Machine Learning Engineer at Aquabyte | Pittsburgh, PA

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.

Aquabyte is on the lookout for a Computer Vision Engineer to join our team in developing and deploying innovative algorithms for fish farms globally. You will play a key role in designing and implementing software and machine learning models for both our on-camera and cloud-based platforms.About UsAt Aquabyte, we are committed to transforming aquaculture through sustainability and efficiency. Our mission is ambitious yet fulfilling: to enhance fish farming practices, ensuring health for both fish and the environment while reducing carbon footprints. As the fastest-growing food production sector, aquaculture is pivotal to our future, and we strive to harness technology to protect our oceans for future generations.We foster a diverse and mission-driven team passionate about innovation and collaboration. If our vision resonates with you, we would love to hear from you!Our ProductWe are dedicated to assisting salmon farmers in better understanding their fish populations and making eco-friendly decisions. Utilizing custom underwater cameras, computer vision technology, and machine learning, we quantify fish weights, assess health statuses, and generate optimal feeding strategies in real-time. Our comprehensive product encompasses on-site hardware for image capture, cloud data processing pipelines, and a user-friendly web application, presenting numerous exciting challenges across the tech stack.At Aquabyte, customer satisfaction drives our product development. We prioritize the needs of fish farmers and are committed to building a global, collaborative team.The RoleAs a Computer Vision Engineer, you will design and develop the computer vision software pipelines that enhance the intelligence and efficiency of our camera systems. You will be part of the AI team, creating image and video inference pipelines to analyze the weight, health, and behavior of both individual fish and entire populations. Collaborating closely with experienced engineers, you will have the opportunity to contribute to groundbreaking work in the industry.

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.

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 systems can withstand adversarial challenges.Utilize your expertise in cutting-edge deep learning architectures and distributed systems to tackle complex problems and advance our methodologies for monitoring and analyzing machine learning models in production environments. Collaborate with a dynamic team of professionals dedicated to making a difference in AI security.Be part of a growing company at the forefront of AI safety, where your contributions will shape the future of secure AI systems!

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.

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 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.

About UsAt Aurora Innovation, our mission is to safely and swiftly bring the advantages of self-driving technology to everyone. Our groundbreaking Aurora Driver is set to revolutionize the future of mobility and logistics, ensuring a safer and more efficient world for all.Join us at Aurora to solve complex problems while collaborating with passionate and intelligent colleagues. As we continue to innovate, you will grow as an expert and expand your knowledge. For the latest updates, visit aurora.tech or follow us on LinkedIn.We are seeking a Software Engineer to join our Machine Learning Data Engine: Labels Platform team. This team is responsible for production services that support high-volume data labeling operations. You will contribute to the development of data models and service interfaces that cater to various autonomy data consumers. The performance of our autonomous systems relies heavily on the quality, selection, and volume of data, and your work will be critical to our mission. You will have opportunities to engage in projects that are vital to our operations and help develop innovative ML Ops solutions. Aurora's unique position in the industry stems from our comprehensive toolchain for data collection, labeling, model training, and evaluation.Key Responsibilities:Implement production best practices to ensure the reliability of our platform.Develop features for new labeling applications.Collaborate with cross-functional teams (product, program, operations, data science) to drive projects from inception to completion.Utilize ML Ops best practices to design processes that enhance data coverage and quality.

Join Waabi as a Mechanical Engineer, where you will be at the forefront of innovation in autonomous vehicle technology. In this role, you will collaborate with a dynamic team to design, develop, and optimize mechanical systems that drive our cutting-edge products.

Who We AreAurora Innovation is dedicated to transforming transportation through safe, rapid, and widespread self-driving technology.The Aurora Driver will usher in a new era of mobility and logistics, contributing to a safer, more efficient, and accessible future for all.At Aurora, you will face complex challenges alongside a team of passionate and intelligent individuals, allowing you to grow as an expert while expanding your knowledge base. For the latest updates from Aurora, visit aurora.tech or follow us on LinkedIn.Aurora seeks talented individuals from diverse backgrounds who are eager to contribute to a transportation ecosystem aimed at enhancing road safety, ensuring timely delivery of essential goods, and improving mobility for everyone.As a Manufacturing Engineer II within the Hardware Operations team, you will spearhead the integration of our autonomous vehicle technology at a contract upfitter during a crucial phase of rapid production scaling. This multidisciplinary role demands a self-reliant professional capable of merging mechanical and electromechanical systems within a high-volume manufacturing setting. You will act as a key technical liaison, coordinating with Technical Program Management, Supply Chain, Quality Assurance, and Production teams—both internally and externally—to guarantee that the design intent is comprehended and executed operationally at scale.This role is based on-site in Pittsburgh with up to 50% regional travel to the Detroit Metro area. Standard working days are Monday to Friday, with occasional weekend work as necessary depending on business conditions.

Join our dynamic team as a Senior Electrical Engineer based in Pittsburgh, PA, where you will spearhead the design and enhancement of electrical systems that drive our vital infrastructure, including pipelines, compressor stations, and storage facilities. Utilizing your extensive technical knowledge, you will integrate cutting-edge technologies such as automation, real-time monitoring, and energy storage solutions to optimize performance and reduce operational costs.Your role will be pivotal in ensuring safety by implementing effective measures like arc flash mitigation and fault detection systems, adhering to the highest regulatory and environmental standards. You will oversee complex engineering projects from concept through to execution, ensuring alignment with business objectives and timelines. This high-impact position will leverage your leadership and problem-solving abilities, directly contributing to our operational reliability, safety, and strategic growth.With our Core Values guiding your work, you will face challenges that offer opportunities for rapid learning and professional growth.

Join Duolingo as a Platform Engineer II, where you will be integral in building robust solutions that enhance our user experience. You will collaborate with cross-functional teams to develop and maintain our platform infrastructure, ensuring it is scalable and efficient.

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.

Join Our Team: At Wade Trim, we are dedicated to fostering a collaborative and innovative work environment. We are currently seeking a skilled Natural Gas Engineer to enhance our infrastructure efforts at our Pittsburgh office. This role offers a chance to work on impactful projects while being part of a supportive team. What We Provide: We offer a competitive salary and a comprehensive benefits package that includes medical, dental, and vision insurance, life insurance, short and long-term disability coverage, education reimbursement, a 401(k) plan, performance bonuses, and an employee stock ownership program. Our Employee Resource Groups and Programs include the Young Professionals Group, Women at Wade Trim, Diversity, Equity and Inclusion initiatives, Professional Development, Leadership Development, Rotation Programs, Mentorship Opportunities, Sustainability Programs, and Wellness Activities.

Join Waabi as a Manufacturing Engineer focusing on New Product Introduction (NPI). In this role, you will be instrumental in designing, developing, and implementing manufacturing processes for innovative technologies. Your expertise will help streamline production and enhance product quality, ensuring that we deliver cutting-edge solutions to our clients.

Join Waabi, a cutting-edge organization founded by AI innovator Raquel Urtasun, leading the way in Physical AI technology. Our expert team is pioneering the future of autonomous transportation, powering commercial autonomous trucks and robotaxis. Backed by esteemed partners in AI, automotive, logistics, and deep tech, we are at the forefront of innovation.With rapidly expanding offices in Toronto, San Francisco, Dallas, and Pittsburgh, we are seeking diverse, innovative, and collaborative candidates eager to make a positive global impact. For more insights, visit: www.waabi.aiYour Role:- Collaborate within a dynamic team of engineers and research scientists employing an AI-centric approach to facilitate safe, large-scale self-driving solutions.- Spearhead the design and development of automotive-grade electrical distribution systems, encompassing wire harnesses, connectors, load analysis, pinouts, and vehicle networking.- Craft intricate 3D CAD assemblies that integrate both commercial off-the-shelf (COTS) and proprietary hardware across varying vehicle zones.- Customize integration strategies for a range of vehicle platforms, from passenger cars to heavy-duty trucks, while meeting specific technical criteria.- Produce production-ready 2D and 3D CAD packages, implementing GD&T and detailed specifications to ensure precision in fabrication, including development and maintenance of device transmittals.- Leverage extensive knowledge in injection molding, machining, sheet metal, and casting to enhance part design for manufacturability.- Oversee technical execution from initial prototyping to final vehicle launch, collaborating with build technicians to validate hardware functionality.- Diagnose and resolve complex electromechanical interface challenges between proprietary technology and OEM platforms through rigorous analysis.- Manage comprehensive subsystem details, including bills of materials (BOMs) and mass roll-ups, ensuring compliance with safety and regulatory standards.

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.