About
We create bold new ideas for the Volkswagen, Audi, Bentley, Lamborghini, Bugatti and Porsche brands. We’re a team of engineers, designers, scientists, and psychologists looking to develop innovations for future generations of cars, and to transfer technologies from many industries and research institutions into the automotive domain. Our mission is to drive change which means we are not only impacting one of the world’s largest car makers, but also the lives of millions of people.
Position Details:
Location: Belmont, CA (Hybrid Remote)
Type: Full Time
Role Summary
This role will be tasked with applying machine learning/deep learning to the automotive industry. Applications could include autonomous driving, manufacturing, design etc. This is more than a purely academic role – you will likely need to integrate the modules you build into real cars and also think about questions around testability and proving safety. Working in our facility requires a high level of independence and an ability to deal with lots of ambiguity. The incumbent will not be given clear cut projects – instead this individual and subsequent team will be responsible for coming up with the “next big thing” that nobody has thought of as yet, building it and selling it.
Role Responsibilities
Machine Learning Development
- Maintains, as well as furthers, enhances existing machine learning modules for autonomous vehicles.
- Designs and implements new machine learning based approaches based on existing frameworks.
- Keeps up to speed with the state of the art of academic research and technology in the industry.
- Coordinates with engineers at the ICC and in Germany on the development of autonomous driving software.
- Transfers technologies and solutions to Volkswagen Group development divisions.
Process Documentation and Representation
- Develops technical specifications and documentation.
- Represents Volkswagen Group in the technical community, such as at conferences.
Qualifications
- 6 - 8 years of professional experience PREFERRED
- 4+ years’ Deep Learning experience PREFERRED
Education Requirements:
- Master’s Degree in Computer Science or equivalent.
Education Desired
PhD Strongly Preferred.
Skills
- Strong knowledge of different machine learning algorithms.
Required Skills:
Deep Learning:
- Proficiency in deep learning techniques and frameworks
Machine Learning:
- Strong understanding of traditional machine learning algorithms and their applications.
Computer Vision:
- Expertise in computer vision, including object detection, image segmentation, and image recognition
Natural Language Processing (NLP):
- Proficiency in NLP techniques, including sentiment analysis, text generation, and language understanding models. Experience with multimodal language modeling and applications.
Neural Network Architectures:
- Deep understanding of various neural network architectures such as CNNs, RNNs, and Transformers.
Reinforcement Learning:
- Familiarity with reinforcement learning algorithms and their applications in AI.
Data Preprocessing:
- Skills in data cleaning, feature engineering, and data augmentation.
Model Training and Tuning:
- Experience in training, fine-tuning, and optimizing AI models.
Model Deployment:
- Knowledge of model deployment techniques, including containerization (Docker) and orchestration (Kubernetes).
Documentation:
- Strong documentation skills for model architecture, code, and processes.
Desired Skills:
AI Ethics:
- Awareness of ethical considerations in AI, including bias mitigation and fairness.
- Legal and Regulatory Knowledge:
- Understanding of AI-related legal and regulatory considerations, including data privacy and intellectual
- property.
Data Management:
- Proficiency in data storage and management systems, including databases and data lakes.
Cloud Computing:
- Familiarity with cloud platforms like AWS, Azure, or GCP, and their AI services.
Blackstone Talent Group is a division of Blackstone Technology Group, a global IT services and solutions firm that implements technological solutions across commercial industry verticals and the US Federal Government. Blackstone’s global talent augmentation practice was founded in 1998. Blackstone Talent Group has offices in San Francisco, Denver, Houston, Colorado Springs, and Washington, DC. We specialize in providing clients the best talent across a variety of industries and sectors.
EOE of Minorities/Females/Veterans/Disabilities
