Senior Software Engineer - Algorithms & Machine Learning

About PathwayPathway is revolutionizing artificial intelligence with the introduction of the world’s first post-transformer model that mimics human thought processes. Our innovative architecture surpasses traditional Transformer models, providing enterprises with unparalleled transparency into model operations. By integrating this foundational model with the…

About VoltaiAt Voltai, we are pioneering the future of artificial intelligence by developing world models and agents capable of learning, evaluating, planning, experimenting, and interacting with the physical world. Our initial focus is on understanding and creating advanced hardware, electronic systems, and semiconductors, utilizing AI to design and innovate beyond human cognitive boundaries.About Our TeamOur remarkable team is backed by esteemed Silicon Valley investors, Stanford University, and industry leaders including CEOs and Presidents of Google, AMD, Broadcom, and Marvell. We boast a diverse group of former Stanford professors, SAIL researchers, Olympiad medalists, CTOs of prominent tech firms, and high-ranking officials with experience in national security and foreign policy.What We Are Looking ForExceptional AI/ML engineering skills, ideally from top-tier programs in Computer Science, Electrical Engineering, Mathematics, or Physics.Demonstrated success in delivering AI/ML projects from initial concept through to production deployment.Hands-on experience in fine-tuning and deploying large language models (LLMs) within production environments.Experience working with multi-modal models that integrate text, image, or audio inputs.Bonus PointsExperience in competitive programming.Contributions to open-source projects.Recognition through awards or publications in leading journals and conferences.Ability to thrive in a dynamic, fast-paced startup environment.

Woven by Toyota is at the forefront of Toyota’s transformative journey into a mobility company. With a legacy rooted in innovation for societal benefit, we aim to redefine mobility through human-centric advancements, expanding its meaning and societal impact.Our initiatives are built upon four primary pillars: Autonomous Driving/Advanced Driver Assistance Systems (AD/ADAS), our Arene software development platform for software-defined vehicles, Woven City as a mobility testbed, and Cloud & AI, which underpins our collaborative digital infrastructure. Together, these elements drive our ambitious vision of a world free of accidents and enhanced well-being for everyone.TEAMThe AD/ADAS division at Woven by Toyota is spearheading the development of fundamental algorithms necessary for the safe and reliable navigation of complex, unpredictable real-world scenarios. Our teams are pivotal in advancing next-generation autonomy and active safety systems through innovative algorithms, data-centric methodologies, and streamlined architectures. Within this division, the Behavior Department is tasked with rapidly advancing machine learning (ML) and artificial intelligence (AI) technologies to establish superior and secure vehicular behaviors. Spanning various aspects of active safety and Levels 2-4 autonomy, our team is dedicated to delivering essential technologies in perception, planning, control, and human-machine interaction (HMI) to meet production goals with Toyota.WHO ARE WE LOOKING FOR?We are in search of a Lead Perception Engineer who will partner closely with the head of World Understanding to shape the roadmap, architecture, metrics, and technical strategies for software components vital to vehicle perception. This role demands a systems thinker with profound expertise in machine learning techniques applicable to complex systems. The successful candidate will enhance the integration of data-driven and deep learning methodologies, emphasizing model design and validation, supervised and unsupervised learning, multi-task training, and temporal modeling. The focus will be on expediting cost-effective model iteration and validating data-driven strategies to unlock new safety and performance enhancements through advanced ML techniques.Additionally, strong communication abilities are essential, as this role involves mentoring technical leads and collaborating with a diverse array of stakeholders, including Toyota Motor Corporation (TMC), to identify intricate technical challenges, devise solutions, and drive our mission towards autonomy.

Our VisionAt Tinder, we believe that the thrill of meeting new people is one of life’s greatest joys. We are dedicated to nurturing the magic of human connection, engaging tens of millions of users worldwide. With hundreds of millions of downloads, over 2 billion swipes daily, 20 million matches each day, and a presence in more than 190 countries, our influence is vast and continually expanding.Our team collaborates to tackle intricate challenges, blending insights from human relationships, behavioral science, network economics, AI, and machine learning, while prioritizing user safety and cultural sensitivity. We explore the depths of loneliness, love, and connection.Internship DurationThe internship will take place from June 1 to August 28, 2026.Work EnvironmentThis is a hybrid position, requiring in-office collaboration three days a week in our Palo Alto, California office.Role OverviewAs a member of the Tinder ML team, you will play a crucial role in shaping the product experience across diverse domains, including Recommendations, Trust & Safety, Profile Management, Chat, Growth, and Revenue. Our goal is to leverage machine learning to enhance user experiences, build trust, and drive business growth within Tinder's ecosystem. This internship offers a unique opportunity to work alongside experienced engineers to develop and implement machine learning solutions that align with Tinder’s strategic objectives.

Pinterest’s Advanced Technology Group is looking for a Machine Learning Intern at the master’s level for Fall 2026. This internship centers on visual search and recommendation systems, blending research and engineering in a collaborative environment. Interns may help launch new features for millions of users or take part in academic research projects. Role overview This 12-week paid internship runs from September 21 to December 11, 2026. Work may be remote or hybrid, with office locations available in San Francisco, Palo Alto, Seattle, or New York. Team placement determines whether the role is remote or hybrid. What you will do Build and launch new user features using internal datasets and machine learning techniques. Conduct research focused on visual understanding and recommendation systems. Work closely with engineering teams and take part in external collaborations or mentoring. Contribute to features that may reach millions of users or support research for academic publication. Locations San Francisco, CA Palo Alto, CA Seattle, WA New York, NY Remote (team dependent) Internship details 12-week program: September 21 to December 11, 2026 Paid internship Remote or hybrid work (based on team) Application note Applying to this position enters candidates into consideration for multiple machine learning internship roles across Pinterest’s ML teams. Submit only one application within the USA or Canada; multiple applications may delay review.

At Rhoda AI, we are pioneering the future of humanoid robotics by establishing a comprehensive stack that includes advanced, software-defined hardware along with foundational models and video world models to drive our innovations. Our robots are engineered to be versatile, capable of navigating complex real-world scenarios that extend beyond traditional training environments. Our interdisciplinary research team, featuring experts from prestigious institutions such as Stanford, Berkeley, and Harvard, is at the forefront of large-scale learning, robotics, and systems engineering. With over $400 million raised, we are making significant investments in research and development, hardware innovation, and scaling our manufacturing capabilities to bring our vision to life.We are seeking a motivated Machine Learning Inference Engineer to join our team and contribute to the development and operation of the inference systems that power our automation stack. You will play a crucial role in ensuring the efficient and reliable execution of large foundation models, collaborating closely with our robotic platforms and internal task tools.Key Responsibilities:Develop and maintain infrastructure for model inference across both cloud and on-premises environments.Optimize the latency, throughput, and reliability of deployed machine learning models.Design and scale services for serving diverse foundation models in both research and production contexts.Collaborate with research and robotics teams to enhance inference optimization and integration.Create tools for model deployment, version control, and observability to facilitate rapid iteration cycles.Contribute to the robustness and scalability of the inference stack as model complexity and deployment demands evolve.Qualifications:Minimum of 3 years of experience in machine learning infrastructure, MLOps, or backend systems.Proven experience in deploying and managing machine learning inference workloads in production environments.Excellent knowledge of Kubernetes and containerized deployment pipelines.Familiarity with cloud service providers such as AWS and GCP, including GPU orchestration capabilities.Experience with popular ML frameworks including PyTorch and TensorFlow, as well as model serving tools like Triton, TorchServe, and Ray Serve.Strong debugging capabilities and a proactive ownership mindset, comfortable resolving issues across the technology stack.

About Mistral AIAt Mistral AI, we harness the transformative power of artificial intelligence to streamline tasks, save valuable time, and foster enhanced creativity and learning. Our innovative technology is crafted to effortlessly integrate into everyday work environments.We are committed to democratizing AI by offering high-performance, optimized, open-source models, products, and solutions. Our extensive AI platform caters to both enterprise and individual needs, featuring products like Le Chat, La Plateforme, Mistral Code, and Mistral Compute—creating cutting-edge intelligence accessible to all users.As a vibrant and collaborative team, we are driven by our passion for AI and its potential to revolutionize society. Our diverse workforce excels in competitive settings and is dedicated to fostering innovation. With teams distributed across France, the USA, the UK, Germany, and Singapore, we pride ourselves on our creativity, humility, and team spirit.Join us in shaping the future of AI at a pioneering company. Together, we can create a lasting impact. Discover more about our culture at https://mistral.ai/careers.Role OverviewAbout the Research Engineering TeamThe Research Engineering team operates across Platform (shared infrastructure & clean coding practices) and Embedded (integrated within research squads). Our engineers have the flexibility to navigate the research↔production spectrum as their interests and needs evolve.As a Machine Learning Research Engineer, you will be responsible for building and optimizing large-scale learning systems that underpin our open-weight models. Collaborating closely with Research Scientists, you may join either:- Platform RE Team: Focus on enhancing our shared training frameworks, data pipelines, and tools utilized across all teams; or- Embedded RE Team: Become part of a research squad (Alignment, Pre-training, Multimodal, etc.) to turn innovative ideas into scalable, repeatable code.Key Responsibilities• Support researchers by managing the complex aspects of large-scale ML pipelines and developing robust tools.• Bridge cutting-edge research with production: integrate checkpoints, optimize evaluations, and create accessible APIs.• Conduct experiments utilizing the latest deep-learning techniques (sparsification on 70B+ models, distributed training across thousands of GPUs).• Design, implement, and benchmark ML algorithms; produce clear and efficient code in Python.• Deliver prototypes that evolve into production-grade components for Le Chat and our enterprise API.

Join our team at Mind Robotics as a Machine Learning Infrastructure Engineer, where you'll play a pivotal role in developing the systems that facilitate effective large-scale model training. This position is ideal for individuals who thrive in high-scale environments—overseeing distributed training, managing core ML infrastructure, and leveraging rapid iteration loops across hundreds of GPUs. If you have experience building or managing large training systems in frameworks like PyTorch or JAX and have a passion for optimizing processes such as sharding, parallelism, and performance, you'll find a welcoming environment here. Collaborate closely with researchers to minimize friction, enhance reliability, and streamline the processes for training, evaluating, and deploying models that integrate into real-world applications.

Upwork Inc. connects businesses with skilled professionals in AI, machine learning, software development, sales, marketing, customer support, finance, and accounting. The company’s platforms, including the Upwork Marketplace and Lifted, help organizations of all sizes find and manage freelance, fractional, and payrolled talent for a range of contingent work needs. Upwork supports both large enterprises and entrepreneurs in sourcing talent and implementing AI-driven solutions. The company’s network covers more than 10,000 skills, enabling clients to scale and adapt their workforce for changing business demands. Since launch, Upwork has processed over $30 billion in transactions. The company’s mission centers on expanding opportunities at every stage of work. Learn more Visit the Upwork Marketplace: upwork.com Learn about Lifted: go-lifted.com Connect on LinkedIn, Facebook, Instagram, TikTok, and X Follow Lifted on LinkedIn

Join us at Grindr as a Staff Machine Learning Engineer in a dynamic hybrid work environment, primarily based in our Palo Alto office. You will be required to work in the office on Tuesdays and Thursdays.Why This Role is Exciting:As a pivotal member of Grindr, you will play a crucial role in our AI-driven transformation. This is your opportunity to leverage advanced machine learning techniques to enhance the way millions in the LGBTQ+ community connect, whether for casual chats, fleeting encounters, or enduring relationships. We are committed to making machine learning a cornerstone of Grindr, and your contributions will leave a lasting impact on our unique global platform.Impact from Day One: Join a focused team at the forefront of machine learning initiatives, where you will engage in significant, innovative projects that lay the groundwork for our long-term ML vision.Transformative Recommendations: Develop systems that connect users to their next meaningful experiences, adapting to a variety of needs and preferences.Insightful Conversations: Utilize Large Language Models (LLMs) to extract insights, enhancing user interactions with precision and creativity.Your Responsibilities:Design and implement scalable recommendation systems to serve millions, ensuring a balance between performance and innovation.Employ cutting-edge LLMs to analyze extensive conversational data and improve user connections.Prototype, refine, and deploy production-ready ML solutions that address real user challenges.Work collaboratively with engineering, data science, and product teams to bring bold ideas to fruition.Explore and implement new AI tools and techniques to keep Grindr’s technology at the forefront.Your Qualifications:A minimum of 7 years of experience in building machine learning systems, particularly in developing systems from the ground up. Experience with recommendation systems is advantageous.Demonstrated ability to deliver scalable solutions, with proficiency in Python and popular machine learning frameworks.A proactive approach to tackling complex challenges with tangible outcomes.Familiarity with data and deployment technologies (e.g., Snowflake, etc.) is beneficial.

About AppLovinAppLovin develops innovative technologies that empower businesses of all sizes to connect with their ideal audiences. Our comprehensive software and AI solutions enable companies to reach, monetize, and expand their global customer base. To learn more about AppLovin, visit: www.applovin.com.Our global team is diverse, reflecting the varied life experiences, backgrounds, and perspectives of our developers and customers worldwide. At AppLovin, we are deliberate in building a supportive team culture, seeking exceptional candidates who uplift those around them.AppLovin has been recognized by Fortune as one of the Best Workplaces in the Bay Area and has earned the Certified Great Place to Work designation for four consecutive years (2021-2024). Discover our other accolades HERE.A Day in the LifeAs a vital member of our software engineering infrastructure team, you will tackle technical challenges, including the enhancement and implementation of cutting-edge software infrastructure. Our team builds a high-performance, highly available, and globally distributed ecosystem of services that provides the foundation for rapid development of innovative systems that integrate and enhance our ecosystem.Our infrastructure team is responsible for delivering and maintaining scalable infrastructure that ensures high throughput and low latency to our bidding ecosystem. You will gain exposure to the entire pipeline of model delivery, encompassing training, serving, optimizations, and more.

Join us at Grindr in a hybrid position based in our Palo Alto or San Francisco offices, with in-office attendance required on Tuesdays and Thursdays.Why This Role is Exciting:As a pivotal figure at Grindr, you will lead our transformative AI journey. This is your opportunity to leverage state-of-the-art machine learning techniques to revolutionize the way millions within the LGBTQ+ community connect, whether through engaging conversations, casual meetups, or meaningful relationships. Our commitment to machine learning is strong, and you will play an essential role in shaping our strategy and execution on this unique global platform.Impact from Day One: You will be instrumental in establishing foundational systems in an early-stage ML environment, charting the roadmap for our long-term strategy.Innovative Recommendations: Design and scale recommendation platforms that connect millions to their next significant experience, tailored to diverse user intents.Conversational Insights: Employ large language models (LLMs) to extract insights and establish best practices for conversational AI, enhancing user engagement with precision.Key Responsibilities:Develop and manage large-scale recommendation systems to serve millions of users while balancing performance and innovation.Utilize advanced LLMs to analyze extensive conversation data, enhancing connections among users.Prototype, iterate, and deploy production-ready ML solutions addressing real user challenges.Provide technical guidance across teams, collaborating with engineering, data science, and product teams to turn innovative ideas into reality.Assess and incorporate emerging AI tools and techniques organization-wide to maintain a leading-edge technology stack.Qualifications We Seek:Over 10 years of experience in building ML systems, particularly in developing 0-to-1 systems, platform architecture, and pioneering new capabilities. Familiarity with recommendation systems is advantageous.Proven track record of delivering scalable solutions, with proficiency in Python and popular ML frameworks.A proactive mindset and the ability to work in a fast-paced, dynamic environment.

At Protegrity, we are at the forefront of data protection innovation, harnessing the power of AI and quantum-resistant cryptography. Our mission is to transform how sensitive data is safeguarded across cloud-native, hybrid, and on-premises environments. Utilizing cutting-edge cryptographic techniques, including tokenization and format-preserving encryption, we ensure that data remains both valuable and secure.Join us in a collaborative environment where your contributions will directly impact our industry. By working with some of the brightest minds, you will help redefine data security in a GenAI era, where data is the ultimate currency. If you're passionate about shaping the future of data protection, then Protegrity is the place for you!

About Glean:Established in 2019, Glean is a pioneering AI-driven knowledge management platform that empowers organizations to swiftly locate, organize, and disseminate information within their teams. By integrating flawlessly with platforms such as Google Drive, Slack, and Microsoft Teams, Glean ensures that employees have timely access to essential knowledge, enhancing productivity and fostering collaboration. Our state-of-the-art AI technology simplifies the discovery of knowledge, enabling teams to utilize their collective intelligence more rapidly and effectively.The vision for Glean originated from the profound insights of our Founder & CEO, Arvind Jain, who recognized the hurdles employees encounter in accessing and comprehending information at work. Witnessing the fragmentation of knowledge and the overwhelming number of SaaS tools that hindered productivity, he set out to create a superior solution—an AI-powered enterprise search platform that facilitates quick and intuitive information retrieval. Since its inception, Glean has transformed into the premier Work AI platform, blending enterprise-grade search capabilities with an AI assistant and robust application- and agent-building functionalities to fundamentally reshape how employees operate.About the Role:We are on the lookout for talented engineers to join our mission of building the world's leading search and assistant product for workplace efficiency. Our engineering team engages with various systems across the technology stack, focusing on areas such as query comprehension, document analysis, domain-specific language modeling, natural language question-answering, evaluation, and experimentation. We maintain regular interactions with our customers to deeply understand their challenges and utilize the most effective tools—whether simple or complex—to address their needs.Your Responsibilities:Develop innovative signals to enhance the personalization of our search engineTrain models to analyze interactions between signals in our ranking processes

About Glean:Established in 2019, Glean is a pioneering AI-driven knowledge management platform designed to empower organizations to swiftly locate, structure, and disseminate information among their teams. By seamlessly integrating with tools such as Google Drive, Slack, and Microsoft Teams, Glean ensures that employees can access the right knowledge at the right time, enhancing productivity and collaboration. Our state-of-the-art AI technology simplifies knowledge discovery, making it more efficient for teams to harness their collective intelligence.Glean was founded by Arvind Jain, who recognized the challenges employees face in navigating fragmented knowledge and diverse SaaS tools that hinder productivity. With a vision to create a superior solution, he developed an AI-powered enterprise search platform that facilitates quick and intuitive access to essential information. Since then, Glean has transformed into a leading Work AI platform, integrating enterprise-grade search, an AI assistant, and robust application and agent-building capabilities, fundamentally changing the way employees work.About the Role:We are on the lookout for talented Machine Learning Engineers who are eager to engage in both Quality Assurance and traditional ML tasks to aid in the development of our revolutionary Enterprise Brain. The Enterprise Brain team is crafting a suite of proactive AI products aimed at transforming enterprise workflows by identifying and automating tasks for users, thereby unlocking genuine productivity. This initiative is based on a profound understanding of user needs and a sophisticated Enterprise graph. The role will involve leveraging both LLM and advanced ML techniques, orchestrating agents, and employing cutting-edge ranking methods.Your Responsibilities:Tackle challenging ML problems that involve...

At Rhoda AI, we are pioneering the development of a comprehensive full-stack platform for the next generation of humanoid robots. Our innovative approach encompasses high-performance, software-defined hardware along with foundational and video world models that empower our robotic systems. Our robots are engineered as versatile generalists, adept at navigating intricate, real-world scenarios, including those not encountered during training. Collaborating with a distinguished research team from Stanford, Berkeley, Harvard, and other leading institutions, we operate at the forefront of large-scale learning, robotics, and systems engineering. With over $400M in funding, we are aggressively investing in research and development, hardware innovation, and scaling up manufacturing to bring our vision to life.We are on the lookout for a Staff / Principal Machine Learning Engineer to take charge of our training platform. This pivotal system is essential for ensuring that large-scale training is reliable, reproducible, and straightforward to execute. You will play a crucial role in defining the lifecycle of training jobs, including their launch, tracking, recovery, and debugging across our clusters. Your contributions will enable researchers to innovate rapidly without infrastructure hindrances.In this role, you will be at the heart of enhancing research efficiency: when a training job fails, your system will allow for automatic recovery; when experiments become challenging to reproduce, you will implement effective solutions; and when GPU hours are squandered, you will ensure visibility and preventative measures are in place.

Woven by Toyota is at the forefront of Toyota’s transformative journey into a mobility-focused company. With a rich legacy of innovation that prioritizes societal benefit, our aim is to redefine mobility through human-centered solutions, expanding the definition of mobility and its societal contributions.Our initiatives revolve around four core areas: Advanced Driver Assistance Systems (AD/ADAS), the Arene software development platform for software-defined vehicles, Woven City as a testing ground for mobility solutions, and our digital infrastructure encompassing Cloud & AI. Together, we strive toward a singular ambitious goal: a world devoid of accidents and enhanced well-being for everyone.TEAMAt Woven by Toyota, we are pioneers in crafting advanced Machine Learning solutions aimed at autonomous driving. Our team is dedicated to overcoming innovative challenges by designing sophisticated neural networks, developing pioneering end-to-end architectures, and enhancing machine learning techniques in perception, prediction, and motion planning. We are seeking enthusiastic innovators and skilled problem-solvers who are eager to transform mobility through cutting-edge AI and robotics, directly influencing the future of autonomous vehicle technology.Woven by Toyota is collaborating with the Toyota Research Institute (TRI) on a project focused on developing a visual-based world model as a learned simulator to assess end-to-end automated driving. This collaborative effort aligns with TRI's advanced development initiatives in Diffusion Policy and Large Behavior Models (LBM).WHO ARE WE LOOKING FOR?We are in search of a Senior Machine Learning Engineer to help construct a vision-based world model for interactive driving scenarios. The engineer will play a crucial role in linking research initiatives with production programs. This position demands excellent communication abilities and a collaborative approach to navigate the joint nature of the Woven / TRI partnership. Candidates should possess extensive technical knowledge of state-of-the-art methodologies in robotics and automated driving to guide vision and scope, initiating long-term open-research projects.

Join Our Innovative Team Nubank is a leading digital financial platform, serving over 122 million customers across Brazil, Mexico, and Colombia. Our mission is to simplify financial services and empower individuals, marking the start of a vibrant future in Latin America. As a publicly listed company on the New York Stock Exchange (NYSE: NU), we leverage cutting-edge technology and data intelligence to create financial products that are not only accessible but also user-friendly. Our achievements have earned us recognition from prestigious rankings, such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Explore more about us on our institutional page here. About the Role At AI Core, we are expanding our AI initiatives to become the backbone of Nubank's key decision-making systems. We are in search of talented Machine Learning Engineers to spearhead impactful research projects that connect advanced AI technologies with real-world financial systems. Your role will involve tackling intricate challenges using Deep Learning and Foundation Models, ensuring our solutions are scalable, efficient, and yield tangible business outcomes. As a Machine Learning Engineer (MLE), your responsibilities will include: Leading and executing complex applied research initiatives independently, focusing on building and optimizing architectures (e.g., Transformers, GNNs) for critical applications such as Credit, Recommendation Systems, Generative AI, and real-time inference. Resolving challenging and ambiguous modeling problems that necessitate collaboration across various teams (Data, Infrastructure, Product), delivering innovative solutions with a clear emphasis on medium-term impact. Connecting the research and production worlds by designing architectures that comply with MLOps constraints, ensuring models are optimized for latency, interpretability, and cost-effectiveness. We invite you to be part of our journey to revolutionize the financial landscape.

Woven by Toyota is at the forefront of Toyota’s groundbreaking transition into a mobility enterprise. With a commitment to innovating for the greater good, our mission is to revolutionize mobility through human-centric advancements that redefine its meaning and societal impact.Our initiatives are built upon four foundational pillars: AD/ADAS, encompassing our autonomous driving and advanced driver assistance technologies; Arene, our software development platform tailored for software-defined vehicles; Woven City, a pioneering testbed for mobility innovations; and Cloud & AI, the digital backbone that supports our collaborative framework. Our business-critical functions empower these teams to collaborate effectively in pursuit of a singular, ambitious goal: to create a world devoid of accidents and enhance the well-being of all.Team OverviewThe Behavior team at Woven by Toyota addresses autonomous challenges related to prediction and trajectory planning. Our work encompasses an array of tasks, including the analysis of petabytes of multimodal driving data, optimization problem-solving, latency reduction on hardware accelerators, deployment of scalable and efficient machine learning (ML) training and evaluation pathways, and the design of innovative neural network architectures to push the boundaries of ML in Prediction and Motion Planning.Candidate ProfileWe are searching for a highly experienced, technically adept Engineering Manager to spearhead a team of talented engineers within the behavior group. This role emphasizes the development and implementation of cutting-edge machine learning models for planning and prediction in AD/ADAS, alongside their related data processing frameworks and vehicle integration. The ideal candidate should possess a profound enthusiasm for self-driving technology and its transformative potential on a global scale. You will guide your team in enhancing our core behavior machine learning models and associated pipelines. We seek an individual with deep expertise in machine learning, a thorough comprehension of the model lifecycle, and substantial experience in creating tools and pipelines to address behavioral challenges. Success in this role necessitates a candidate who flourishes in a dynamic environment, is hands-on, and is driven to expand the frontiers of our technology. Prior experience in developing and deploying real-world autonomous driving products and collaborating with exceptionally skilled engineers is crucial.