Senior Software Engineer - Perception Machine Learning Data

About the RoleJoin our dynamic team of experts where machine learning and systems engineering intersect to enhance the performance of autonomous systems. As a Senior Software Engineer specializing in Perception Machine Learning Data, you will play a crucial role in integrating machine learning advancements with autonomy infrastructure, ensuring that our mode…

Who We Are Nuro is at the forefront of self-driving technology, dedicated to making autonomy accessible to everyone. Established in 2016, we are developing the world’s most scalable driver by integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed for a diverse array of applications, from robotaxis to commercial fleets and personal vehicles. With years of proven technology through successful self-driving deployments, Nuro provides automakers and mobility platforms with a clear path to commercial-scale autonomous vehicles, paving the way for a safer, richer, and more connected future. About the Team Our robotics team is expanding, and we are seeking a Machine Learning Software Engineer to join our Online Mapping team. We are looking for an engineer with a strong background in robotics and machine learning to tackle the complex challenges associated with designing and implementing onboard mapping models, managing data and labels, and developing training pipelines. About the Role In this role, you will be tasked with building robust machine learning and mapping systems that can operate in unpredictable environments using real data from cameras, LiDAR, and other sources. Your passion for advancing robot navigation for logistics and transportation will drive our mission forward. About the Work Research, develop, and implement cutting-edge online mapping models and algorithms. Evaluate and analyze the performance of our online mapping system, identifying improvement opportunities in architecture, data, and end-to-end ML systems. Collaborate cross-functionally with other ML teams to ensure our models are integrated into centralized architectures. Engage with stakeholders across autonomy, infrastructure, and systems teams to address online mapping needs and requirements.

The Role Join Moveworks as a Senior Machine Learning Engineer II, where you will play a pivotal role in enhancing our Natural Language Understanding (NLU) and Agentic AI capabilities. Your expertise in software engineering and machine learning will help create seamless user experiences and optimize our generative and conversational AI platform. As part of the NLU team, you will leverage cutting-edge tools in Natural Language Processing (NLP) and Natural Language Generation (NLG), including advanced Large Language Models (LLMs), multimodal foundation models, and hybrid vector databases. You'll have all the necessary infrastructure at your fingertips to fine-tune, evaluate, and deploy your models into production. Our data-centric approach is supported by a world-class annotation team that ensures the creation of high-quality, privacy-conscious datasets for model training and evaluation. Your mission will extend beyond mere model training; you will strive for exceptional AI performance across all metrics, including accuracy, latency, reliability, and the overall functionality of user-facing systems. Our ideal candidates are driven not only by the desire to develop high-performing models but also by the ambition to design and enhance comprehensive AI systems and their components. We are focused on accelerating our operations, tackling complex engineering challenges, and maximizing the value we deliver to our customers. Your contributions will be crucial in achieving our objectives of resolving enterprise issues and establishing the most dependable AI co-pilot ever seen, in collaboration with various teams at Moveworks.

About Us Nuro is a pioneering self-driving technology company dedicated to making autonomous solutions accessible to everyone. Established in 2016, we are developing the most scalable autonomous driver by integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate a variety of applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to achieving commercial-scale autonomous vehicles, promoting a safer, more connected future. Role Overview At Nuro, we adopt a machine-learning-first strategy in our approach to autonomous driving technology. The performance of our systems is significantly influenced by the quality and diversity of training and evaluation data. Your team will be pivotal in enhancing our autonomous driving systems by establishing a robust and scalable data infrastructure. This infrastructure will generate training and evaluation data from both real-world driving logs and simulated environments. Collaborating closely with system engineers, you will ensure thorough validation of the autonomous driving system prior to deployment. Key Responsibilities Design and implement cohesive, introspectable data pipelines capable of processing large-scale batch and streaming data across diverse evaluation use cases. Develop a storage solution that efficiently manages extensive volumes and a wide variety of performance metrics. Create user-friendly dashboards and reports to display evaluation results, enabling easy comparisons to highlight improvements and regressions in ML components and the overall system. Establish and maintain continuous testing and monitoring systems to ensure the integrity and robustness of our data and data pipelines. Build data mining tools utilizing applied ML techniques to meet data discovery requirements in areas such as Perception, Behavior, and Mapping. Develop data annotation tools to aid both first-party and third-party labeling efforts, ensuring high-fidelity perception, mapping, and trajectory labels. Scale data annotation labels with cutting-edge ML techniques. Qualifications A degree in Computer Science, Engineering, or a related field (BS, MS, or PhD) combined with at least 4 years of relevant professional experience. Strong programming skills in Python or similar languages. Experience in data engineering, machine learning, or related fields. Familiarity with data pipeline tools and frameworks. Ability to work collaboratively in a fast-paced, innovative environment.

Join our dynamic team at Moveworks as a Senior Staff Machine Learning Engineer. In this pivotal role, you will leverage your expertise in machine learning and artificial intelligence to develop and enhance agentic systems that transform the way organizations interact with their customers. You will work alongside a talented group of engineers and data scientists to create innovative solutions that improve user experiences.

About Us Nuro is a pioneering self-driving technology firm focused on democratizing autonomy for everyone. Established in 2016, we are on a mission to create the world's most scalable autonomous driver. Our innovative approach blends advanced AI with automotive-grade hardware, allowing us to license our core technology, the Nuro Driver™, across diverse applications including robotaxis, commercial fleets, and personal vehicles. Our proven technology, tested through numerous self-driving deployments, provides automakers and mobility platforms with a clear path to commercial-scale autonomous vehicles, fostering a safer, more connected future. Position OverviewWe are excited to expand our robotics team and are seeking a talented Senior Software Engineer to join our Sensor Data and Calibration unit. The ideal candidate will possess a strong background in robotics and machine learning, with a focus on developing sophisticated synthetic sensor simulation models and algorithms. Experience in research, development, and application of machine learning techniques (such as NeRF or Gaussian splatting) for generating synthetic sensor data, including photorealistic images and realistic LiDAR or radar outputs, is essential. Key Responsibilities Research and create cutting-edge synthetic sensor simulation methodologies. Evaluate and characterize the realism and effectiveness of synthetic sensor data. Address essential inquiries regarding sensor data and autonomous performance. Collaborate with various teams across autonomy, infrastructure, and systems to define mapping requirements. Qualifications One of the following: PhD in machine learning, computer science, electrical engineering, robotics, or a related field, with 3+ years of industry experience. Master's degree with 4+ years of industry experience. 5+ years of industry experience. In-depth knowledge of machine learning fundamentals with practical experience in training and assessing contemporary ML models. Proficient in Python, with experience in deep learning frameworks such as PyTorch, TensorFlow, or JAX. Preferred Qualifications Strong grasp of 3D geometry and state estimation principles. Experience in systems-level coding. Familiarity with simulating and modeling real sensors (camera, LiDAR, radar, IMU, etc.), including noise modeling. Expertise in modern ML graphics techniques, such as NeRF, Gaussian Splatting, and/or generative models.

Join Moveworks as a Staff Machine Learning Engineer in the Agentic Systems team, where you will play a pivotal role in developing cutting-edge AI solutions to enhance user experiences. Your expertise will contribute to building intelligent systems that leverage machine learning to drive efficiency and innovation.As a key member of our engineering team, you will collaborate with cross-functional teams to design, implement, and optimize machine learning algorithms that solve real-world problems. You will have the opportunity to work on exciting projects that push the boundaries of what’s possible with AI.

Moveworks is looking for a Senior Machine Learning Engineer to join the Search Platform team in Mountain View. This role centers on making it easier for users to find information by building and refining machine learning models that drive the search experience. Main responsibilities Design and enhance machine learning models that support the search platform Partner with engineering, product, and design teams to ensure technical solutions match business goals Use advanced ML methods to improve the accuracy and relevance of search results Contribute to a better user experience by making information more accessible Collaboration This position requires regular coordination with colleagues from various functions. The goal is to deliver a search platform that meets both technical standards and user expectations.

What You'll Be DoingJoin Moveworks as a Senior Machine Learning Engineer focused on developing advanced ML infrastructure for deploying and managing Large Language Models (LLMs). This pivotal role involves the design, optimization, and scaling of comprehensive machine learning systems that drive our AI solutions. The ML Infrastructure team is responsible for a range of critical functions, including distributed training and inference pipelines, model evaluation, and latency optimization for LLMs. Our work supports numerous ML and NLP models currently in production, impacting millions of enterprise users. You will tackle real-world challenges related to service scalability and algorithm optimization.Your collaboration with our machine learning team, data infrastructure team, and various cross-functional experts will directly enhance our customers' AI experience. This is an opportunity to play a vital role in the long-term scalability of our core AI product and the success of the company. If you seek a high-impact, fast-paced environment to elevate your career, we want to hear from you!Design, develop, and enhance scalable machine learning infrastructure for training, evaluating, and deploying LLMs.Create abstractions to automate diverse steps in various ML workflows.Collaborate with interdisciplinary teams of engineers, data analysts, machine learning specialists, and product managers to introduce innovative features.Utilize your expertise to promote best practices in machine learning and data engineering.

Join Coupang as a Senior Staff Machine Learning Engineer in our AI Foundations team, where you will be at the forefront of developing innovative machine learning solutions that enhance customer experiences. This role involves designing, implementing, and optimizing algorithms and models that drive intelligent decision-making and automation within our platforms.

The OpportunityJoin our innovative AI team at Otter.ai, driving the future of AI technology to enhance the value derived from meetings and conversations. As a Machine Learning Engineer, you will collaborate with seasoned scientists and engineers to develop and deploy machine learning systems that transform groundbreaking research into production-ready features for our summarization and conversational intelligence offerings.Your ImpactArchitect, build, and evolve large-scale SID / ASR / NLP / LLM systems that are central to our mission-critical product experiences, impacting millions of conversations.Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, balancing quality, latency, cost, and reliability.Design and improve model architectures, loss functions, decoding strategies, and training techniques for speech and language models, guided by both research and production constraints.Own end-to-end ML system lifecycles from research prototyping through to production deployment, monitoring, iteration, and long-term maintenance.Collaborate closely with product and infrastructure teams to convert cutting-edge research into scalable, production-grade systems that yield measurable user and business impacts.Drive system-level enhancements in model performance, robustness, observability, and operational excellence using real-world conversational data at scale.Establish technical direction and best practices for ML infrastructure, data pipelines, evaluation frameworks, and deployment workflows in a cloud environment.Tackle complex, ambiguous challenges in model behavior, data quality, scaling, and system interactions, often preemptively addressing issues before they impact users.Mentor and elevate fellow engineers, shaping team standards, reviewing designs, and fostering a culture of sound technical decision-making and execution.

At Coupang, our mission is to impress our customers. We thrive when we hear our customers ask, “How did we ever live without Coupang?” Our obsession with simplifying shopping, dining, and living has led us to revolutionize the multi-billion dollar e-commerce industry from the ground up. As one of the fastest-growing e-commerce companies, we have established a remarkable reputation as a dominant and trustworthy player in South Korean commerce. We proudly embody the best of both worlds—a startup culture enriched with the resources of a large global public company. This unique blend empowers us to continue our rapid growth and launch new services at a remarkable pace. We are all entrepreneurs, constantly surrounded by opportunities to drive innovative initiatives. At Coupang, you will witness your own growth, along with that of your colleagues, your team, and the company. Our commitment to building the future of commerce is genuine. We continuously push the boundaries of possibility to solve challenges and redefine traditional trade-offs. Join Coupang today to create an extraordinary experience in this fast-paced, high-tech, and hyper-connected world. Role Overview As a Staff Machine Learning Engineer within Coupang Media Group, specifically focusing on Ads Quality, you will take charge of designing, developing, and optimizing machine learning models, algorithms, and new product features for our advertising platform. The Coupang Media Group (CMG) provides a range of marketing products and services to vendors selling their products on Coupang. Since launching our Product Ads performance advertising marketplace in late 2018, we have quickly grown to over 10,000 active advertisers and generate 150 million daily ad impressions within just five months. Our team is responsible for promoting brands and products on our e-commerce platform. To give you a sense of its value, both Alibaba and Amazon earn more revenue from advertising than from product sales. This opportunity allows you to be part of a burgeoning development organization with immense revenue potential within a successful company. We are establishing full-stack engineering teams to tackle large-scale advertising challenges, including real-time behavioral targeting, auctioning and bidding systems, and search-based advertising. As we transition from growth to enterprise processes, you will play a pivotal role in shaping the future of our organization. In this role, you will be responsible for innovating and building our new ad quality stack for our advertising platform and will eventually extend it into other areas.

About EarnInEarnIn is a trailblazer in the earned wage access space, dedicated to empowering individuals with financial flexibility tailored for those living paycheck to paycheck. Our community members can access their earnings in real time, enabling them to spend, save, and enhance their financial well-being without burdensome fees, interest rates, or credit checks.With a robust leadership team and esteemed funding partners such as A16Z, Matrix Partners, DST, and Ribbit Capital, we are positioned for rapid growth and are eager to attract top-notch talent to shape our future.Position SummaryAt EarnIn, machine learning (ML) is pivotal to our growth strategy. We harness advanced ML models to inform business decisions and enhance customer experiences. Your role will involve developing and implementing cutting-edge ML systems that leverage our data capabilities. You'll be tasked with thorough formulations, rigorous experimentation, and transforming ML models into efficient production-ready code, while also focusing on robustness monitoring and system logging/alarming.We are inviting enthusiastic students and recent graduates with a solid foundation in machine learning, deep learning, language models, generative AI, programming, and data analysis to join our 12-week Machine Learning Internship Program. You will engage in real-world projects, collaborate with industry experts, gain invaluable insights into the fintech sector, and contribute to meaningful business and social outcomes. This position requires hybrid work from our Mountain View office, with 2 days per week on-site. Compensation for this internship is set at $40 per hour, with a commitment of 40 hours per week for the duration of the program.What You'll DoTrain and optimize large-scale Foundation Models for diverse fintech applications.Work with extensive datasets, encompassing both structured and unstructured data.Contribute to enhancements of our existing ML systems through model, data, or experimental upgrades.Acquire hands-on experience with a variety of technologies, including PyTorch, AWS, Kafka, Databricks, and more.

About Moveworks At Moveworks, our mission is to transform language into the universal user interface. We empower enterprises with a conversational interface that seamlessly integrates with all systems—from Microsoft to Workday to Salesforce. Utilizing advanced GPT-class machine learning models, our platform adapts to the unique language of each organization, effectively addressing thousands of use cases. Esteemed brands such as Databricks, Broadcom, DocuSign, and Palo Alto Networks rely on Moveworks’ proprietary enterprise data, ready-to-use solutions, and user-friendly developer tools to implement conversational automation across their businesses. Founded in 2016 and backed by leading investors including Kleiner Perkins and Lightspeed, Moveworks has raised $315 million in funding and reached a valuation of $2.1 billion. We are proud to be recognized as a part of the Forbes AI 50 list for five consecutive years and to have received accolades such as the 2023 Edison Awards for AI Optimized Productivity and the Best Bot Solution at the 2022 AI Breakthrough Awards. With over 500 employees across six global offices, we invite you to be a part of one of the most innovative teams in the industry! Your Role As the Senior Engineering Manager for our core infrastructure team, you will spearhead the development of the Moveworks AI infrastructure. As our company grows rapidly, your leadership will be crucial in designing and operating highly reliable and resilient foundational services and frameworks that enable seamless scalability and swift feature development for our engineering teams. You will collaborate closely with teams in machine learning, search, product management, data, and full-stack engineering to identify, define, and implement elegant solutions to complex product and engineering challenges. This is an exceptional opportunity to play a pivotal role at the fastest-growing AI startup in its sector. Lead the evolution of Moveworks infrastructure architecture and foundational services with a focus on high reliability, scalability, performance, and security. Collaborate with machine learning, search, product, data, and frontend teams to understand their infrastructure needs, influence the infrastructure roadmap, and oversee the execution of various projects. Architect and enhance the core infrastructure and foundational services to support our rapid growth and customer needs.

At Waymo, we are pioneering the future of autonomous driving technology with a mission to become the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus is on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent the tragic loss of lives due to traffic accidents. The Waymo Driver not only powers our fully autonomous ride-hailing service but is also adaptable to various vehicle platforms and use cases. With over ten million trips completed and more than 100 million miles driven autonomously on public roads, we are setting the standard in the industry.The Simulator Team at Waymo is dedicated to creating advanced simulations that replicate realistic environments for the testing, training, and validation of the Waymo Driver. Our diverse and collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers develop cutting-edge simulation solutions that utilize sophisticated generative and reconstructive ML algorithms. These simulations model real-world scenarios, including realistic agents, roads, traffic systems, weather conditions, and an extensive sensor suite (Camera, Lidar, Radar).In this position, you will play a crucial role in enhancing the fidelity, scalability, and richness of our simulations. By leveraging state-of-the-art ML technologies and large-scale datasets, you will help create dynamic virtual worlds that directly influence the development and validation of the Waymo Driver.In this role, you will report to a Senior Staff Engineering Manager.

About the RoleMoveworks is seeking experienced Senior and Staff Engineers to enhance our Generative AI Search Platform. Join our dedicated team as we innovate on search-based question answering systems by integrating traditional machine learning methods with the latest advancements in generative AI technologies. Our goal is to construct conversational search systems that deliver immediate responses to enterprise user inquiries.As part of the Search Platform team, you will lead efforts to refine our search capabilities, collaborating closely with ranking, product, design, infrastructure, and data science teams. Together, we aim to elevate our agentic search products to new heights of performance and enterprise readiness.At Moveworks, we value a fast-paced, problem-solving culture that prioritizes providing exceptional value to our customers. Your role will involve working with diverse teams to identify, define, and implement elegant solutions that meet user needs.Design robust abstractions to empower ranking and product teams to effectively contribute to the codebase.Develop algorithmic frameworks for various conversational search applications, including multi-turn, multi-hop question answering systems.Lead the evolution of our search platform by integrating new LLM-enabled generative AI features, ensuring scalability, quality, security, and privacy.Create systematic evaluation metrics and methodologies for our search models, utilizing LLMs to solve unique enterprise challenges.As a technical leader, foster a high-performing, inclusive team environment while mentoring engineers at various levels.Contribute to our hiring processes and help grow our engineering team.

About Waymo Waymo develops autonomous driving technology with the goal of making transportation safer and more accessible. Originally launched in 2009 as the Google Self-Driving Car Project, Waymo has logged over 100 million autonomous miles and completed more than ten million rider-only trips. The company focuses on building the Waymo Driver to support safe, efficient travel across a range of vehicle platforms. Team Overview: Prediction & Planning - System Architecture The Predictive Planning (PrePlan) team builds machine learning systems that help the Waymo Driver anticipate possible scenarios and plan actions accordingly. By transforming large-scale driving data into robust deep neural networks, the team enables vehicles to navigate complex, real-world environments with confidence. The system architecture group ensures these models work smoothly within Waymo's technology stack. This includes attention to kinematics, interfaces, and data representations. The team works across projects involving data pipelines, model integration, evaluation metrics, and the planner systems that guide autonomous vehicles. Role Details Title: Staff Machine Learning Engineer, Prediction & Planning - System Architecture Location: Mountain View, CA; San Francisco, CA; New York City, NY (hybrid) Reports to: Technical Lead Manager

At Waymo, we are pioneering the future of autonomous driving technology with an unwavering commitment to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has always been on engineering the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and drastically reduce traffic-related fatalities. The Waymo Driver currently powers our fully autonomous ride-hail service, having completed over ten million rider-only trips and covering more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.This role in Software Engineering is crucial as we develop the intelligent systems that allow the Waymo Driver to navigate complex environments, make sound decisions, and ensure safe transportation for our users. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a dedicated software engineer or researcher with a passion for Level 4 autonomous driving, we are eager to meet you.In this hybrid role, you will report directly to a Technical Lead Manager.

Waymo is a pioneering autonomous driving technology firm dedicated to becoming the world’s most reliable driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has committed itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while aiming to save thousands of lives lost in traffic accidents. The Waymo Driver underpins Waymo’s fully autonomous ride-hailing services and can be adapted across various vehicle platforms and applications. With more than ten million rider-only trips completed, it has driven over 100 million miles on public roads and tens of billions of miles in simulations across 15+ U.S. states.In this hybrid role, you will work closely under the guidance of a Technical Lead in Planner Technology.Your Responsibilities:Analyze driving behavior issues from logs to identify underlying causes.Enhance the performance of cutting-edge machine learning models in the Planner.Build foundational frameworks to further the capabilities of the Waymo Driver.Broaden the influence of machine learning models while maintaining interpretability and behavioral assurances.Contribute to solving some of the most complex driving scenarios.

About NewsBreakFounded in 2015, NewsBreak is at the forefront of the Content Intelligence platform, revolutionizing the future of the content economy. With over 40 million monthly active users, our flagship platform offers highly personalized local news and information, driven by cutting-edge AI, advanced recommendation systems, and innovative adtech.Honored by Fast Company as #32 on the Top Workplaces for Innovators, we are proud to be Great Place to Work® certified and foster a dynamic team of technologists, product innovators, and business leaders dedicated to tackling meaningful challenges at scale.Having achieved unicorn status in 2021, we are committed to sustaining our high-growth trajectory with a skilled team poised to build the infrastructure layer for content intelligence.If you’re passionate about dreaming big, innovating rapidly, and making a significant impact, we want to hear from you! For more details, visit www.newsbreak.com/aboutAbout the RoleWe seek a Senior Machine Learning Engineer to enhance our large-scale recommendation systems and implement AI/LLM technologies to solve real-world production challenges. You'll engage with our core feed, retrieval, and ranking systems that serve tens of millions of users, while also contributing to AI-driven innovation projects that seek new avenues for improving content discovery, personalization, and developer productivity. This position is perfect for engineers who relish strong individual ownership, hands-on development, and turning concepts into robust systems.What You’ll Work OnLarge-Scale Recommendation SystemsDesign, develop, and refine high-throughput, low-latency recommendation systems that drive NewsBreak’s core feeds.Enhance retrieval, ranking, and multi-objective optimization to strike a balance between engagement, retention, content quality, and business metrics.Oversee systems from offline training to online inference, A/B experimentation, and metric analysis.