Stem Holdings jobs in San Francisco, CA

Senior Staff / AI Engineer Join a high-performing team that's redefining what cars can do in the era of Software-Defined Vehicles (SDV). We're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust us to accelerate this shift. Our technology is already in production across more than 5 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, we combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. The Opportunity Our partner is seeking a highly motivated Senior 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. Role and 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). Strong domain expertise in the AI area including LLM. Computer Vision, Time Series, RAG, fine-tune 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. Requirements 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. 5+ years of professional experience working with machine learning algorithms, AI technologies, and platforms. Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn). 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. 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, version control systems, and agile methodologies. Results-driven with a positive can-do attitude and excellent problem-solving skills. 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 Offered: 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, 15 paid holidays Hybrid office work arrangement/flexibility Perk Offerings include: Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowances (towards gym membership and fitness programs) Internet reimbursement Computer Accessory Allowance