AI Developer Sr (Remote)

Develop and implement the strategic vision for AI applications within Toyota, ensuring alignment with corporate objectives and driving transformative innovation across multiple business units. Provide expert technical guidance in machine learning, deep learning, hardware engineering, and software engineering, ensuring adherence to best practices while fostering a culture of continuous improvement and innovation. Collaborate closely with senior leadership, product managers, and key stakeholders to identify high-impact AI opportunities, define comprehensive project requirements, and effectively communicate progress and outcomes. Advise on architectural designs and establish technical requirements for scalable AI-oriented software systems. Contribute to codebases for several different software projects and build infrastructure for new AI tools throughout the enterprise. Work within a small team of engineers in a fast-paced environment to turn new AI research into real products and services. Bachelor's degree or similar education in computer science, natural sciences, mathematics, statistics, engineering, or equivalent work experience. Minimum of 3 years of experience in engineering autonomous systems or equivalent experience in vehicle engineering, cloud engineering, or software engineering. Proficiency in programming languages such as Python, Java, Javascript, or C++. Demonstrated ability to lead and mentor technical teams, fostering a collaborative and innovative work environment. Fluency in Terraform, AWS, Google Cloud, or Microsoft Azure and experiencing building infrastructure and tooling for cloud-based software. Experience in Agile methodologies and project management tools (e.g., Jira, Trello) to effectively manage project timelines and deliverables. Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders. Experience and demonstrated track record of building and deploying hardware or software for AI training or autonomous systems. Strong background in computer vision, natural language processing, autonomous driving, robotics, or general engineering of autonomous systems. Experience translating AI-related research into products through software engineering. Passion for advancing the state of technology for the automotive industry and teaching AI to others. Experience in distilling feature requests from customers into technical requirements for an engineering team. Relevant certifications in AI, machine learning, or project management (e.g., AWS Certified Machine Learning, PMP). Understanding of ethical considerations and regulatory requirements related to AI technologies. Familiarity with AI applications in the automotive industry or related fields, including autonomous systems, predictive maintenance, and customer experience enhancement. Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Fluency with cybersecurity tools and best practices for AI models, cloud systems, or vehicle software. Experience training and fine-tuning deep learning models. Experience overseeing budget allocations for engineering projects and forecasting financials for product development lifecycles. Fluency in a vector database service like Pinecone or AWS OpenSearch. Experience in manufacturing or vehicle production plants. Experience with data processing tools and techniques. Understanding of object manipulation, CAD, or physics-based deep learning systems. Proficiency in CUDA and/or training deep learning models with on-premise hardware. Experience in building agentic mechanisms, MCP servers, and other LLM-based tools. Fluency in human factors design and UI/UX standards for modern software applications. Strong background working with users to understand usage and frustration signals to help inform product adjustments. Proficiency in the use and design of modern generative AI tools, including large language models, vision-language models, vision-language action models.