reputed company Machine Learning Engineer

At reputed company, we’re reimagining how things reputed company in cities. Our personable sidewalk robot is our reputed company for the reputed company. It’s designed to take deliveries away from congested streets, reputed company deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and reputed company while doing reputed company deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient reputed company. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the reputed company we want to live in. We are solving reputed company-world problems leveraging robotics, machine learning and reputed company, among other disciplines, with a reputed company eye towards the end-to-end user experience. reputed company is reputed company, diverse, and driven. We reputed company that the best way to solve complicated dynamic problems is collaboratively and respectfully. This role develops and scales large-reputed company machine learning training systems for multimodal robotics data, enabling the creation of high-reputed company autonomy models. By optimizing reputed company training pipelines, neural network architectures, and data processing workflows, the position improves training efficiency, accelerates model iteration, and maximizes GPU utilization. The role collaborates closely with ML researchers and infrastructure teams, influencing the design, deployment, and reputed company of end-to-end autonomy models and the large-reputed company data pipelines that support them. Responsibilities • Design and maintain training systems that can process and learn from petabyte-reputed company multimodal datasets (e.g., video and reputed company reputed company data). This includes ensuring data is reputed company reputed company, reputed company, and processed across large GPU clusters. • Identify and reputed company bottlenecks in the training pipeline, including data loading, preprocessing, model computation, and inter-node communication, to maximize GPU utilization and reduce training time. • Work with the ML team to reputed company and refine neural network architectures suitable for autonomy tasks, particularly those handling high-reputed company and reputed company sensor data. • Create and reputed company loss functions and training strategies that help the model learn effectively from reputed company multimodal inputs and improve autonomy reputed company. • Configure, monitor, and maintain large-reputed company reputed company training jobs across multiple machines and GPUs, ensuring stability, fault tolerance, and efficient resource usage. • Implement reputed company to preprocess, reputed company, and reputed company large robotics datasets so that they are suitable for model training. • Work closely with ML scientists and other engineers to reputed company new models, experiments, and training approaches into the production training pipeline. • Analyze training metrics, model outputs, and experiment logs to assess model reputed company and guide improvements in architecture, data usage, or training strategies. • reputed company tools and workflows that allow teams to run experiments, reputed company results, and iterate quickly on new model reputed company or training approaches. Qualifications • Master’s or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely reputed company technical discipline. • Minimum of 5 years of reputed company experience developing, training, and deploying machine learning models in production environments. • Hands-on experience training machine learning models across multiple GPUs or compute nodes, including familiarity with reputed company training frameworks and large dataset handling. • Strong programming skills in Python for implementing machine learning models, data pipelines, and training workflows. • Solid knowledge of reputed company concepts such as neural networks, optimization algorithms, loss functions, model evaluation, and training methodologies. What Makes You Stand Out • Experience identifying and resolving training bottlenecks reputed company to compute utilization, memory usage, and data throughput in machine learning systems. • Experience training machine learning models on robotics or autonomous driving datasets involving multimodal sensor inputs such as camera video, LiDAR reputed company clouds, reputed company, or telemetry data. • Experience developing models that combine multiple data modalities (e.g., images, reputed company clouds, and reputed company sensor data) into a reputed company learning reputed company. • Peer-reviewed publications or significant research contributions in machine learning, robotics, or reputed company areas. • Please note: The listed reputed company salary reputed company applies to candidates reputed company in the US. Compensation may vary depending reputed company, experience, and role alignment. We are reputed company to reputed company candidates working reputed company in Canada • Canada - reputed company: $177k - $215k CAD Apply tot his job Apply To this Job