Remote Jobs at Motional

Candidates should possess a Bachelor’s degree, Master’s degree, or a PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or a related field, or equivalent industry experience. They should have an in-depth understanding of common Machine Learning and Deep Learning algorithms, and experience designing, training, and analyzing neural networks for applications such as object detection, semantic segmentation, visual classification, motion recognition, sensor fusion, a…

Candidates should possess a Master's or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field, or equivalent industry experience. They must have a strong leadership ability in executing large, complex technical initiatives, an in-depth understanding of common Machine Learning and Deep Learning algorithms, and experience with designing, training, and analyzing neural networks for applications such as object detection, semantic/instance…

Candidates should possess a Master's or Ph.D. in Computer Science or a related technical field, or equivalent industry experience, along with proven leadership skills in executing large, complex technical initiatives. Extensive experience managing and leading engineers is required, alongside fluency in Python and standard scientific computing libraries, and a track record of designing, developing, and deploying ML solutions for autonomous vehicles or robotics. Advanced knowledge of software engi…

Candidates should possess a Master’s or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or a related field, or equivalent industry experience. They must have an in-depth understanding of common Machine Learning and Deep Learning algorithms, and experience designing, training, and analyzing neural networks for applications such as motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking. Strong track record of tackling …

Candidates should possess a Master’s or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or a related field, or equivalent industry experience. They must have an in-depth understanding of common Machine Learning and Deep Learning algorithms, along with experience designing, training, and analyzing neural networks for applications such as object detection, semantic segmentation, visual classification, and motion prediction. Strong knowledge of software engineer…

- BA, Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or a related field; or equivalent industry experience - In-depth understanding of common Machine Learning and Deep Learning algorithms - Experience designing, training, and analyzing neural networks for at least one of the following applications: Object detection, Semantic/instance segmentation, Visual classification, Motion/gesture recognition, Sensor fusion, Multitask learning, Motion predicti…

Candidates should possess 5+ years of professional experience as a data engineer or data pipeline engineer, holding a Bachelor’s or Master’s degree in Computer Science or a related field, and demonstrating expertise in Python programming along with proficiency in AWS services such as EKS, Lambda, and ETL. Experience with distributed system design and development, and leading projects from end to end is also required.

- 5+ years of professional experience as a data engineer or data pipeline engineer - BS or MS in Computer Science or related field - Expertise with Python programming - Expertise with AWS services and solutions (EKS, Lambda, ETL) - Experience with distributed system design and development - Strong written and oral communication skills - Comfortable working in a fast-paced, continuous delivery environment

Candidates should possess 5+ years of professional experience as a data pipeline engineer, along with a Bachelor's or Master's degree in Computer Science or a related field. Expertise in distributed data processing frameworks like Spark, Flink, or Beam is required, as is proficiency in programming languages such as Java, Python, or Go. Experience with AWS services and cloud-native backend software development is preferred, and familiarity with Kubernetes is considered a strong asset.

- Experience with creating detailed requirements from use cases - Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution - Experience writing software for embedded platforms in C and C++ - Experience with TDD - unit tests and integration tests - Experience working with embedded Linux / RTOSs - Experience working with networks (Ethernet, CAN etc.) and the common networking protocols - Experience with debugging on embedded platforms - Exp…

Candidates should possess 5+ years of software development experience with Python preferred, and 5+ years of web backend development experience with REST APIs and microservices. A Bachelor’s or Master’s degree in Computer Science or a related field is required, along with 3+ years of AWS cloud experience utilizing services such as DynamoDB, API Gateway, EKS, Lambda, OpenSearch, Redshift, and S3, and 3+ years of data engineering experience with Airflow, Argo, or AWS Step Functions. Strong written…

Candidates should possess a Bachelor's degree in computer science or a related field, along with 3+ years of experience architecting and shipping high-performance and large-scale distributed systems. They should have experience deploying vision language models (VLMs) or large-scale vision encoders in production settings, and a solid understanding of software engineering principles including software design patterns, configuration management, source control, build processes, code reviews, testin…

Candidates should possess a Master's or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field, or equivalent industry experience. They must have at least 3 years of experience with deep learning frameworks such as Pytorch, strong programming skills in C++, TensorRT, and/or CUDA programming, and fluency in Python, including standard scientific computing libraries and Python bindings development experience. A proven track record of deve…

Candidates should possess 15+ years of software engineering experience with architecture-level ownership in ML, data infrastructure, or high-scale systems, along with proven experience leading the design of ML platforms that serve large-scale training and inference workloads. Strong technical fluency in distributed storage, high-volume data pipelines, and data compression strategies for ML use cases is required, as is knowledge of Linux systems, Python, and C++ or similar performance-oriented la…

Candidates should possess a Master’s or Ph.D. in Computer Science or a related technical field, or equivalent industry experience. Proven leadership skills are required, demonstrating the ability to execute large, complex technical initiatives and manage and lead engineers. Extensive experience with deep learning frameworks such as TensorFlow or PyTorch, fluency in Python, including standard scientific computing libraries, and a proven track record of designing, developing, and deploying ML solu…