Shape and evangelize the technical truth (e.g., model choices, logic and intent) for AI capabilities from early concepts through launch, aligning with overall technology strategy and AI business goals, market trends, and customer needs
Deeply understand AI and ML advances, navigate ambiguity and make thoughtful trade-offs in both 0 to 1 and ongoing lifecycle management environments to identify opportunities where AI can help address value-driven and real-world use case for industrial customers
Source emerging AI technologies for Industrial AI applications
Proactively identify and help mitigate technical risks, and ensure quality, safety, and reliability best practices
Partnering cross-functionally, drive the creation of technical AI requirements documents and end-to-end technical roadmap, prioritizing features, data constraints, model performance, and requirements based on customer use cases, scientific and technological advancements, and broader industrial sector analysis
Define, monitor and report on key value-driven AI capability metrics and determine necessary data-driven insights to evaluate performance and inform future decisions
Strong technical, analytical and problem-solving skills with a data-driven approach to decisions
Ensure AI capabilities are industrial sector relevant and adhere to safety, security, governance and regulatory standards
Provide leadership and mentorship to junior team members; foster a culture of innovation and continuous improvement

Requirements

12+ years of experience with at least 5 years in an AI technical leadership role for both emerging 0 to 1 and established AI capabilities
Recent experience with modern AI paradigms such as: world models, foundation models, and multi-modal language models; agent-based systems and orchestration; and context retrieval and augmentation techniques
Experience in responsible deployment practices, model drift mitigation, privacy-preserving federating learning, and AI governance best practices
Exceptional technical background with deep intuition for AI in highly regulated industries and proven experience having recently shipped code or emerging AI capabilities to production
Excellent judgment in prioritizing between emerging AI technologies and existing ones for right-sized and industrial sector relevant features, architectural improvements and revenue entitlement
Expertise in Python and deep experience with deep learning frameworks (e.g., Jax, TensorFlow, PyTorch) and state-of-the-art ML techniques (building, training, evaluating, deploying ML models)
Exceptional leadership and communication skills, with the ability to influence cross-functional and matrixed teams, and present complex technical information clearly to both technical and non-technical audiences
Master's degree in Computer Science, Physics, Engineering or a related technical field; Ph. D degree preferred

Benefits

Flex work hours
20 days PTO rising to 25 with service
three paid volunteering days
primary and secondary parental leave
well-being support
medical
dental
vision
401K

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AIMLPythondeep learning frameworksJaxTensorFlowPyTorchmodel drift mitigationprivacy-preserving federated learningAI governance

Soft Skills

technical leadershipanalytical skillsproblem-solving skillsjudgmentcommunication skillsinfluencementorshipinnovationcontinuous improvementcross-functional collaboration

Certifications

Master's degree in Computer ScienceMaster's degree in PhysicsMaster's degree in EngineeringPh.D. degree