Latitude AIRemote
Senior Software Engineer - Scalable Machine Learning
United States of America
Full Time
5 days ago
$179,000 - $269,000 USD
H1B Sponsored
Key skills
Machine learning data pipelinesDistributed model trainingDistributed systemsCloud infrastructurePythonC++MLOps practicesModel artifact managementExperiment trackingAutomated model deploymentMulti-sensor data fusionPyTorchRayDagsterLakeFSPyArrowSafety-critical software developmentComputer visionL2/L3 autonomyCAIMachine LearningMLComputer VisionMLOps
About this role
Latitude AI develops automated driving technologies, including L3, for Ford vehicles at scale. As a Senior Software Engineer in the Scalable ML team, you will design and implement cloud services for data management and workflow orchestration, while collaborating with cross-functional teams to enhance machine learning model efficiency.
Responsibilities:
- Design, and implement state-of-the-art cloud services for data ingest, workflow orchestration, and distributed training at scale
- Develop solutions to generate, manage, and process large amounts of multi-sensor training data for machine learning
- Drive advanced MLOps practices, including model artifact management, experiment tracking, and automated model deployment and testing strategies
- Collaborate closely with cross-functional teams, perception experts, and roboticists to integrate ML pipelines and ensure the delivery of high-quality, production-ready software
- Mentor junior engineers and provide technical guidance to elevate the team's software development standards
Requirements:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
- Strong track record of successfully delivering complex software projects from conception to production
- Proven expertise in developing and optimizing machine learning data pipelines, data generation, and distributed model training
- Experience designing, building, and operating large-scale distributed systems and cloud infrastructure
- Strong proficiency in Python and/or C++ for developing high-performance, production-quality software
- Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field
- Hands-on experience with distributed machine learning frameworks and tools such as Ray, PyTorch, Dagster, LakeFS, or PyArrow
- Experience with multi-sensor data fusion and processing techniques relevant to autonomous driving applications
- Familiarity with safety-critical software development principles in automotive or robotics domains
- Deep understanding of machine learning concepts, computer vision use cases, and the challenges of L2/L3 autonomy