AI Engineer
Description For AI Engineer
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.
We are seeking highly motivated AI engineers with software development experience 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.
As an AI Engineer at Sonatus, you will:
- 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.
- Apply strong domain expertise in AI areas including LLM, Computer Vision, Time Series, RAG, fine-tuning large models, and traditional ML models.
- Stay current with industry trends and advancements in data science and AI technologies.
- Perform data analysis and offer insights to inform business decisions across multiple domains.
- Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions.
- Take charge of projects, ensuring timely completion in a dynamic work environment.
We offer a competitive compensation package, including equity, comprehensive health benefits, retirement plans, unlimited PTO, and various perks such as complimentary lunches, wellness benefits, and employee engagement programs.
Join us if you're ready to take your career to the next level and make a difference in the automotive industry's digital transformation.
Responsibilities For AI Engineer
- 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.
- Apply strong domain expertise in AI areas including LLM, Computer Vision, Time Series, RAG, fine-tune large models, traditional ML models, etc.
- Stay current with industry trends and advancements in data science and AI technologies.
- 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.
Requirements For AI Engineer
- Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required.
- Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in 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) and proficiency in SQL.
- Solid experience in data preprocessing, feature engineering, and model evaluation techniques.
- Strong knowledge of software development best practices, version control systems, and agile methodologies.
- Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.
- Experience in the automotive industry is highly desirable.
Benefits For AI Engineer
- Competitive compensation and equity program
- Health care plan (Medical, Dental & Vision)
- Flexible and Dependent Care Expense program
- Retirement plan (401k)
- Life Insurance (Basic, Voluntary & AD&D)
- Unlimited paid time off per year
- Hybrid office work arrangement/flexibility
- Complimentary lunches, snacks, and beverages during on-site working days
- Wellness benefit allowances (towards gym membership and fitness programs)
- Internet reimbursement
- Computer Accessory Allowance
- Departmental team building and outings
- Employee Referral Program
- Culture/Employee Satisfaction Surveys
- Peer Award Program (monthly)
- Innovative Award Program (annual)
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