Senior Autonomy Controls Engineer – Learning-Based Control

Join Teleo, a pioneering robotics startup revolutionizing the construction industry. Our mission is to transform heavy machinery—such as loaders, dozers, excavators, and trucks—into autonomous robots, enabling operators to efficiently manage multiple machines at once. This innovation not only enhances productivity but also significantly improves operator saf…

Woven by Toyota is driving Toyota’s transformative journey into a modern mobility enterprise. Our vision is to redefine mobility through innovative, human-focused solutions that serve society at large.Our initiatives revolve around four core areas: Advanced Driver Assistance Systems (ADAS), our autonomous driving technologies; Arene, our software platform for software-defined vehicles; Woven City, a testbed for mobility innovations; and Cloud & AI, the digital backbone supporting our collaborative efforts. Our business-critical functions empower these teams to achieve a singular ambitious objective: creating a world with zero accidents and enhanced well-being for everyone.TEAMAt Woven by Toyota, we confront challenges in Autonomy at the intersection of AI, Robotics, and Advanced Driving. Our work encompasses analyzing vast amounts of multimodal driving data, tackling optimization challenges, reducing latency on hardware accelerators, deploying scalable machine learning (ML) training and evaluation pipelines, and innovating neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are seeking proactive and innovative problem solvers to join our mission of enhancing mobility for all through human-centered automated driving solutions.WHO ARE WE LOOKING FOR?We are in search of a seasoned, hands-on ML Engineering Manager to lead a team of skilled and passionate ML Platform engineers. This role will involve close collaboration with our ML teams to enhance and scale our overall ML engineering initiatives, facilitating the deployment of Perception, Prediction, and Planning ML models alongside our AD/ADAS stack into millions of Toyota vehicles.This position will focus on developing and implementing tools, automation, and infrastructure that support the entire ML software lifecycle—ranging from data loading of curated ML datasets, large-scale ML model training, evaluation, and deployment, including quantization and the conversion of models into formats compatible with our edge devices.The ideal candidate possesses a collaborative spirit and a deep-seated passion for self-driving technology and its potential global impact. You will leverage your expertise in machine learning, a comprehensive understanding of the model lifecycle, and experience in developing tools and pipelines for vehicle perception, localization, prediction, and planning.

About ALSO.At ALSO, we are revolutionizing electric mobility. Founded as an innovative offshoot of Rivian, our dedicated team of builders, visionaries, and innovators is committed to designing cutting-edge, vertically integrated small electric vehicles (EVs) that address the global mobility challenges of today and tomorrow. Our mission is to inspire communities to embrace ALSO, transforming local transportation by replacing conventional cars, trucks, and SUVs with more affordable, enjoyable, and significantly efficient options—10 to 50 times more efficient, to be precise.We are on the lookout for a Senior Staff Vehicle Controls Engineer who will take charge of the design and development of our world-class vehicle control systems. This pivotal role involves overseeing the entire software development lifecycle, from concept and modeling to validation and deployment. You will bring strong technical leadership in control architecture, estimation, and algorithm development, influencing the next generation of vehicle control systems in a dynamic and collaborative setting. Your work will span software, firmware, electrical, and vehicle domains to tackle complex engineering challenges.Your ResponsibilitiesDefine and spearhead the architecture and development of vehicle control systems, including motion management, stability control, and related functions.Take ownership of system-level control strategies and interface definitions across control, firmware, electrical, and vehicle domains.Develop and guide control algorithms and state estimators for vehicle control applications.Establish handling metrics, define objective maneuvers, and create performance evaluation methodologies.Construct and maintain high-fidelity simulation models to validate estimators, observers, and control solutions.Lead the development of state estimation and sensor fusion techniques that support vehicle controls (e.g., IMU, GPS, WSS integration).Craft control architectures for distributed or multi-controller systems and ensure scalability across various programs.Proactively identify technical risks and implement mitigation strategies throughout the project lifecycle.Drive system-level integration and troubleshoot issues across software, firmware, and vehicle domains.Offer technical leadership and mentorship to the controls team, evaluating architecture and algorithm designs.Promote continuous improvement of control development workflows, tools, and automation processes.

Role overview The Senior Systems Engineer - Body Controls will lead the design, development, and validation of body domain systems for upcoming vehicles. This work centers on advancing systems that handle core vehicle functions, with a particular emphasis on reliability, safety, and compliance. What you will do Guide the technical direction for body controls systems, from concept through launch Ensure systems meet functional, safety, and regulatory standards Collaborate with cross-functional teams to deliver integrated solutions Drive improvements that enhance user experience and support technical progress Location This position is based in Palo Alto, California.

Pivotal stands at the forefront of the innovative electric Vertical Takeoff and Landing (eVTOL) aircraft market. We specialize in the design, development, and manufacturing of lightweight eVTOL aircraft, with our flagship product being the BlackFly—the world’s first light eVTOL to successfully execute manned flights and enter the consumer marketplace.Our aircraft are characterized by their efficiency, compactness, and simplicity, making them ideal for a diverse array of applications including consumer use, public service, and defense. With over a decade of flight experience, our unique tilt-aircraft architecture and adaptable platform are well-established. Recently, we unveiled our next-generation aircraft, the Helix, which is rapidly advancing towards general release and scalable production slated for early 2026.As mobility technology continues to be a highly sought-after investment area, Pivotal is perfectly positioned with the right strategy at the right time. If you’re ready for a thrilling journey, we invite you to be a part of our exceptional team and grow alongside us.

Company: Latitude AI Locations: Pittsburgh, PA; Palo Alto, CA; Detroit, MI About Latitude AI Latitude AI (lat.ai) develops automated driving technologies, including Level 3 autonomy, for Ford vehicles at scale. As a subsidiary of Ford Motor Company, Latitude operates with the independence and speed of a startup, while benefiting from the resources of a major automaker. Headquarters are in Pittsburgh, with engineering centers in Dearborn, MI, and Palo Alto, CA. What We Do The team brings together specialists in machine learning, robotics, cloud computing, mapping, sensor integration, and systems engineering. Together, we aim to make travel safer, more enjoyable, and less stressful for millions of drivers. About the Systems Engineering Team Systems engineers at Latitude AI integrate all parts of the autonomy stack into a unified product. The team works closely with cross-functional partners to define architecture, requirements, and test plans for a range of features and functionalities, including: Advanced Driver-Assistance Systems (ADAS) across multiple autonomy levels (L1, L2, L3), such as Blind Spot Detection, Rear Cross Traffic Alert, Base Park Aid, Lane Keeping & Change Assist, Adaptive Cruise Control (ACC), L2 Hands-On and Hands-Free, and L3 Eyes-Free features. Onboard (vehicle) and offboard (cloud) autonomy functions, including Mapping, Prediction, and Motion Planning. Platform capabilities for both onboard and offboard systems, like Logging, Time Synchronization, Data Ingestion, and Over-the-Air Software Updates. What You Will Do Lead and manage systems engineering processes for multiple ADAS features and ensure their integration with Ford platforms. Draft requirements to support strong performance across features and functionalities, considering both standard operations and variations in vehicle or environmental conditions.

Hippocratic AI seeks a Controller based in Palo Alto to guide financial operations and oversee core accounting activities. This position plays a central role in maintaining accurate records and ensuring compliance with relevant standards. Key responsibilities Manage daily accounting functions and maintain financial records Monitor compliance with internal policies and external regulations Support company-wide strategic planning through financial analysis Collaborate with senior management to provide financial insights for business decisions Collaboration The Controller works directly with leadership, sharing financial perspectives that help shape company direction and improve operations.

About Us:At HavocAI, we are pioneers in collaborative autonomy, leading the way in creating self-tasking teams of machines that tackle complex human challenges. Our expertise in autonomous surface vessels empowers a diverse range of defense and commercial maritime operations. As we rapidly expand, we invite passionate individuals who are driven to innovate, resolve intricate issues, and contribute to conflict prevention and life-saving initiatives to join our team.About the RoleIn the role of Robotics Engineer – Ground Autonomy, you will be responsible for designing, constructing, and deploying autonomous systems for unmanned ground vehicles in intricate and unstructured environments. This position encompasses the entire autonomy stack, from control systems and motion planning to perception integration and mission execution. You won't merely develop algorithms; you will take ownership of systems that enable real machines to navigate real terrains under practical operational constraints.If you thrive on developing intelligent systems that can operate safely and effectively in the real world, and seek immediate and significant impact beyond the laboratory, this is the ideal opportunity for you.

About ridealso.At ridealso, we are pioneers in electric mobility, initially launched under Rivian. Our dynamic team is comprised of visionaries, creators, and innovators dedicated to revolutionizing the future of transportation with our cutting-edge, vertically integrated small electric vehicles (EVs). We aim to tackle today’s and tomorrow’s mobility challenges by inspiring individuals to choose ridealso—making transportation more affordable, enjoyable, and significantly more efficient, with energy savings of 10-50 times.As a Controls Test Engineer, you will be instrumental in defining and executing comprehensive testing strategies across software, hardware, and simulation environments, including Model-in-the-Loop (MIL), Software-in-the-Loop (SIL), and vehicle testing. Your role will involve developing automation frameworks, validating embedded systems and propulsion control modules, performing defect investigations, and conducting root-cause analyses to ensure the highest quality standards.

About ridealso.At ridealso, we are at the forefront of electric mobility, initially born from the innovative minds at Rivian. Our dedicated team of builders, dreamers, and innovators is committed to revolutionizing urban transportation by creating cutting-edge, vertically integrated small electric vehicles (EVs) that address today's mobility challenges. Our mission is to inspire a shift in transportation, replacing traditional vehicles with more affordable, enjoyable, and exponentially efficient options—10 to 50 times more efficient, to be exact.We are seeking a talented Motor Controls Engineer to join our team and play a crucial role in the development of advanced motor control systems for our electric vehicles.Your ResponsibilitiesDesign and implement sophisticated motor control algorithms, as well as support various control development initiatives.Create and uphold simulation models to validate and study control systems.Conduct testing and troubleshooting in both laboratory settings and real-world vehicle applications.Collaborate with electrical, mechanical, and systems engineers to define requirements, develop solutions, and validate performance.Identify, document, and track software bugs, utilizing log analysis to resolve issues efficiently.Your QualificationsMS or PhD in Controls, Electrical Engineering, or a related discipline, with a strong emphasis on motor controls and drives.Demonstrated expertise in controlling Permanent Magnet Synchronous Motors (PMSM) and inverters, along with hands-on experience in motor control algorithms, including Field-Oriented Control (FOC) and Direct Torque Control (DTC).Practical experience in testing motor drive systems, with familiarity in utilizing equipment like dynamometers, power supplies, and power meters.Proficiency in MATLAB/Simulink, encompassing model-based design, Stateflow, and automation script development.Knowledge of embedded controllers and programming languages such as C and Python.Acquainted with automotive communication protocols (e.g., CAN) and tools like Vector CANalyzer and CANape.Experience with version control systems (e.g., Git) and continuous integration practices.Salary: The salary for this position is competitive, ranging from $220,000 to $245,000 annually, commensurate with experience and qualifications.

About 1XAt 1X, we are at the forefront of AI and robotics innovation, located in the heart of Palo Alto, California. Our mission is to revolutionize society by creating versatile robots capable of performing a wide range of tasks autonomously. We envision a future where humanoid robots learn and grow alongside humans, enhancing everyday life with their capabilities.Our commitment to developing user-friendly home robots that integrate into daily routines drives us to seek passionate, inquisitive, and motivated individuals who are eager to contribute to the future of robotics and AI. If our vision resonates with you, we would love to connect and explore how you can become a part of our journey.Role OverviewWe are in search of a skilled Motor Control Engineer with profound knowledge of motor control and control theory. Your role will be pivotal in enhancing the performance of our robotic actuators. You will be tasked with defining, developing, and fine-tuning motor control strategies that significantly influence torque quality, efficiency, thermal behavior, and overall actuator performance.Collaboration is key in this role as you will work closely with electrical, mechanical, and firmware engineering teams to translate control concepts into effective, real-world actuator performance. Additionally, you will partner with AI and higher-level control engineers to optimize the overall performance of our robotic systems.ResponsibilitiesLead the development and ownership of motor control strategies for robotic actuators.Design, analyze, and refine control loops (current, torque, speed, and higher-level loops).Assess control performance across various operating conditions, including nonlinearities and saturation effects.Collaborate with firmware engineers to implement control algorithms in embedded systems.Work with electrical engineers regarding sensing, actuation, and hardware considerations relevant to control.Support actuator characterization and tuning on dynamometers and test benches.Analyze test data to enhance control performance, robustness, and stability.Document control architectures, foundational assumptions, and tuning methodologies.

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.

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 at latitude as a Senior Software Engineer specializing in Machine Learning Offboarding Models. In this role, you will leverage your expertise in software engineering and machine learning to develop robust models that enhance our offboarding processes. Your contributions will directly impact our operational efficiency and improve user experiences.As a key member of our team, you will collaborate with cross-functional teams to design, implement, and optimize machine learning solutions. We seek a passionate engineer who thrives in a fast-paced environment and is eager to tackle challenging problems.

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.

About ALSOAt ALSO, we are pioneers in electric mobility, founded as part of Rivian. Our dedicated team comprises builders, innovators, and visionaries who are passionate about developing unique, vertically integrated electric vehicles (EVs) that tackle today’s and tomorrow’s mobility challenges. Our goal is to inspire our community to choose ALSO, replacing traditional vehicle miles with more affordable, enjoyable, and efficient alternatives, achieving 10-50 times greater efficiency.The RoleWe are in search of a senior Software Engineer with a strong focus on algorithms, machine learning, and edge AI. In this position, you will decipher ambiguous customer and product requirements, model complex technical problems, and transform solutions into robust, production-ready code that operates seamlessly across mobile, embedded, and cloud platforms.Collaboration is key in this role; you will work closely with Product, Design, Embedded, Mobile, Cloud, Data, Manufacturing, and Systems Engineering teams to make informed architectural decisions regarding algorithm deployment, performance measurement, and continuous improvement.This role is well-suited for an individual who can navigate the entire process from problem definition to modeling, experimentation, implementation, deployment, telemetry, and iteration. You should adeptly balance algorithmic excellence with real-world constraints such as latency, battery life, compute power, bandwidth, reliability, and manufacturability.What You Will DoDesign, develop, deploy, and refine algorithms and machine learning models across mobile, embedded, and cloud environments.Collaborate with Product Managers, Designers, and Engineering stakeholders to convert customer needs into precise algorithmic requirements.Engage with platform and domain experts to effectively deploy algorithms in production and monitor their performance in real-world settings.Conduct performance analysis of models and algorithms through experimentation, A/B testing, shadow testing, telemetry analysis, and offline evaluation.Create and manage input/output data schemas to facilitate efficient edge-to-cloud telemetry, diagnostics, model retraining, and ongoing enhancements.Optimize deployed algorithms for factors such as latency, battery consumption, communication efficiency, robustness, and intended product functionality.Investigate anomalies, failure modes, regressions, and edge cases to enhance algorithm reliability.

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.

Join Klaviyo as a Senior Lead AI Engineer and be at the forefront of creating innovative AI solutions that enhance customer experiences and drive business growth. In this role, you will lead a team of talented engineers, collaborating on cutting-edge AI technologies and methodologies. Your expertise will help shape the future of our AI initiatives, making a significant impact on our product offerings.

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 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.