Top AI & Machine Learning Jobs

Define and drive architecture for visual-to-map pipelines, combining imagery, 3D modeling, and AI. Lead scalable processing and serving systems, standardize USD scene representations, advance 3D modeling algorithms, and mentor engineering and architecture teams while aligning platform work with ADAS, digital twin, and map product needs.

The role involves developing and optimizing perception models for ADAS/AD, ensuring performance on embedded hardware, and translating research into production pipelines.

Lead the design, development, deployment, and maintenance of large-scale ML and analytics solutions for global map-making. Build predictive and statistical models, drive process automation using big-data infrastructure, lead data science teams on Core Map projects, and communicate technical value to stakeholders.

Lead enterprise AI strategy and execution, build and scale LLM-powered applications and agentic systems, define AI engineering standards, partner across teams to deploy production-grade AI solutions, ensure governance, security, and measurable business outcomes.

Lead design, development, and deployment of production-grade ML models and pipelines for HD maps and ADAS. Own end-to-end ML architecture, implement MLOps, integrate ML outputs into map workflows, mentor engineers, conduct reviews, and drive adoption of generative, agentic, computer vision and NLP techniques for scalable, production-ready systems.

The Agentic AI Data Scientist will drive learning and optimization of AI systems, focusing on signal extraction, training data generation, and evaluation metrics, while collaborating with teams to improve logistics outcomes.

The Lead AI & Data Engineer will develop and enhance data engineering and analytics capabilities, focusing on scalable data ingestion, transformation, and integration with GenAI tools, while ensuring data quality and collaborating with cross-functional teams.

Design and implement map and location quality testing: create experimental and sampling plans, develop ML models and statistical metrics, build data/computing tools, collaborate with stakeholders, present methods and results, and lead end-to-end quality evaluation processes.

The Principal AI/ML Engineer will lead the architecture and development of HERE's Agentic AI Framework, focusing on delivering scalable agent-based systems, mentoring engineers, and influencing multiple teams.

The role involves building AI solutions for logistics, focusing on designing production-grade systems, problem-solving, and technical ownership without people management responsibilities.