Senior Machine Learning Engineer

Job not on LinkedIn

🕒 June 25

🏄 California – Remote

🏄 California – Remote

💵 $290k - $359.6k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

General Motors

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1908

🚘 Automotive

🏭 Manufacturing

🚗 Transport

💰 $500M Grant on 2024-07

Automotive • Manufacturing • Transport

General Motors is a leading multinational corporation in the automotive industry, committed to creating a future with zero crashes, zero emissions, and zero congestion. With operations and facilities worldwide, GM focuses on innovation across various areas including engineering, manufacturing, and information technology. The company emphasizes diversity, inclusion, and the development of sustainable technologies to shape the future of mobility.

📋 Description

• Research, design, develop and test robotic and machine learning applications for an AV company. • Contribute to the complete machine learning cycle: data collection, labeling, processing, algorithm design, model training, and evaluation. • Formulate problem statements specific to autonomous operations and design innovative solutions to address them. • Design novel machine learning models and algorithms, including new deep learning architectures, loss functions, and training protocols. • Utilize advanced machine learning techniques such as convolutional neural networks and Generative AI to enhance object detection and perception. • Work on improving perception properties of detected objects, such as their kinematics, intent, and short-term trajectory predictions. • Develop and implement novel solutions to integrate multiple sensors (e.g., Camera, RADAR, LiDAR) and other contextual information like High Definition Maps and temporal streams of data. • Collaborate with the team to ensure the safe and efficient operation of autonomous vehicles. • Provide support on debugging real-time issues on the ride-hail fleet that are due to perception related problems.

🎯 Requirements

• Master's degree in Data Science, Aerospace Engineering, Automotive Engineering, Computer Engineering, Robotics or a related field • Three (3) years of experience in Machine Learning Engineer, Computer Vision Engineer, Systems Engineer, Software Engineer, Data Scientist or related occupations • Radar Perception using AI (artificial intelligence) • Monocular 3D object detection • Autonomous Vehicle Sensor Fusion • Data Structures and Python, C++, and ROS programming • Machine Learning Model Optimization • Developing Auto-Labeling Techniques • Large-Scale Data Generation and Analytics • Experience with Utilizing Advanced Mathematical Concepts to develop and refine Machine Learning Models.

🏖️ Benefits

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.