Senior Software Engineer - Machine Learning Integration

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.

Mission Overview:We are on the lookout for an accomplished and innovative Principal Engineer Tech Lead Manager to spearhead our new Machine Learning (ML) Acceleration team. In this key position, you will be responsible for crafting the strategy, development, and implementation of initiatives designed to significantly enhance the speed of ML model training. The ultimate objective is to substantially shorten the development cycle for new ML models and facilitate swift hot-patching for issues encountered in our autonomous vehicle services.As a hands-on leader, you will merge extensive technical knowledge in ML systems and performance enhancement with robust leadership and personnel management skills. You will have the opportunity to recruit, mentor, and cultivate a high-performing team of engineers, while promoting a culture that embraces innovation, collaboration, and ongoing improvement.Your Responsibilities:Team Leadership & Management:Assemble, lead, and manage a high-performing team of ML and infrastructure engineers focused on acceleration.Offer technical direction, mentorship, and career development pathways for team members.Encourage a collaborative and inclusive team atmosphere.Establish team objectives, priorities, and roadmaps that align with organizational goals.Technical Strategy & Execution:Articulate the technical vision and strategy for ML acceleration throughout the organization.Identify and assess cutting-edge technologies and methodologies to expedite ML training, including data pipeline optimization, large-scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.Design, develop, and deploy scalable and efficient ML acceleration solutions.Cross-functional Collaboration:Work closely with ML research, ML Training platform, and product teams to understand their requirements and seamlessly integrate acceleration solutions.Communicate intricate technical concepts and strategies to both technical and non-technical stakeholders.Serve as a technical authority and proponent for ML acceleration initiatives across the company.Impact & Measurement:Regularly assess and report on the effectiveness of acceleration initiatives.Persistently seek out further optimization and innovation opportunities.

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.

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.

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.

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

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.

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.

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 Duolingo, the world's leading language-learning platform, as we innovate and expand our offerings beyond just language education. With the introduction of new subjects such as Math and Music, alongside our acclaimed Duolingo English Test, we are redefining the learning journey.Our mission is to enhance the educational experience of our users through data-driven decision-making and inventive problem-solving. We provide impactful roles, endless opportunities for personal growth, and the chance to collaborate with some of the brightest minds in the industry. Be a part of a movement that enriches the lives of over half a billion learners!As a Senior Product Manager within our Learning Pillar, you will spearhead the development of engaging and effective learning products, catering to language learners at all levels. You will play a crucial role in the evolution of our learning tools, which include innovative features like Stories, DuoRadio, Adventures, and Video Call. Collaborating with cross-functional teams, you will create joyful learning experiences, influence our learning strategy, and ultimately impact millions of learners worldwide.

Who We AreAurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.The Aurora Driver will create a new era in mobility and logistics, bringing a safer, more efficient, and accessible future for everyone.At Aurora, you will tackle complex challenges alongside passionate and intelligent individuals, enhancing your expertise while expanding your knowledge. For the latest news, visit aurora.tech or follow us on LinkedIn.Aurora seeks talented individuals from diverse backgrounds to help create a transportation ecosystem that enhances road safety, ensures timely delivery of essential goods, and improves mobility for everyone. We are in search of a Staff Technical Product Operations Manager who will significantly contribute to maximizing the potential of Aurora’s Mapping operations and technology for self-driving. In this role, you will leverage your strategic, operational, and product expertise to foster alignment across the organization, refine operational processes, and expedite product development.As a Staff Technical Product Operations Manager, you will collaborate closely with Engineering, Mapping Operations, Systems Safety, and Product Program Management to translate business objectives into actionable plans. This high-impact position requires a combination of strong product management instincts and operational discipline to design scalable systems for our Mapping organization. You will play a crucial role in developing and enhancing the operational framework that governs the scaling of our Mapping products and processes, including HD map expansion, updates, change detection, validation, and release readiness.

Join our dynamic team at eproinc as a Technical Lead specializing in IBM Websphere Message Broker. In this pivotal role, you will oversee the design and implementation of messaging solutions that enhance communication between various applications. Your expertise will guide our development team in adopting best practices and innovative approaches to ensure robust and scalable message-driven architectures.

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.

Join our dynamic team as a Technical Support Specialist, where you will play a pivotal role in addressing customer issues and monitoring website events with an intuitive and problem-solving approach. This position involves ensuring the availability of our 24/7 applications and responding to alerts by either resolving issues directly or escalating them to the appropriate teams in real time. You will need to demonstrate expertise in supporting both mobile devices and desktop/laptop environments.We are currently seeking to hire one full-time employee for our 3rd shift, which includes being on-call one weekend per month and accruing paid time off (PTO). This role is perfect for a tech-savvy individual who can foresee potential challenges and seeks a career path that is both rewarding and challenging.As part of a large team responsible for architecting, building, testing, and supporting our website, you may also assist in various related initiatives. Experience with the Pennsylvania state government or other governmental bodies is advantageous. This position is associated with a long-term contract offering excellent opportunities for career advancement.This is a remote work opportunity. Candidates must be reliable and capable of working independently without direct supervision. U.S. residency is required.Laptop and communication tools will be provided.

Join our dynamic team as a Technical Support Specialist, where you'll engage with website events and address customer inquiries in a proactive and effective manner. In this role, you will monitor the functionality of our 24/7 applications, swiftly responding to alerts by resolving issues or escalating them as necessary. Your expertise will be essential in supporting both mobile devices and desktop systems.This full-time position is for our 3rd shift, with on-call duties for one weekend per month, allowing for accrued paid time off. We seek a tech-savvy professional who can foresee potential challenges and desires a stimulating career path.As part of a large team dedicated to the architecture, development, testing, and support of our site, you will have opportunities to contribute to various initiatives. Experience with state government or other governmental organizations is advantageous. This role is connected to a long-term contract that provides exceptional career advancement prospects.This position is fully remote, and candidates must demonstrate reliability and the ability to work independently without direct supervision. Applicants must reside in the United States.We offer the necessary tools, including a laptop and communication devices, to support your success.

Join Alo Yoga as a Sales & Service Lead at our Ross Park Mall location! We are looking for a dynamic and passionate individual who thrives in a fast-paced retail environment. As a Sales & Service Lead, you will be responsible for driving sales, ensuring exceptional customer service, and leading a team of associates to achieve our company goals.Key Responsibilities:Lead by example in delivering outstanding customer service and fostering an inclusive and welcoming environment for all.Drive sales through effective merchandising and product knowledge.Train, mentor, and develop team members to enhance their skills and performance.Maintain store standards and ensure compliance with company policies.

Join our dynamic team as a Technical Support Specialist where you'll play a vital role in enhancing our customer experience. This position involves engaging with website events and addressing customer issues with an intuitive and analytical approach.Your primary responsibilities will include monitoring the availability of our applications around the clock, promptly responding to alerts, and either resolving issues or escalating them to the appropriate team members in real time. A strong understanding of mobile devices, desktops, and laptops is essential.This is a full-time role on our 3rd shift, requiring on-call availability for one weekend each month, with accrued paid time off (PTO). We seek a tech-savvy individual who is proactive in identifying potential issues and is eager for a challenging career opportunity.As part of a large team focused on architecting, building, testing, and supporting our website, you may also assist in these efforts. Experience with PA state government or other governmental operations is a plus. This role is linked to a long-term contract that offers excellent opportunities for professional growth.This position allows you to work from home. Reliability and the ability to work independently without direct supervision are crucial. Candidates must reside in the United States.All necessary equipment, including a laptop and communication tools, will be provided.

Motional is seeking a Staff Front End Engineer to join the Web Visualization Tooling team in Pittsburgh, Pennsylvania. This team builds and improves web-based tools and visualization systems that help machine learning engineers and directly support the performance and adaptability of Motional's autonomous vehicles. The work shapes feedback loops and strengthens the AV systems' responsiveness to real-world data. Key Responsibilities Define and uphold web development standards and best practices across teams. Coordinate with several groups to keep projects on track and delivered as planned. Design and scale a modern frontend ecosystem using React, TypeScript, and Vue. Work closely with teams in ML, frontend, UX, data services, data mining, and data annotation to ensure tools fit real workflows. Develop and maintain UI systems that are essential for internal stakeholders. Create user experiences that make complex, data-heavy applications approachable and intuitive. Focus on performance, scalability, and maintainability in all frontend projects. Iterate quickly and deliver results in a product-oriented setting. Requirements Strong drive to design and build user-facing visual applications with a focus on excellent UX. Extensive experience with React, TypeScript, and modern frontend architecture. Comfort with Vue. Solid understanding of product principles, especially around UX and usability. Ability to work independently and take full ownership of projects. Proven ability to drive development with minimal supervision, along with strong learning and organizational skills. Excellent interpersonal skills, including mentoring and delegating to engineers at different levels. Dedication to thorough technical design and documentation. Comfort working directly with customers to identify needs and deliver solutions. Bonus Experience Project management skills, especially with agile practices and operational excellence. Interest in delivering value continuously. Experience with backend technologies such as Node or Python. Background in game development or 3D visualization. Work Arrangement This position supports a hybrid schedule, combining remote flexibility with opportunities for in-office collaboration in Pittsburgh.