Job Description: AI Engineer

Position Overview

• Location Type: Hybrid (Onsite 3 days/week in Sunnyvale HQ)
• Job Type: Full-time
• Salary: Not specified

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 is seeking a highly motivated AI engineer to join our team and help us accelerate software innovations for next-generation software-defined vehicles. We are passionate about putting our customers first and creating products that solve real-world problems. We embrace a hybrid work environment and require this person to come into our Sunnyvale HQ 3 days a week to collaborate with peers and management.

Responsibilities

• Lead efforts to leverage existing AI models and frameworks to solve complex business challenges.
• Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services (AI breadth).
• Demonstrate strong domain expertise in AI areas including LLM, Computer Vision, Time Series, RAG, fine-tuning large models, traditional ML models, etc. (AI depth).
• Stay current with industry trends and advancements in data science and AI technologies (State-of-the-Art).
• Perform data analysis and offer insights to inform business decisions across multiple domains.
• Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information.
• Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions.
• Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations.
• Take charge of projects, ensuring timely completion in a dynamic work environment.

Qualifications and Experience

• Education:
  • Bachelor degree in Computer Science, Engineering, Mathematics, Applied Sciences, or similar field.
  • Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred.
• Technical Skills:
  • Strong programming skills in languages such as Python, Java, or C++.
  • Hands-on experience with relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms.
  • Experience with data engineering/processing frameworks (e.g., Databricks, Spark, Dataflow).
  • Proficiency in SQL.
  • Solid experience in data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
  • Strong knowledge of software development best practices and version control.