AI Engineer

Found in: Jooble US O C2 - 2 weeks ago

Sunnyvale CA, United States Sonatus Full time

Sonatus is a well-funded, fast-paced, and fast-growing company whose technologies and software help automakers build dynamic software-defined vehicles. With two generations of solutions already on the road with a top global OEM, our vehicle and cloud software solutions are at the forefront of the digital transformation of vehicles. The Sonatus team is a talented and diverse collection of technology and automotive specialists hailing from many of the most prominent companies in their respective industries.
Sonatus seeks a highly motivated AI engineer to join our team and help us accelerate software innovations for next-generation software-defined vehicles. Location-wise, candidates should already reside within the SF/Bay Area, CA region as we promote a hybrid work model with 2-3 days in office requirements (for synergy, collaboration, engagement, and camaraderie with peers and management).
Fine-tune and optimize existing AI models for specific use cases and applications.
When necessary, develop custom solutions using AI techniques such as machine learning, deep learning, natural language processing, and computer vision.
Work closely with data scientists and software engineers to integrate AI solutions into existing systems and workflows.
Continuously monitor and evaluate the performance of deployed AI models and make improvements as necessary.
Document and communicate technical designs, processes, and best practices.
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Master's or PhD preferred.
Strong programming skills in languages such as Python, Java, or C++.
In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., Experience with data preprocessing, feature engineering, and model evaluation techniques.
Proficiency in software development best practices, version control systems, and agile methodologies.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Experience in the Automotive Industry is highly desireable

Health care plan (Medical, Dental & Vision)
- Flexible and Dependent Care Expense program
- Retirement plan (401k)
- Hybrid office work arrangement/flexibility
Complimentary lunches, snacks, and beverages during on-site working days
- Internet reimbursement
- Computer Accessory Allowance
Departmental team building and outings
- Culture/Employee Satisfaction Surveys - Feedback matters
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