Senior Software Engineer - Machine Learning Integration

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.

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.

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.

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

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.

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.

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.

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 as the Principal Learning Scientist and lead our Efficacy Research initiatives. In this pivotal role, you will leverage your expertise in learning sciences and data analysis to evaluate and enhance the effectiveness of our educational products. You will collaborate with cross-functional teams to design studies that measure learning outcomes and provide actionable insights to drive improvements.

Technical Lead Manager, Motion Planning Join our innovative Planning team at Motional, where you will leverage your expertise in robotics and software engineering to develop production-ready autonomous vehicle technology. As the Technical Lead Manager, you will guide a dedicated team focused on designing and implementing advanced motion planning software for autonomous vehicles. This role demands strong leadership in defining motion planning and control systems that ensure the safe, efficient, and comfortable operation of our fleet in complex environments. You will spearhead the creation of cutting-edge motion planning algorithms, collaborate with cross-functional teams (including Localization, Perception, Prediction, Controls, ML Products, and Systems Engineering), and mentor a talented group of engineers to deliver state-of-the-art solutions. If you are driven by a passion for autonomous driving and enjoy tackling challenging real-world problems, we are eager to connect with you.

Mission Overview: Join Motional as a Principal Engineer Team Lead, where you will spearhead a talented team dedicated to crafting and implementing advanced trajectory planning algorithms through numerical optimization for autonomous vehicles. Your leadership will play a critical role in refining the motion planning and control systems that empower our fleet to navigate intricate environments with safety, efficiency, and comfort. As a pivotal figure in our organization, you will oversee the evolution and continual enhancement of state-of-the-art trajectory generation algorithms, engaging in collaborative efforts with diverse teams including Planning, Perception, Prediction, Localization, Machine Learning Products, and Systems Engineering. Additionally, you will mentor a skilled group of engineers, guiding them to deliver innovative and high-quality solutions. If you are enthusiastic about the future of autonomous driving, eager to contribute to our commercial launch this year, and thrive on tackling complex real-world challenges, we invite you to apply! Your Responsibilities: Lead and expand a high-impact trajectory planning team, establishing its technical vision, execution strategy, and long-term role within the Motion organization. Ensure readiness for commercial launch by enhancing on-road driving behaviors (safety, comfort, and assertiveness) across the fleet through feature expansion, ongoing performance improvement, and cutting-edge innovations. Implement a rigorous, metrics-driven framework to assess and enhance on-road performance, championing the use of existing training and evaluation pipelines for scalable, production-ready solutions. Oversee the computational efficiency and real-time performance of trajectory generation algorithms, ensuring adherence to latency budgets. Lead prompt triage and root-cause analysis of fleet incidents, translating real-world edge cases into immediate algorithmic updates and validation datasets. Manage the successful implementation of complex, multi-team projects, ensuring technical consistency from design through deployment while upholding high standards for testing and validation to meet safety benchmarks for our commercial launch. Collaborate with peer leads to provide technical direction, making impactful decisions on architectural pathways, strategic investment, tactical execution, and technical debt alleviation. Ensure technical excellence through thorough design and code reviews while fostering the professional development and mentorship of your engineering team. Set and pursue ambitious objectives that encourage the team to deliver industry-leading trajectory solutions.

Motional is on the lookout for a highly skilled Principal Engineer to join our Planning team. In this pivotal role, you will be responsible for designing motion planning and control systems that ensure safe, efficient, and comfortable operations for our fleet in intricate environments. Your expertise in cutting-edge research, advanced algorithm development, and robust software engineering will be crucial in crafting safe and intuitive routes for autonomous vehicles. If you are passionate about autonomous driving and eager to tackle real-world challenges while making a meaningful impact in a dynamic field, we would love to hear from you.Key Responsibilities:Lead the R&D of innovative algorithms and subsystems for motion planning in autonomous driving, enhancing our Operational Design Domain through advanced search-based and geometry-based methods, with a focus on probabilistic decision-making.Coordinate cross-functional projects to create or improve existing interfaces aimed at solving complex challenges.Evaluate overall system performance, identifying areas for enhancement and devising technical strategies to rectify deficiencies.Guide multidisciplinary project teams to deliver holistic solutions while considering the broader context of the planning system.Architect and integrate complex motion planning and prediction algorithms, driving their evaluation and optimization for real-world applications.Develop a robust, scalable codebase that supports rapid experimentation, prototyping, and rigorous assessment of new motion planning methodologies.Facilitate technical collaboration across perception, prediction, trajectory optimization, tracking, and control components to ensure comprehensive system performance.Utilize your extensive software development and research expertise to mentor colleagues on best practices, fostering a culture of technical excellence.Provide guidance and mentorship to both junior and senior team members, promoting an environment centered on product-focused engineering, thorough research, and advanced development.

Join our dynamic team at Jobs for Humanity as a Principal Engineer, where you will play a pivotal role in shaping innovative solutions that empower communities and enhance accessibility for all. You will collaborate with cross-functional teams to design, develop, and implement robust systems that meet the diverse needs of our users.

About Apex Companies Apex Companies is a consulting and engineering firm recognized for rapid growth and strong client relationships. With a history of record sales, project excellence awards, and strategic expansion, Apex continues to build its reputation as a leader in engineering and environmental consulting. The company invests in employee development and values an entrepreneurial approach. Role Overview: Principal Environmental Engineer This Principal Environmental Engineer position is based in Pittsburgh, PA. The role centers on building and leading a new branch office, with support from division and regional teams. The engineer will play a key part in both business development and project delivery, shaping the growth of Apex in the region. Key Responsibilities Establish, manage, and expand a new branch office, working closely with division and regional leadership. Recruit, develop, and supervise a technical team to ensure smooth office operations and successful project outcomes. Create and implement strategies to attract new clients, using existing relationships and identifying new business opportunities for design projects from start to finish. Lead project management for Site Assessments & Remediation, Emergency Response, Natural Resources, EHS compliance, Permitting, Planning, and Management or Reporting Assurance Services. Mentor junior engineers and technical staff, supporting their growth and development. Serve as the main contact for clients, contractors, and stakeholders, promoting clear communication and effective problem solving. Participate in technical organizations both within and outside the company.

Join Wabtec Corporation as a Principal Engineer in Software Systems, where your expertise will drive innovation in our engineering teams. You will be at the forefront of developing advanced software solutions that enhance our products and services.

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.

Mission Summary: Join our innovative team as a Staff/Principal Engineer specializing in Perception Capabilities. In this pivotal role, you will leverage advanced computer vision and deep learning technologies to develop state-of-the-art software solutions. Your extensive experience will encompass critical domains such as detection, classification, segmentation, and tracking, alongside essential functions like data engines, labeling policies, training pipelines, model optimization, simulation, and testing. Your commitment to excellence will drive substantial impact on our products, as you take initiative and ownership of outcomes. We are looking for someone eager to enhance the perception stack of self-driving vehicles. You will navigate unique challenges associated with safety-critical, open-world applications, ensuring rigorous engineering excellence and thorough evaluation. You will devise innovative solutions to complex issues, collaborating with interdisciplinary teams focused on capabilities to design, implement, and validate comprehensive solutions. What you’ll be doing: Lead the development and implementation of solutions that integrate perception components with downstream modules within our autonomy system. Analyze the performance of the perception subsystem, proactively identifying potential limitations regarding system-level capabilities. Document and lead cross-team efforts to resolve any identified hazards. Collaborate on innovative solutions to tackle “long tail” challenges, including synthetic data generation, advanced data mining, or utilizing language embeddings in onboard models. Depending on your expertise, you may also assist in optimizing and deploying models to vehicles, ensuring compliance with the constraints of our onboard hardware and functional requirements. Interface with systems and safety engineers, test engineers, and data analysts to ensure accurate requirements, test coverage, and performance metrics.