Software Engineer - Machine Learning Data
On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers to join our team and contribute in advancing our machine learning (ML) data pipelines. Our large-scale data pipelines are critical for efficient end-to-end ML development (e.g. data analytics, data transformation, model training, and model evaluation) of our on-car and off-car perception solutions. What you’ll be doing: Support the creation, maintenance, and optimization of our internal data, training & evaluation pipelines Participate in design reviews and code reviews of the said team-owned pipelines Work closely with ML engineers to enhance tools and processes throughout the ML development lifecycle Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance.. What We’re Looking for: Bachelor Degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field 2+ years of professional experience in software engineering Fluency in Python, including standard scientific computing libraries and Python bindings development experience Expertise in concurrency, parallel processing, and database systems. Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods Bonus Points: Proven track record of developing and deploying perception systems for autonomous vehicles or robotics Experience with deep learning frameworks such as Pytorch Experience with distributed computing frameworks like K8s and Ray. Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter , LinkedIn , Instagram and YouTube . Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.