Machine Learning Engineer in Prediction & Planning

About Us Gatik is at the forefront of transforming B2B supply chain logistics with our innovative autonomous transportation-as-a-service (ATaaS) solution. We are committed to ensuring safe and reliable deliveries while enhancing freight movement efficiency by mitigating congestion. Notably, in 2021, we launched the world’s first fully driverless commercial transportation service in collaboration with Walmart. Our Class 3-7 autonomous trucks are operational in key markets such as Texas, Arkansas, and Ontario, Canada, driving significant advancements in freight transportation. Our proprietary Level 4 autonomous technology, Gatik Carrier™, is expertly designed to facilitate the safe and efficient transport of goods between pick-up and drop-off points on the middle mile. With advanced capabilities for both highway and urban environments, Gatik Carrier™ integrates cutting-edge software and hardware, seamlessly merging into our customers' logistics operations. Position Overview We are seeking experienced Machine Learning engineers specializing in classical and modern machine learning techniques for behavior prediction. The selected candidate will play a pivotal role in architecting, designing, implementing, and delivering a multi-modal prediction system. Ideal candidates will have a proven track record of guiding processes from research and development through to product launch, creating impactful real-world solutions. This role requires on-site work at our Mountain View, CA office, five days a week. Key Responsibilities Develop critical components of the behavior prediction system, focusing on accurately forecasting the movements and actions of surrounding objects to enhance the decision-making capabilities of our autonomous vehicles. Collaborate closely with cross-functional teams to integrate prediction models into our existing systems. Conduct research to continuously improve prediction accuracy and system performance.

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

About UsNuro is at the forefront of self-driving technology, dedicated to making autonomy available to everyone. Established in 2016, we are developing the most scalable autonomous driver, integrating advanced AI with top-tier automotive hardware. The Nuro Driver™ technology is licensed for various applications, including robotaxis, commercial fleets, and personal vehicles. With years of successful self-driving implementations, Nuro paves the way for automakers and mobility platforms to achieve commercial-scale autonomous vehicles, fostering a future that is safer, more integrated, and enriched.Role OverviewAs a Senior/Staff Software Engineer specializing in driving behavior verification, you will play a crucial role in developing metrics to assess the complete behavior of the Nuro Driver. These metrics will be pivotal in quantifying the safety of our driving behavior within designated operational domains (ODD). Your background in behavior planning or prediction systems for robotics, along with a collaborative spirit, will allow you to effectively engage with diverse teams across Nuro, including Systems, Onboard Software, Simulation, Product, and Operations.Key ResponsibilitiesCreate and implement generalized metrics in Python to validate the driving behavior of autonomous vehicles.Utilize a mix of machine learning models and safety metrics from established literature to analyze end-to-end driving performance.Test and evaluate these metrics through various methods: synthetic and log simulations, on-road data, closed-course tests, and third-party accident analyses.Collaborate with Systems, Behavior, Perception, Data Science, Product, Legal, and Public Trust teams to define acceptance criteria for metrics and tests.Work alongside simulation infrastructure and test integration teams to establish automated verification processes.Produce comprehensive performance and validation reports demonstrating the safety of the autonomous system for deployment within our target ODD.

About UsGatik is at the forefront of transforming autonomous middle-mile logistics, revolutionizing the B2B supply chain with our pioneering autonomous transportation-as-a-service (ATaaS) solution. We prioritize safe, reliable deliveries while enhancing freight movement and minimizing congestion. Our focus is on short-haul B2B logistics for Fortune 500 retailers, and in 2021, we launched the world’s first fully driverless commercial transportation service in collaboration with Walmart. Gatik's Class 3-7 autonomous trucks are actively deployed across key markets, including Texas, Arkansas, and Ontario, Canada, pushing the boundaries of innovation in freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously designed to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With exceptional capabilities in both highway and urban environments, Gatik Carrier™ serves as a comprehensive solution integrating advanced software and hardware that powers our fleet, enabling seamless integration into our customers' logistics operations.About the RoleWe are searching for experienced Senior or Staff Engineers to join our team and develop the core behavior planning system for our autonomous vehicles, facilitating safe and intelligent decision-making. This role involves designing behavior tree architectures, building robust C++ infrastructure, collaborating across autonomy teams, evaluating planner performance, and providing technical leadership within the team. This position is onsite at our Mountain View, CA office, requiring presence five days a week!

Join Waymo, a leader in autonomous vehicle technology, as a Senior Software Engineer specializing in Behavior Test Engineering. In this role, you will collaborate with cross-functional teams to design, develop, and implement robust test frameworks that ensure the safety and reliability of our self-driving technology.Your expertise will contribute to creating innovative solutions that push the boundaries of what is possible in autonomous driving. You will be responsible for enhancing the testing processes and ensuring our software meets the highest standards of quality and performance.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives currently lost in traffic incidents. With over ten million rider-only trips facilitated by our technology, and more than 100 million miles driven autonomously on public roads, we are transforming transportation across 15+ U.S. states.The Predictive Planning team (PrePlan) is responsible for designing and implementing advanced machine learning solutions that forecast future world states and plan the Waymo Driver’s actions. Our goal is to harness Waymo’s extensive driving data to create robust, adaptable, and efficient deep neural networks that empower our autonomous vehicles to navigate complex environments safely.In this hybrid position, you will collaborate closely with our PrePlan team and be matched with your team after completing onsite interviews.Your Responsibilities Will Include:Developing cutting-edge ML-driven prediction and planning systems to boost the capabilities of our ML driver and facilitate the rapid growth of Waymo’s services.Converting open-ended, real-life challenges into well-defined ML problems, researching and applying state-of-the-art ML techniques, such as foundation models and reinforcement learning, to enhance autonomous vehicle planning and prediction.Collaborating with top-tier researchers, engineers, and product managers to ensure safe and smooth planning behaviors for all road users, aligning with product specifications.Creating and assessing large-scale models, integrating them into Waymo’s production planning software for real-world applications in close cooperation with the Planner and Research teams.

Waymo is hiring a Senior Staff Engineer for the DevAI team in Mountain View, CA. This role centers on leading projects that apply advanced artificial intelligence to improve autonomous vehicle systems. What you will do Guide the design, development, and deployment of scalable AI solutions for autonomous vehicles Work closely with teams across disciplines to deliver impactful projects Mentor junior engineers and help build a strong, collaborative team culture What you bring Deep experience in machine learning, software engineering, and system architecture Ability to lead complex technical initiatives from concept through deployment Strong communication and collaboration skills This position offers the chance to shape the future of transportation by advancing AI-driven solutions within Waymo's autonomous vehicle platform.

About UsGatik is at the forefront of transforming autonomous middle-mile logistics, providing cutting-edge transportation-as-a-service (TaaS) solutions to streamline B2B supply chains. Our mission is to ensure safe and timely deliveries while alleviating congestion in freight movement. We proudly launched the world’s first fully driverless commercial transportation service with Walmart in 2021, utilizing our Class 3-7 autonomous trucks in key markets such as Texas, Arkansas, and Ontario, Canada.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously designed to securely transport freight between pick-up and drop-off points across the middle mile, excelling in both highway and urban environments. This all-in-one solution integrates advanced software and hardware, seamlessly fitting into our customers’ logistics frameworks.Role OverviewWe are in search of a dedicated Safety Engineer to spearhead safety performance evaluations and implement data-driven assessments for our autonomous trucking systems. In this pivotal role, you will establish and track Safety Performance Indicators (SPIs) and Key Performance Indicators (KPIs), ensuring compliance with Gatik’s safety protocols and promoting ongoing safety enhancements from the vehicle level to fleet-wide implementations.This position requires a commitment to being onsite five days a week at our Mountain View, CA or Fort Worth, TX office.Key ResponsibilitiesEvaluate safety performance through real-world and simulated data analysis.Lead post-deployment safety assessments and develop risk mitigation strategies.

Waymo, a pioneer in autonomous driving technology, is dedicated to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has been at the forefront of advancing mobility solutions. Our flagship product, the Waymo Driver—The World’s Most Experienced Driver™, enhances access to safe transportation while significantly reducing traffic-related fatalities. This state-of-the-art driving system powers our fully autonomous ride-hailing service and is adaptable across a multitude of vehicle types and applications. Having completed over ten million rider-only trips and accumulated over 100 million miles driven autonomously on public roads, we are committed to redefining the future of transportation.Our Systems Engineering team is at the core of this innovation, merging software and hardware to set unparalleled performance benchmarks. We strive for excellence in vehicle operations, ensuring passenger safety while conducting rigorous testing to validate our systems. We seek enthusiastic team members who possess a collaborative spirit and a passion for impactful results.In this hybrid role, you will collaborate directly with a Senior Staff Test Engineer specializing in Driving Behaviors.

About Us Nuro is an innovative self-driving technology firm dedicated to making autonomy accessible for everyone. Established in 2016, Nuro is on a mission to build the world’s most scalable autonomous vehicle, integrating advanced AI with automotive-grade hardware. We license our core technology, the Nuro Driver™, to facilitate a variety of applications, including robotaxis, commercial fleets, and personal vehicles. With a proven track record in self-driving deployments, Nuro provides automakers and mobility platforms a straightforward pathway to commercial-scale autonomous vehicles—creating a safer, richer, and more interconnected future. Role Overview The Behavior Planning Team at Nuro is responsible for advancing the Nuro Driver’s prediction and planning systems to enable secure, driverless autonomy. We seek talented software engineers to explore, develop, and implement technologies for our planning stack, ensuring safe rides across diverse roadways. This role involves creating a versatile and scalable machine learning planner capable of powering Level 4 driving for robotaxi applications and serving as a Level 2 solution for leading automobile manufacturers globally. The Nuro Driver™ operates in various environments, from structured streets and highways to unstructured areas like parking lots and busy traffic situations. You will design and develop cutting-edge algorithms that empower the Nuro Driver to adeptly plan and navigate intricate scenarios with human-like proficiency. Your work will focus on formulating intelligent strategies to utilize diverse datasets effectively, optimizing our learned behavior stack. If you are eager to implement state-of-the-art robotics and machine learning technologies in a collaborative setting with immediate impact, we invite you to join our team! Responsibilities Design and implement innovative robotics and machine learning technologies for the Nuro Driver. Collaborate cross-functionally with engineers in behavior, perception, mapping, and ML research to push the boundaries of autonomous driving. Translate theoretical solutions into production-ready software to deploy new technologies on real vehicle platforms safely, efficiently, and at scale. Provide mentorship and technical guidance to junior members of the behavior team. Qualifications PhD or Master’s Degree in robotics, computer science, mechanical/aerospace engineering, electrical engineering, mathematics, or a related field. Expertise in robotics with a focus on path planning, motion planning, trajectory generation, behavior planning, and optimal control. Experience with machine learning techniques such as deep learning, reinforcement learning, and data-driven decision-making.

Waymo, a pioneer in autonomous driving technology, is dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our mission is to develop the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives currently lost to traffic accidents. The Waymo Driver not only fuels our fully autonomous ride-hail service but can also be integrated into various vehicle platforms and applications. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, alongside extensive simulation experience across 15+ U.S. states, our impact is profound.The Planner Reasoning Team plays a crucial role in shaping the Waymo Driver’s behavior and extends its influence throughout the organization. As a Staff Technical Lead, you will be instrumental in scaling the performance of the Waymo Driver and enhancing our renowned safety standards as we expand our services to additional cities.

Job Title: Senior Staff Software Engineer - Enzyme Location: Mountain View, California At Databricks, we are driven by a passion for empowering data teams to tackle some of the world’s most intricate challenges—from revolutionizing transportation to accelerating medical advancements. We achieve this by developing and managing the leading data and AI infrastructure platform, enabling our customers to harness deep data insights to elevate their businesses. The Lakeflow Engineering team at Databricks oversees our comprehensive ETL product line, including innovative solutions like Materialized Views, Structured Streaming, and Delta Live Tables. We operate one of the largest data engineering platforms globally, processing exabytes of data daily for our extensive client base. We are in search of a committed technical leader to guide the Materialized Views engineering team. This team is tasked with creating next-generation Materialized View features that enhance both ETL workloads and query acceleration. In this role, you will engage in various areas to design and implement advanced systems that surpass current state-of-the-art: Incrementally maintaining materialized views Optimizing query performance Managing resources efficiently Developing effective storage structures Automating physical data optimization Your Impact: Address significant business needs at a large scale through your software engineering expertise. Deliver a robust, scalable, and fault-tolerant architecture for Materialized Views. Conduct low-level systems debugging, performance measurement, and optimization on large production clusters. Shape architecture design, influence product roadmaps, and assume ownership of new projects. Introduce tools that enhance automation and operational efficiency of services. Utilize your extensive experience to help preempt and resolve production issues. Plan and lead complex technical projects collaborating with multiple teams across the organization.

Coupang is a leading name in South Korean e-commerce, known for dependable service and rapid innovation. With offices in Mountain View and Seattle, the company blends a startup’s drive with the backing of a global public organization. The culture supports both individual growth and strong teamwork. Initiative is valued at Coupang. Team members often launch new projects and play a direct role in shaping the company’s direction. Entrepreneurial thinking is encouraged, and those who drive improvements are recognized for their impact on both personal and company development. Coupang’s ambitions reach beyond standard commerce. The company regularly tackles challenging projects, always looking for new ways to improve technology and customer experience. Role overview The Senior Staff Backend Engineer will be part of the Application Infrastructure team. This group is responsible for building and enhancing complex workflow systems that power Coupang’s core services, including the rocket delivery platform. Their work supports systems that manage hundreds of millions of dollars in revenue. What you will do Design and develop a new, scalable workflow service from the ground up Make workflow development easier for domain teams Ensure the infrastructure can support growing business demands Help shape a critical system at the center of Coupang’s operations

The Enterprise Applications team at Databricks is embarking on an exciting journey to redefine our business operations. Our objective is to develop robust, in-house platforms and AI-driven capabilities that deliver a significant competitive edge, propelling us towards doubling our size and revenue.As a Senior Staff Software Engineer within the Enterprise Applications team, you will be pivotal in designing and implementing end-to-end applications that enhance our business functionalities and equip our employees with truly assistive technologies. Your responsibilities will include defining the technical roadmap, designing essential software systems, elevating engineering standards, mentoring junior engineers, and addressing the most complex technical challenges the team faces. You will serve as the technical leader for a team of talented software engineers.

Coupang is a major force in South Korean e-commerce, focused on making daily life easier for millions of customers. The company combines the energy of a startup with the reach and stability of a global public business, supporting rapid innovation and new service launches. Team members value initiative, growth, and the opportunity to make a real impact. About the Role The Senior Staff Software Engineer - Security will play a central role in strengthening the security and reliability of Coupang’s core platforms. This position is based in Mountain View or Seattle. The work centers on technical leadership, architecture, and hands-on software development. The goal: build secure, dependable, and scalable systems that support Coupang’s growth and protect customer trust. What You Will Do Lead security architecture and design for backend systems Drive technical decisions that improve platform security, quality, and reliability Mentor and guide fellow engineers on security best practices Collaborate closely with product teams on high-impact projects Contribute directly to codebases, setting high standards for secure development What We’re Looking For Extensive experience in software engineering with a focus on security Strong background in building and scaling secure backend systems Proven ability to provide technical leadership and architectural direction Experience mentoring engineers and collaborating across teams Join Coupang to help shape the future of commerce and make a lasting difference in a high-tech, connected world.

Join Waymo as a Senior Staff Machine Learning Engineer specializing in Depot Automation, where you will play a vital role in transforming the future of transportation through cutting-edge machine learning solutions.Your expertise will drive innovation and efficiency, ensuring our autonomous vehicles operate seamlessly in various environments. Collaborate with a team of passionate engineers and researchers to develop and implement advanced algorithms that enhance our depot operations.

Who We AreNuro is at the forefront of self-driving technology, dedicated to making autonomy accessible for everyone. Founded in 2016, we are developing the most scalable autonomous driving system, merging advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed for various applications, including robotaxis, commercial fleets, and personal vehicles. With years of successful deployments, Nuro provides automakers and mobility platforms a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer and more connected future.About the RoleThe Prediction team is tasked with leveraging cutting-edge machine learning techniques to enhance the functionality of the Nuro Driver. As a pivotal member of the Prediction and Smart Agents team, your role will center on developing state-of-the-art models that predict the behavior of surrounding traffic, which are integral to our autonomous systems. These models will be utilized both on-board and off-board in realistic closed-loop simulations.In this position, you will delve into innovative machine learning approaches to address complex challenges in autonomous driving. Your work will involve employing generative sequence modeling techniques to accurately predict intricate, interactive traffic scenarios. This necessitates a deep understanding of the intentions of other road users and their impact on safe driving decisions. You will also explore diverse input modalities, including End-to-End (E2E) strategies, to forecast the behavior of other agents. A crucial aspect of this role is the creation of intelligent, controllable agents to facilitate effective closed-loop training within simulations.If you are driven by the challenge of solving complex problems, leading impactful research, and witnessing your contributions in real-world applications, we invite you to apply!About the WorkDesign and develop scalable, machine learning-based prediction systems to generate multi-modal, realistic, and kinematically feasible trajectories.Engage in pioneering research focused on generative sequence modeling and sequential decision-making, exploring areas such as:Scalable generative sequence modeling techniques.Modeling marginal, conditional, and joint distributions for interactive agents.Transformer-based encoder-decoder frameworks.Large generative models and diffusion techniques.Agent controllability through conditioning, guidance, and various methodologies.Collaborate closely with the Planning team to create realistic and controllable agents that enhance our simulation capabilities.

About Us Nuro is at the forefront of self-driving technology, striving to make autonomous driving accessible to everyone. Established in 2016, we are dedicated to developing the world’s most scalable driver by merging advanced artificial intelligence with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed across various applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of successful self-driving deployments, we provide automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer, more connected future. Role Overview At Nuro, we prioritize a machine-learning-centric approach to autonomous driving. The performance of our systems relies significantly on the volume and diversity of training and evaluation data. Our team is vital in enhancing autonomous driving systems by ensuring high-quality labeled data accessibility. This is achieved through a sophisticated labeling stack that includes a workflow execution framework, supporting infrastructure, and an array of data annotation tools. Our autonomy stack is powered by an industry-leading sensor suite, capable of efficiently processing and annotating millions of sensor data points weekly. The platform team's mission is to ensure that labeled data is readily available for all users. Our systems must be dependable and scalable, encompassing everything from request submissions to progress tracking, data dumping, and model development. We work closely with autonomy engineers to guarantee the labeled data's quality and comprehensiveness. As Nuro expands its services, it becomes increasingly critical to capture and promptly triage all issues. Key Responsibilities Develop and maintain highly available and fault-tolerant systems for data annotation. Productionize core infrastructure for our cutting-edge autonomy system. Enhance label quality through data-driven metrics and monitoring. Leverage state-of-the-art ML research to automate and optimize the data labeling lifecycle. Qualifications Bachelor's or Master's degree in a relevant field with 5+ years of industry experience. Proven experience in designing, building, and operating highly scalable and reliable distributed data systems. Demonstrated ability to lead cross-functional projects with strong communication skills. Expertise in data processing and machine learning techniques.

At Databricks, we are committed to empowering data teams to tackle some of the world's most significant challenges—ranging from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized through the development and management of the foremost data and AI infrastructure platform, enabling our clients to derive deep insights from their data to enhance business outcomes. Founded by engineers and driven by a passion for customer success, we eagerly embrace each opportunity to confront technical hurdles, from innovating next-generation UI/UX for data interaction to scaling our services across millions of virtual machines. Our journey has just begun.As a Senior Staff Software Engineer, you will be a pivotal member of the executive leadership team within the Data Platform organization. You will utilize cutting-edge AI developer tools and methodologies to construct the Data Intelligence Platform, which will facilitate automated decision-making across Databricks. This role involves collaboration with distinguished Tech Leads, product teams, data scientists, and others. You will shape the future of various tools, including logging, orchestration, data transformation, metric stores, governance platforms, and data consumption layers.