Senior Machine Learning Engineer, Self-Driving Hardware
Welcome to Tesla! We are a team of passionate individuals dedicated to revolutionizing the way people drive and transport. We are seeking a Senior Machine Learning Engineer to join our Self-Driving Hardware team and help us bring our vision to life. As a Senior Machine Learning Engineer, you will be responsible for developing and implementing cutting-edge algorithms and techniques for our self-driving hardware, working alongside some of the brightest minds in the industry. We are looking for an experienced and driven individual with a strong background in machine learning and a passion for self-driving technology. If you have a proven track record of delivering innovative solutions and thrive in a fast-paced, dynamic environment, we want to hear from you!
- Develop and implement advanced machine learning algorithms and techniques for self-driving hardware.
- Collaborate with cross-functional teams to ensure alignment and integration of machine learning solutions.
- Stay up-to-date with industry advancements and trends in machine learning to drive continuous innovation.
- Work closely with the hardware engineering team to optimize algorithms for performance and efficiency.
- Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability.
- Provide technical guidance and mentorship to more junior members of the team.
- Identify and troubleshoot any issues or challenges in the development and implementation of machine learning solutions.
- Communicate progress, results, and insights to stakeholders in a clear and concise manner.
- Contribute to the development and maintenance of internal processes and standards for machine learning.
- Continuously seek out opportunities for improvement and optimization in the self-driving hardware system.
- Participate in research and development activities to support the overall goals and objectives of the team.
- Represent Tesla as a thought leader in machine learning and self-driving technology.
Extensive Experience In Machine Learning And Deep Learning Techniques, With A Strong Understanding Of Computer Vision And Sensor Fusion For Autonomous Driving Systems.
Proficiency In Programming Languages Commonly Used In Machine Learning, Such As Python, C++, And Java, As Well As Experience Working With Frameworks Like Tensorflow, Keras, And Pytorch.
Demonstrated Ability To Design And Implement Complex Algorithms And Models For Real-Time Decision Making In Autonomous Systems, Including Experience With Reinforcement Learning And Neural Networks.
Experience With Hardware Development And Integration, Including Knowledge Of Sensors, Cameras, Lidar, And Radar Systems Used In Autonomous Driving Applications.
Strong Problem-Solving Skills And The Ability To Work Independently And Collaboratively In A Fast-Paced And Dynamic Environment, With A Track Record Of Delivering High-Quality Results On Challenging Projects.
Data Analysis
Big Data
Deep Learning
Computer Vision
Natural language processing
Statistical modeling
Machine learning algorithms
Sensor fusion
reinforcement learning
Neural Networks
Autonomous Driving
Communication
Conflict Resolution
Leadership
Time management
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a Senior Machine Learning Engineer, Self-Driving Hardware in Austin, TX, USA is between $130,000 to $180,000 per year, with a median salary of $155,000 per year. This may vary depending on the specific company, level of experience, and other factors such as bonuses and benefits.
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Tesla, Inc., is an American electric vehicle and clean energy company based in Palo Alto, California. The company specializes in electric vehicle manufacturing, battery energy storage from home to grid scale and, through its acquisition of SolarCity, solar panel and solar roof tile manufacturing.
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