Machine Learning Engineer at Creatify | Mountain View, CA

Join the AI Revolution at Creatify!At Creatify, we are pioneering the world’s first comprehensive AI advertising platform, automating every aspect of the video ad lifecycle—from creative scripting and avatar-driven production to testing, optimization, and seamless publishing across major platforms like Meta, TikTok, and YouTube.In only 18 months, we’ve achie…

About Nuro Nuro is pioneering self-driving technology with a vision to democratize autonomy for everyone. Established in 2016, we are developing the most scalable driver in the world, integrating advanced AI with automotive-grade hardware. Nuro's core technology, the Nuro Driver™, is licensed for diverse applications ranging from robotaxis and commercial fleets to personal vehicles. With years of successful self-driving deployments under our belt, we offer automakers and mobility platforms a clear pathway to achieving commercial-scale autonomous vehicles, contributing to a safer, richer, and more connected future. Role Overview At Nuro, we adopt a machine learning-first approach to autonomous driving. The quality of our Nuro Driver™ is intrinsically linked to the data utilized for its training, and this position plays a pivotal role in maintaining that standard. As a Senior Project Manager in ML Operations, your focus will be on oversight rather than execution. While our operators manage the day-to-day operations of data pipelines, your responsibility will be to take a broader view, identifying where quality issues may arise, understanding the causes, and devising actionable solutions. You will co-manage over 10 active data labeling pipelines in collaboration with senior leadership, placing a strong emphasis on data quality and addressing any gaps. This role requires a keen eye for detail, as even minor errors in annotation or classification can lead to significant safety regressions. We seek an individual who prioritizes precision and can differentiate between labeling mistakes and systemic issues. Your Responsibilities Establish and uphold data quality standards across 10+ labeling pipelines, defining what constitutes “good” for each data type, implementing measurement tools, and meticulously tracking discrepancies. Identify and rectify quality gaps by auditing live workflows, querying databases, tracing accuracy failures to their root causes, and presenting specific, evidence-based improvement plans. Work collaboratively above the execution layer by partnering with operations project managers focused on throughput and delivery, providing insights into quality diagnostics that they may overlook.

Who We AreAurora Innovation is on a mission to revolutionize transportation by delivering self-driving technology that is safe, rapid, and widely accessible.The Aurora Driver will usher in a new era of mobility and logistics, providing a safer, more efficient future for all.At Aurora, you will engage with complex challenges alongside a team of passionate and intelligent professionals, enhancing your expertise in the process. For the latest updates on Aurora, explore our website at aurora.tech or connect with us on LinkedIn.Aurora is committed to building a transportation ecosystem that enhances safety on our roads, ensures efficient delivery of essential goods, and makes mobility accessible for everyone. We are currently seeking a Software Engineer II.The Behavioral Simulation team is at the forefront of developing a simulation engine that mirrors the systems following the perception system. This team focuses on creating realistic actor behaviors and infrastructure tools for generating motion planning simulations.Your Responsibilities:Write software in C++17 and Python, adhering to modern best practices. This is a hands-on development role.Contribute to engineering best practices within a large and complex codebase.Address end-to-end simulation and autonomy behavior evaluation challenges across various components of the autonomy system, including motion planning, mapping, and localization.Design and implement critical simulation and offline testing engines and tools.Develop and enhance software for world entities, adaptive behavior, pathfinding, road networks, computational mathematics, spatial queries, collision detection, vehicle control, and vehicle dynamics.

Role Overview Waymo is hiring a Machine Learning Engineer focused on infrastructure for driver understanding and evaluation. This position is based in Mountain View, CA. What You Will Do Work closely with a team to advance autonomous driving systems. Develop and maintain infrastructure that supports machine learning models for vehicle perception and environmental interaction. Apply expertise in building and scaling machine learning solutions that help vehicles interpret and respond to their surroundings. About the Team This group focuses on improving how autonomous vehicles understand and evaluate driver behavior, aiming to make self-driving technology safer and more effective.

The Role Are you an accomplished software engineer eager to apply your expertise in a pioneering environment focused on AI agents? If so, this opportunity might be the perfect fit for you. As a senior software engineer on our innovative 'Agent Lab' team, specializing in Natural Language Understanding, you will significantly contribute to our mission: to expand the scope of tasks that can be reliably performed by agents at scale. You will have the chance to shape the future of the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge tools in enterprise AI, including top-tier LLMs from providers such as OpenAI, our team prioritizes rapid development on scalable infrastructure, tackling complex product and engineering challenges, and maximizing the value delivered to our customers. If you're looking to create meaningful impact alongside a talented, dedicated, and mission-driven team, we would love to discuss this opportunity with you. What You Will Do: Confront exciting and complex engineering challenges to develop and enhance robust AI agent systems that demonstrate reliability in all aspects. Implement leading-edge AI algorithms and architectures, ensuring their successful deployment at scale. Leverage the latest advancements in machine learning, LLMs, and AI agents to enrich our products and deliver exceptional user experiences. Contribute to the product roadmap and drive the development of engineering areas with increasing scope and significance, creating lasting value for our customers. Refine your skills in writing clean, extensible, readable, and high-performing code. Collaborate with subject matter experts across various departments, including machine learning, security, product, user experience, and customer success, to share knowledge and build the most exceptional enterprise AI product. Mentor fellow engineers on best practices for building, maintaining, and evolving high-quality software. Work closely with machine learning engineers, fostering a collaborative environment to build world-class AI systems. What You Bring To The Table: 2+ years of experience in designing, building, and enhancing production systems, preferably at scale. Strong analytical skills with the ability to clearly articulate complex engineering problems and systems. Proficient in programming languages and frameworks relevant to the development of AI systems. A passion for learning and staying updated with the latest trends in AI and software engineering.

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.

As a pivotal leader of a dynamic team of search relevance engineers, your primary mission will be to assess and enhance the ranking and relevance of our AI-driven enterprise search applications. These applications harness the power of large language models (LLMs), necessitating your expertise in evaluating and optimizing RAG-based objectives such as summarization, groundedness of responses, and citation accuracy and completeness. You will steer the team through the comprehensive development of machine learning models, encompassing data synthesis, feature engineering, experiment design, evaluation, and more. Your team's work will be fundamental in refining our search relevance systematically as we expand to new clients, diverse data types, and unique use-cases, ultimately ensuring the ranking quality across all our enterprise search products. Your team’s commitment to search quality is vital to the success of the company’s search product lines, with performance gauged by its enabling capabilities. You will empower your team members by facilitating rapid iterations on model enhancements, enabling them to refine ML metrics while understanding performance trade-offs and generalizability. You will oversee the team’s technical direction, manage project timelines, and ensure the resilience, efficiency, and innovation of our machine learning-based search systems. Collaboration with search infrastructure and platform engineers, as well as partnerships with product, design, and customer success teams, will be essential in achieving our business objectives.

Waymo is hiring a Staff Machine Learning Engineer to focus on Vehicle Compliance Reasoning. This role is based in Mountain View, CA or San Francisco, CA. Role overview This position centers on advancing how autonomous vehicles interpret and meet regulatory and operational standards. The work involves both technical leadership and direct development to enhance the reasoning capabilities of Waymo’s self-driving systems. What you will do Use machine learning techniques to help autonomous vehicles better understand and follow regulations and operational guidelines. Partner with other engineers to design and build solutions for complex, real-world driving scenarios. Support the safety and reliability of Waymo’s autonomous driving technology through both leadership and hands-on work. Team environment Join a group of engineers committed to improving the performance and compliance of autonomous vehicles across a range of environments.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, our mission has been to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver, our cutting-edge autonomous technology, powers a fully autonomous ride-hail service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, our system has been tested extensively, further driving our commitment to safety and innovation.The Driver Understanding and Evaluation (DUE) Machine Learning team is tasked with developing and managing scalable machine learning and data systems, enhancing our simulation workflows and analytical tools, and refining the evaluation processes for developer onboarding. This team merges expert human insights with advanced machine learning techniques to provide robust training and evaluation data for the myriad metrics and components that define the Waymo Driver. We seek talented researchers and software engineers who are enthusiastic about pioneering machine learning approaches for our evaluation systems, driving continuous improvements in our technology stack.Key Responsibilities:Develop a comprehensive strategy for next-generation, machine learning-based evaluation metrics while ensuring scientific and statistical rigor across our AI applications.Design and implement scalable systems for training and fine-tuning large-scale generative models to simulate realistic driving behaviors.Lead efforts in creating, implementing, and iterating innovative reinforcement learning (RL) algorithms and reward functions tailored to generate high-fidelity driving behaviors.Oversee the development of advanced Deep Learning models and Generative AI solutions to enhance triaging processes, automate high-volume workflows, and perform nuanced analyses of self-driving behaviors to identify critical anomalies.Stay informed on best practices within Alphabet and the broader industry to develop a state-of-the-art Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation system.Provide mentorship, guidance, and thought leadership to engineers within the team and across collaborative groups.Coordinate and align multiple teams—including Driver Understanding, Simulation, System Engineering, Research, and Onboard Software—to ensure cohesive evaluation methodologies.

Waymo, a leader in autonomous driving technology, is dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. Our technology has successfully completed over ten million rider-only trips, thanks to our extensive experience of autonomously navigating more than 100 million miles on public roads and executing tens of billions of miles in simulation across 15+ U.S. states.The Hardware Engineering team at Waymo is a dynamic and collaborative group of electrical, mechanical, reliability, software, and vehicle engineers. We design, construct, and refine the essential components that serve as the sensory systems for Waymo's autonomous driving technology, integrating these innovations into various vehicle platforms. We’re on the lookout for inquisitive and skilled individuals to help propel us forward.This position operates under a hybrid work schedule and reports to the Systems Engineering Manager.

DataVisor stands at the forefront of AI-driven fraud and risk management solutions, providing unparalleled detection capabilities within the industry. Our innovative SaaS platform allows for seamless integration and enhancement of diverse data sources, enabling organizations to respond to rapidly changing fraud and money laundering scenarios in real-time. With our proprietary unsupervised machine learning technology, robust device intelligence, and a powerful decision engine, we ensure substantial performance improvements from day one. Our platform is designed to accommodate a variety of applications across multiple business units, significantly reducing the total cost of ownership when compared to traditional point solutions. Recognized as a leader in our field, DataVisor is trusted by numerous Fortune 500 companies globally.Our acclaimed software platform is driven by a team of top-tier professionals specializing in big data, machine learning, security, and scalable infrastructure. We foster a culture of openness, positivity, collaboration, and results-oriented work. Join us in transforming the future of fraud detection!Position Overview:As part of our platform engineering team, you will contribute to the development of a next-generation machine learning platform, integrating our unique unsupervised machine learning (UML) techniques with supervised machine learning (SML) algorithms. Your role will involve enhancing our core detection algorithms and automating the comprehensive training process.With the rise of sophisticated fraud attacks, real-time detection is more crucial than ever. The platform team is tasked with constructing the architecture that supports real-time UML capabilities. We are seeking inventive and enthusiastic engineers to aid in the expansion of our novel streaming and database systems, which are essential for our detection functionalities.Join us in pushing the limits of what is achievable in fraud detection and large-scale data processing, and help us introduce innovative solutions to this critical domain.

About UsAurora Innovation is on a mission to revolutionize transportation through self-driving technology, ensuring safety and accessibility for everyone.Our innovative product, the Aurora Driver, is set to transform mobility and logistics, leading to a safer and more efficient future.Join us and tackle complex challenges alongside passionate experts in a collaborative environment. For the latest updates, visit aurora.tech or follow us on LinkedIn.Position OverviewWe are seeking a talented Senior Hardware Reliability Engineer to join our Hardware Reliability team. This pivotal role involves ensuring the reliability of our next-generation sensor systems, including Lidar, Camera, Radar, and IMU, vital for the Aurora Driver. You will collaborate with industry leaders such as Volvo and PACCAR to bring a robust, scalable product to market.

Waymo is a leader in autonomous driving technology dedicated to becoming the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, our focus has been on creating the Waymo Driver—an exceptional driver that enhances mobility access while significantly reducing traffic-related fatalities. The Waymo Driver not only supports our fully autonomous ride-hailing service but can also be adapted to various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has safely navigated more than 100 million miles on public roads and processed tens of billions of miles in simulation across over 15 U.S. states.The Perception Data team at Waymo plays a critical role in shaping the strategy and technical direction for all data utilized in training and evaluating the Waymo Driver's perception capabilities. We manage the complete data lifecycle, developing automated systems and 'infrastructure-as-product' solutions that convert vast amounts of driving sensor data into high-quality training datasets. Our team tackles complex challenges, including active learning loops and open-vocabulary modeling, bridging raw data with advanced machine learning techniques.By integrating data ingestion, curation, and evaluation into a unified ecosystem, we facilitate the swift development of foundational models and next-generation perception systems. We work closely with Machine Learning, Infrastructure, and Evaluation teams to address intricate data challenges, ensuring our models can effectively interpret the long-tail of rare events. Ultimately, our contributions lay the groundwork for the Waymo Driver to operate safely in diverse environments.

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.

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.

Who We AreGatik, a pioneer in autonomous middle-mile logistics, is transforming the B2B supply chain through its innovative autonomous transportation-as-a-service (ATaaS) solution. We prioritize reliable and safe deliveries while optimizing freight movements to alleviate congestion. Our focus is on short-haul, B2B logistics for Fortune 500 retailers, and in 2021, we introduced the world’s first fully driverless commercial transportation service in partnership with Walmart. Our Class 3-7 autonomous trucks are now operational in key markets, including Texas, Arkansas, and Ontario, Canada, driving the future of freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is engineered for safe and efficient freight transport between pick-up and drop-off locations on the middle mile. With advanced capabilities in both highway and urban settings, Gatik Carrier™ is an all-in-one solution that combines state-of-the-art software and hardware, seamlessly integrating into our customers' logistics operations.About the RoleWe are developing a high-scale, web-based simulation platform designed to validate autonomous systems. Our R&D team is producing AI/ML models, and we have a Senior Full-Stack Engineer working on the platform interface. We are looking for a Simulation Integration Engineer to serve as a vital technical bridge between these two teams. Your mission will be to ensure that the autonomy stack operates reliably within a virtual environment, creating complex testing scenarios and ROS2 infrastructure necessary for stress-testing our AI models.This is a 'Sim-to-Stack' orchestration role. While you won't be deploying to physical hardware, you will be responsible for ensuring the virtual world provides high-fidelity data to the autonomy stack and accurately reflects the model's 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

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.