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Model maker • sunnyvale ca
- Promoted
Staff Machine Learning Engineer - Foundation Model
XPENGSanta Clara, CA, US- Promoted
Machine Learning Engineer, Staff - Model Factory
d-MatrixSanta Clara, CA, US- Promoted
Sandwich Maker
Ike's Place # 7 Palo AltoPalo Alto, CA, USResearch Lead, Large Language Model(Foundation Model)
TikTokSan Jose- Promoted
Line Cook / Salad Maker
Tender GreensPalo Alto, CA, US- Promoted
Behavioral Health Specialist (PACE Model)
Software Placement GroupAlviso, CA, US- Promoted
Fullstack Engineer, GenAI Model Evaluation
Tesla MotorsPalo Alto, CA, USStudent Researcher (Doubao (Seed) - Foundation Model - Video Generative Model) -
BytedanceSan Jose, CA, United StatesFull Stack Software Engineer - World Model
XaiPalo Alto, California, United StatesFirefly Model Architect
AdobeSan JoseStudent Researcher (Doubao (Seed) - Foundation Model - Video Generative Model) -
ByteDanceSan Jose, CA, United States- Promoted
Principal Applied Scientist, Delivery Foundation Model
AmazonSanta Clara, CA, United States- Promoted
NPI CNC Machinist (Model Maker)
Keysight Technologies, Inc.Santa Clara, CA, US- Promoted
Manager, Risk Model Governance
BILLSan Jose, CA, USStudent Researcher (Doubao (Seed) - Foundation Model - Video Generative Model) -
MediabistroSan Jose, CA, United States- dentist (from $ 183,150 to $ 250,000 year)
- general dentist (from $ 230,000 to $ 250,000 year)
- technical director (from $ 102,500 to $ 243,250 year)
- digital artist (from $ 190,783 to $ 243,100 year)
- medical director (from $ 172,500 to $ 242,000 year)
- computer engineer (from $ 148,200 to $ 241,000 year)
- database engineer (from $ 100,425 to $ 240,000 year)
- engineering director (from $ 187,500 to $ 240,000 year)
- product director (from $ 180,000 to $ 238,642 year)
- embedded systems engineer (from $ 163,500 to $ 234,000 year)
The average salary range is between $ 50,700 and $ 86,500 year , with the average salary hovering around $ 61,118 year .
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Staff Machine Learning Engineer - Foundation Model
XPENGSanta Clara, CA, US- Full-time
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
We are looking for a full-time Machine Learning Engineer, with deep knowledge and strong enthusiasm towards establishing a state-of-art ML infrastructure for training very large foundation model and accelerating model training / inference.
Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.
Job Responsibilities :
- Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles.
Minimum Skill Requirements :
Preferred Skill Requirements :
What do we provide :
The base salary range for this full-time position is $215,280-$364,320, 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.