Latitude AI, a Ford Motor Company subsidiary, is seeking a Senior Software Engineer for their ML Data Platform team. This role is crucial in developing cloud-based products and services that support large-scale data processing and generation for self-driving vehicles. The ideal candidate will have 4+ years of full-stack software engineering experience, strong skills in Python, and familiarity with cloud infrastructure and machine learning technologies.
As a Senior Software Engineer, you'll be responsible for designing and implementing critical services for dataset generation, machine learning training, and large-scale data management. You'll work on workflow automation, high-performance computing environments, and integrate custom web applications for building domain-specific datasets. The role requires collaboration with various internal teams to identify new products, requirements, and features.
Key responsibilities include solving complex problems at scale, enhancing products that support multiple initiatives, modeling automated workflows, and ensuring a cohesive user experience across platforms. You'll also be involved in integrating internal products with third-party services and supporting services in production.
The ideal candidate should have a Bachelor's degree in a relevant field with 4+ years of experience (or equivalent advanced degree), strong communication and problem-solving skills, and experience with Python, SQL databases, and cloud infrastructure. Knowledge of distributed machine learning, file systems, and high-performance computing environments is also valuable.
Latitude AI offers a competitive salary range of $170,560-$234,520 USD for this position in California, along with a comprehensive benefits package including health insurance, 401(k) matching, paid leave, and various wellness and professional development programs. The company values diversity and is committed to creating an inclusive work environment. This is an excellent opportunity for those passionate about automated driving technology and eager to make a significant impact on the future of transportation.