Senior/Staff Machine Learning Engineer

Posted:
8/27/2024, 12:22:59 PM

Location(s):
California, United States

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning

At Xpeng Robotics Center, we are dedicated to the development of state-of-the-art humanoid robot technology, including robotics locomotion, manipulation, navigation, and human-robot interaction powered by large language models. We possess a world-class team of software and hardware professionals.

As a Machine Learning Engineer with us, you will act as a vital conduit between artificial intelligence and the physical world. You will have the opportunity to make a significant impact in the frontier of humanoid robots, pushing the boundaries of what these technologies can achieve in real-world applications. Join us to shape the future interaction between humans and machines.

Job Responsibilities:

Leverage a variety of cutting-edge machine learning algorithms including end-to-end imitation learning, reinforcement learning, and Large Language Models (LLM) to propel the development of humanoid robots.
Develop algorithms that empower robots to learn and evolve through dynamic interactions with the physical world.
Design machine learning models, refine training and optimization processes, orchestrate deployment strategies, while contributing to collaborative efforts across teams.
Venture into uncharted engineering and technology territories, contribute to direction setting and decision-making processes.

Basic Requirements:

Hold a Master’s degree or higher in Computer Science or a related field. Candidates possessing a strong background in domains such as computer vision, natural language processing, or speech recognition are highly sought after.
Have a robust understanding of foundational machine learning principles and their applications.
Be proficient in programming languages such as Python or C++, coupled with extensive experience in deep learning frameworks such as Pytorch and TensorFlow.
Be humble, open, and demonstrate a commitment to continuous learning and teamwork.

Preferred Qualifications:

Experience with large language models and multimodal large language models, including supervised fine-tuning, orchestration, data generation, and reinforcement learning with human feedback.
Background in robotics manipulation, navigation, or autonomous driving technologies

What do we provide:

A fun, supportive and engaging environment
Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving
Opportunity to work on cutting edge technologies with the top talent in the field
Competitive compensation package
Snacks, lunches, and fun activities

The base salary range for this full-time position is $180,000-$300,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

Xpeng Motors

Website: https://www.xiaopeng.com/

Headquarter Location: Asia-Pacific (APAC)

Employee Count: 10001+

Year Founded: 2014

Industries: Automotive ⋅ Autonomous Vehicles ⋅ Electric Vehicle ⋅ Manufacturing

Senior Machine Learning Engineer

Bazaarvoice • 6/2/2024 ⋅ India

Senior Member of Technical Staff

Cerebras Systems • 7/23/2024 ⋅ India

Senior Machine Learning Researcher

Launch Potato • 10/30/2024 ⋅ Canada

AI / ML Engineer

Accenture • 9/11/2024 ⋅ India

Application Developer

Accenture • 9/26/2024 ⋅ India

Notify

postings

pricing

login