate with researchers and engineers to design and refine machine learning models for the Duolingo platform. Build, test, and deploy advanced AI solutions aimed at improving how users learn languages. Role focus The position emphasizes hands-on work with modern AI methods to enhance the effectiveness and reach of Duolingo’s language learning tools.

About Us At Gather AI, we are on a mission to revolutionize the supply chain industry through innovative technology. Our cutting-edge, vision-powered platform harnesses the power of autonomous drones and existing equipment to capture real-time data, effectively digitizing workflows that have traditionally been manual and prone to errors. This transformation allows warehouses to operate with enhanced intelligence, safety, and efficiency, thus redefining the standards for timely delivery. If you are eager to contribute to groundbreaking technology and have a meaningful impact in a crucial sector, Gather AI is the perfect fit for you. We are at the forefront of the rapidly advancing robotics field, and we invite you to join us as we reshape the global supply chain, one intelligent warehouse at a time. About the Team You will collaborate closely with systems engineers on our MHE Vision platform, engage with the MHEV team for integrated system testing and debugging, and work alongside the ML team to validate model outputs against ground truth data. You will also liaise with Customer Support and Product Management to address field-reported edge cases and quality priorities. About the Role We are seeking a dynamic Test Engineer to join our Pittsburgh team, enhancing the testing and validation framework for our MHE Vision platform. You will engage with real data and systems, analyzing large transaction datasets to derive ground truth, building and maintaining regression test infrastructure, and participating in integrated system tests within our lab environment. This is a high-impact, early-career opportunity that offers significant ownership and visibility. Your analyses will directly enhance product quality for our customers, and you will have the chance to advance into roles focused on test automation, systems engineering, or QA leadership as the company grows. What You’ll Do Manually analyze extensive transaction datasets (100+ records) to extract ground truth, detect anomalies, mismatches, and edge cases, and validate system outputs against expected behavior. Construct and manage regression test infrastructure, incorporating new edge cases identified from field deployments into the existing test suite. Engage in integrated system tests in our Pittsburgh lab alongside systems engineers, executing test procedures and documenting results. Conduct first-level root cause analysis (RCA) on test failures, clearly communicating issues to the respective engineering teams. Develop structured processes for collecting and cataloging field edge cases into repeatable test cases. Contribute to the continuous improvement of testing methodologies and practices.

About Gather AI Are you ready to revolutionize the future of supply chain management? At Gather AI, we are not merely developing software; we are at the forefront of a transformative movement in warehouse intelligence. Our innovative, vision-powered platform harnesses autonomous drones and existing equipment to capture real-time data, digitizing workflows that have traditionally been manual and prone to errors. This advancement allows facilities to operate in a smarter, safer, and more efficient manner, ultimately redefining the standards for 'on-time, in full' delivery. If you're seeking a chance to contribute to groundbreaking technology and significantly impact a critical industry, Gather AI is your destination. We are spearheading the evolution of the robotics field, and we welcome you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team This position collaborates closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product, and Operations. The role encompasses both deep technical work and collaboration with teams that are closest to our customers. As a Principal-level individual contributor, you'll play a pivotal role in shaping our technical direction — influencing decisions rather than merely executing them. About the Role We are in search of a Principal Machine Learning Scientist to elevate the capabilities of our computer vision systems for warehouse inventory scanning. You will engage in the entire ML lifecycle — from research and model architecture to training, deployment, and production monitoring — while focusing on measurable enhancements in detection, segmentation, and OCR accuracy across our drone and MHE Vision products. This role is perfect for an experienced ML practitioner eager to have a principal-level impact on a core product, engage with various deployment targets (cloud, on-prem, embedded), and work with real-world data yielding tangible business outcomes. What You’ll Do Enhance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms. Oversee the full ML lifecycle from research and experiment design through production deployment and monitoring — employing rigorous ablation studies and state-of-the-art methodologies. Collaborate with the ML infrastructure team on optimizing and deploying models across cloud and edge inference targets (ONNX, TensorRT, quantization). Partner with Operations and Product teams to grasp customer needs and translate them into measurable ML improvements with significant business impact. Provide mentorship and guidance to junior team members.

Gather AI develops a vision-based platform that uses autonomous drones and existing warehouse systems to gather real-time data. By automating manual processes, the company helps warehouses operate more safely and efficiently, supporting accurate and timely deliveries across the supply chain. Role overview The Implementation Engineer leads the rollout of Gather AI’s drone technology at customer sites in the supply chain sector. This is a Pittsburgh-based position with a strong focus on hands-on deployment and customer interaction. Main responsibilities Plan and carry out onsite visits to automate inventory management for clients using drones. Handle deployment preparation, including mapping warehouses, calibrating drones, and running tests. Document procedures and train clients on how to use the system effectively. Provide ongoing customer support, manage support tickets, and troubleshoot technical issues as they arise. Collaborate with the Development team to deliver smooth and efficient drone deployments. Coordinate implementation tasks directly or through contractors to ensure client requirements are met. Serve as the main point of contact for clients, ensuring satisfaction with Gather AI’s technology and support.

field-ai is hiring a Robotics Research Intern for Summer 2026 in Pittsburgh, PA. This internship centers on robot learning and hands-on research. Role overview Interns will join ongoing research projects in robotics. Collaboration with experienced professionals is a key part of the role, providing exposure to current advancements in the field. What you will do Contribute to research in robot learning Work alongside robotics experts on active projects Support progress in robotics through practical research tasks Location This position is based in Pittsburgh, PA.

The ML Data Services team at Motional is on the lookout for a highly skilled and driven Staff Technical Lead Manager (TLM) to spearhead the design and operation of our essential machine learning data infrastructure. This pivotal position demands a unique combination of extensive technical knowledge in machine learning systems, large-scale data processing, and a proven track record of leadership to guide both individual contributors and the technical direction of the team.The ML Data Services team plays a crucial role in delivering reliable, high-quality, and easily accessible data for all machine learning applications. As the custodians of the 'Data Engineering' phase in the ML lifecycle, they oversee the most vital component of any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and manages petabytes of data, which are integral to the success of our flagship products.