Machine Learning Engineer at Otter.ai | Mountain View, CA

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 featur…

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.

Aeva is seeking a talented Software Engineer to join our Perception Data Infrastructure team. In this role, you will be responsible for designing and developing scalable systems to manage and process perception data efficiently. You will work collaboratively with cross-functional teams to innovate and enhance our perception capabilities, contributing to the overall success of our cutting-edge technology.

As a Senior Software Engineer specializing in Perception Verification at Waymo, you will play a crucial role in enhancing the safety and performance of autonomous driving technology. Your expertise will guide the development of innovative algorithms and systems that validate perception capabilities, ensuring our vehicles can navigate the complexities of real-world environments.This position offers an exciting opportunity to work at the forefront of technology, collaborating with a talented team of engineers and researchers dedicated to revolutionizing transportation.

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.

Waymo is at the forefront of autonomous driving technology, driven by the mission to become the world’s most trusted driver. Born from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility and save lives that are often lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service, which can be adapted for various vehicle platforms and use cases. With over ten million rider-only trips completed and experience accumulated from driving over 100 million miles on public roads, alongside tens of billions of miles in simulation across more than 15 U.S. states, Waymo is redefining transportation.The Perception team is integral to the Waymo Driver's success, crafting cutting-edge technology that enables our autonomous systems to accurately understand their environment, make informed decisions in real-time, and transport passengers safely to their destinations. We engage in research to tackle real-world challenges and collaborate with other innovative teams at Alphabet. Our access to extensive driving data collected through diverse sensors empowers software engineers like you to create and scale multi-modal models and techniques.Our objective is to establish a robust foundation for a high-level Perception pipeline, which is a fundamental component of the self-driving system. We serve as the essential link between Waymo's hardware teams and the broader engineering organization focused on self-driving technology, defining sensor specifications, providing vital feedback, and simplifying system complexities.In this hybrid role, you will report directly to a Technical Lead Manager.

Waymo is at the forefront of autonomous driving technology, driven by the mission to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we strive to develop the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and reduce traffic-related fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and a track record of over 100 million miles driven autonomously on public roads, backed by tens of billions of miles in simulation across more than 15 U.S. states, we are committed to safety and innovation.Our Systems Engineering team is integral to merging software and hardware systems in innovative ways. We set rigorous performance standards to ensure the seamless operation of our vehicles and the safety of our passengers, crafting and executing tests to validate these standards. We are seeking passionate individuals who excel in collaboration and are dedicated to achieving results.This position follows a hybrid work model and reports to a Staff Systems Engineer.

Join Moveworks as a Principal Machine Learning Engineer, where you will play a pivotal role in enhancing our GAI search relevance and ranking systems. In this dynamic position, you will lead a talented team of engineers and data scientists to develop cutting-edge machine learning algorithms that improve user interactions and search outcomes. Your expertise will drive innovation and reinforce our commitment to delivering exceptional solutions.

Waymo is a leader in autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo is committed to enhancing mobility access while significantly reducing traffic-related fatalities. The Waymo Driver, recognized as The World’s Most Experienced Driver™, underpins our fully autonomous ride-hailing service and can be adapted for various vehicle configurations and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, we are at the forefront of transforming transportation across 15+ U.S. states.Our Compute Team plays a pivotal role in this mission, delivering the advanced compute platform that enables our fully autonomous vehicles to operate seamlessly. We focus on architecting and developing high-performance custom silicon and system-level compute architectures that optimize performance, power efficiency, and latency. By collaborating with various teams, we ensure our hardware and software are designed and fine-tuned for peak performance. We are a multidisciplinary group seeking innovative and talented individuals to contribute to one of the industry’s highest-performing automotive compute platforms.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save thousands of lives currently lost to traffic accidents. The Waymo Driver operates Waymo’s fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips, our technology has autonomously driven more than 100 million miles on public roads and processed tens of billions of miles in simulation across more than 15 U.S. states.The Waymo ML Frameworks & Efficiency team collaborates closely with Research and Production teams to design and implement models in Perception and Planning, which are essential components of our autonomous driving software. We provide our partners with the most effective frameworks for the entire model development lifecycle and innovative efficiency solutions for model execution, tailored to the unique challenges of machine learning in autonomous driving.We are seeking talented engineers with expertise in ML frameworks or ML systems to enhance computational efficiency in both cloud environments and vehicle systems. You will engage with the entire ML stack, from deep learning model architectures to accelerator runtimes, working alongside ML modeling teams to drive large-scale efficient model training and inference.

Role Overview Waymo is hiring a Senior Machine Learning Engineer for its Infrastructure team in Mountain View, CA. This position centers on advancing Driver Understanding and Evaluation systems that support autonomous driving technology. What You Will Do Develop and refine machine learning algorithms to boost the accuracy and efficiency of Waymo's self-driving systems. Work closely with engineers and specialists across teams to design and implement technical solutions for Driver Understanding and Evaluation. Contribute to infrastructure that supports large-scale machine learning in the automotive domain. Collaboration This role involves regular collaboration with cross-functional groups, bringing together expertise from multiple disciplines to improve AI-driven vehicle performance.

Role Overview Unity Technologies is advancing mobile gaming with AI-driven features. The Principal Machine Learning Engineer will focus on deploying advanced AI models, such as transformers and diffusion networks, directly onto mobile devices. This position shapes how Unity brings state-of-the-art multi-modal models from research into real-world mobile applications. What You Will Do Technical Leadership: Set the vision for deploying multi-modal AI models on iOS and Android, drawing on deep experience with transformers, diffusion models, and generative architectures. Make key decisions on model optimization strategies, including compression, quantization, and knowledge distillation to address mobile device constraints. Assess and select inference runtimes (such as CoreML, ONNX Runtime Mobile, TFLite) to improve team capabilities and deployment outcomes. Oversee the entire optimization pipeline, from model export through hardware-specific kernel tuning across different processing units. Architecture & Research Translation: Work closely with research scientists to convert innovative model architectures into operational, mobile-optimized systems. Design scalable systems capable of processing varied inputs, images, text, metadata, while ensuring real-time output performance. Develop new approaches for dynamic resolution and token reduction tailored for mobile environments. Monitor and incorporate advancements in efficient AI technologies to keep Unity’s mobile AI stack current. Team Leadership & Mentorship: Guide and mentor machine learning engineers, establishing best practices for on-device performance evaluation. Collaborate with cross-functional teams to ensure AI capabilities align with product roadmaps and device requirements. Promote a culture centered on performance measurement, defining and tracking key metrics for efficiency and accuracy. Location Mountain View, CA, USA

Coupang is hiring a Senior Staff II, Machine Learning Engineer (Tech Lead) for the Search team in Mountain View, USA. This position centers on building and enhancing the core technology behind search for one of South Korea’s largest e-commerce platforms. Role overview This role focuses on designing, developing, and refining machine learning systems that directly impact how millions of people shop online. As a technical lead, expect to work on projects that shape the search experience and improve the accuracy and speed of results for Coupang’s customers. Team and culture Coupang encourages teams to launch new initiatives and solve complex problems. Employees regularly see the results of their work, both in personal growth and in the company’s progress. The culture blends the drive of a startup with the stability and resources of a global public company. What makes this role unique Work on technology that influences how millions shop online. Join a team that prioritizes innovation and ongoing improvement. Contribute to a company known for transforming e-commerce in South Korea. Experience the energy of a startup with the support of a global organization. This is a chance to help define the future of commerce as part of Coupang’s technology-driven Search team.

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 initiated in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable across various vehicle platforms and use cases. With over ten million rider-only trips completed, our technology has driven more than 100 million miles on public roads and simulated billions of miles across 15+ U.S. states.The Perception team is responsible for building systems that learn spatial-temporal representations and their semantic meanings in the environment surrounding an autonomously driving vehicle (ADV). We collaborate closely with downstream teams to optimize and integrate these systems into the Waymo Driver. Our research addresses real-world challenges, leveraging access to extensive driving data from diverse sensors. This empowers our engineers to develop efficient methods for continuous learning from large-scale real-world data, create scalable models, analyze real-world behaviors, and optimize systems for our onboard and offboard hardware.In this hybrid role, you will report directly to a Technical Lead Manager.