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Assistant Deep Learning Jobs (NOW HIRING)

Woven

$77K - $105K/yr

AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software ... Deep understanding of runtime complexity, distributed/cloud ML infrastructure, data pipeline ...

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Senior Machine Learning Engineer, Simulation

Santa Clara, CA • On-site

PlusAI
See more jobs at PlusAIexternal

$130K - $200K/yr

Full-time

Retirement

Re-posted 12 days ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

We are seeking a Senior Machine Learning Engineer with expertise in deep learning and data analysis. In this role, you will apply data-driven techniques to develop high-fidelity, scalable vehicle simulation models tailored to various vehicle platforms. You will collaborate with cross-functional teams to advance autonomous driving technology and drive innovation in simulation and model development.
Responsibilities:
  • Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques.
  • Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy.
  • Integrate the data-driven models into simulation pipelines with seamless compatibility.
  • Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates.
  • Collaborate with cross-disciplinary teams to reproduce and resolve issues encountered during real-world road tests.
  • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
  • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
Required Skills:
  • MS (with 3+ years of relevant experience) or PhD new grad in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.
  • Extensive experience applying deep learning techniques to time series forecasting and data analysis.
  • Proficient in Python with experience working in large codebases.
  • Excellent communication skills and the ability to collaborate effectively in a team setting.
  • Familiarity with state-of-the-art deep learning models and their applications.
  • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
Preferred Skills
  • Proficient in C++
  • Background in autonomous vehicle prediction, planning, and control
  • Strong understanding of conventional vehicle dynamics modeling
  • Experience with autonomous vehicle or robotics simulation and related concepts
 
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.