Now landing your favorite ML job at Tesla might be closer than you think! Read to learn more.
If working at Tesla is one of your dream jobs then here’s your chance. Tesla is hiring artificial intelligence and machine learning engineers and if you think you have done exceptional work in software, hardware, or AI then you may directly apply with your CV by visiting the official Tesla website. While you may be wondering what qualifies to be called “exceptional work” then the CEO, Elon Musk himself has provided a tip. In one of his tweets, Musk said, “As always, Tesla is looking for hardcore AI engineers who care about solving problems that directly affect people’s lives in a major way.”
Tesla has scope for machine learning engineers who are interested in working in developing Full Self-Driving (FSD) chips, Dojo systems, Neural Networks, Autonomy Algorithms, and coding. If given a chance you may be part of the Tesla Bot project as well. In another tweet, Elon Musk clarified that he is fine with hiring people without AI background too. “A background in “AI” is not needed, just exceptional skill in software or computer design,” he said. On the other hand, the Tesla website job posting has described that the company is looking for mechanical, electrical, controls, and software engineers to help leverage its AI expertise beyond the vehicle fleet.
For “hardcore coders”, Tesla wants engineers who can build Autopilot software foundations up from the lowest levels of the stack, tightly integrating with Tesla’s custom hardware. The company aims to Implement super-reliable bootloaders with support for over-the-air updates and bring up customized Linux kernels. It wants the ML engineers to write fast, memory-efficient low-level code to capture high-frequency, high-volume data from the sensors, and to share it with multiple consumer processes without impacting central memory access latency or starving critical functional code from CPU cycles.
Another special job related to machine learning in Tesla is Autopilot Simulation Deep Learning Engineers. Autopilot is of critical importance to Tesla’s mission. It is safer, makes driving more enjoyable, and will ultimately deliver on the promise of self-driving cars. As a member of Tesla’s Autopilot Simulation team, you will be in a unique position to accelerate the pace at which Autopilot improves over time. The Simulation team realizes these goals through generating synthetic datasets for neural network training, building tools that enable Autopilot software developers to perform virtual test drives instead of real ones, and through testing all Autopilot code changes and software releases for regressive behavior.
As an Autopilot Simulation Deep Learning Engineer, you will contribute to the development of Autopilot simulation by enabling and accelerating the creation of photorealistic 3D scenes through neural rendering, neural animation, and scene/object reconstruction. You will be at the cutting edge of deep learning applications and will train neural networks on a cluster in large-scale distributed settings as Tesla has one of the biggest training clusters in the world. You will have tremendous reach and autonomy, with an exciting opportunity to impact Tesla’s goal of full self-driving and its mission to accelerate the world’s transition to sustainable energy. As the machine learning engineer, you will be a creative self-starter with an ability to self-assign projects across different areas of the Autopilot team. You will also have the opportunity to identify gaps between real and simulated environments, and then you will get to close those gaps through state-of-the-art machine learning/deep learning methods.
More Trending Stories
How do Crypto Organizational Investors File IT Returns in India?
Computers as Poets: OpenAI’s Algorithmic Poetry
Fact Check: SpaceX and its AI Capabilities Outperforming NASA?
How Neural Networks Do Better in Business and Enterprises?
Watch Out for the Top 10 GPT-3 Alternatives you Should Try in 2022
