- Define and execute the AI/ML strategy, technical vision, and roadmap, identifying high-impact opportunities across machine learning, generative AI, automation, computer vision, large language models, agentic AI, and advanced analytics.
- Lead the design, development, deployment, and operation of scalable AI/ML products and platforms that support map editing and mapmaking workflows.
- Establish engineering practices for MLOps, model governance, testing, observability, security, and responsible AI, while supporting reliability, performance, scalability, and maintainability.
- Guide and mentor data scientists and engineering teams through coaching, workshops, technical discussions, and shared learning opportunities.
- Evaluate emerging technologies, tools, platforms, and potential strategic partnerships that can advance HERE’s AI/ML capabilities.
- Lead multidisciplinary initiatives, translate business needs into practical AI/ML solutions, and collaborate with management, customers, and vendors to support informed decisions and measurable results.
- Contribute technical insight to product and organizational strategies while representing HERE’s AI/ML capabilities with internal and external stakeholders.
Who are you?You bring a structured, collaborative approach to solving complex technical problems and a strong interest in using AI and engineering to improve productivity while preserving data quality and integrity
- BS or MS degree in Computer Science, Statistics, or similar field.
- 12 to 18 years of industry working experience with expertise in data science and analytic methods such as regression, classifiers, clustering, association rules, Bayesian statistics, etc. - multiple areas
- Proficiency in Python and/or C++, preferably on Linux.
- Experience working with deep learning frameworks like PyTorch, TensorFlow, MxNet, ONNX, and Caffe.
- Proven track record of successfully leading projects.
- Strong mentoring and coaching skills with a demonstrated history of developing junior and mid-level data scientists.
- Strong negotiation skills, with a history of influencing senior management and external partners.
- Exceptional communication skills with the ability to convey complex topics in a clear and engaging manner.
- Shape AI/ML capabilities that contribute directly to the evolution of HERE’s mapmaking products and services.
- Work on complex technical challenges involving machine learning, generative AI, computer vision, automation, and large-scale engineering platforms.
- Collaborate with multidisciplinary teams, customers, partners, and technical specialists.
- Support an environment that values knowledge sharing, professional development, and continuous learning.
- Contribute to technology that helps improve how people, businesses, and cities navigate and manage the world.
HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.
Who are we?HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.
You will join a team transforming map creation and maintenance through artificial intelligence and machine learning. The team develops intelligent editing, moderation, validation, quality assurance, and autonomous workflow capabilities designed to improve the productivity, quality, scalability, and speed of mapmaking operations.
Skills Required
- Bachelor’s or master’s degree in Computer Science, Statistics, or a related field
- 12 to 18 years of industry experience
- Expertise in data science and analytical methods, including regression, classification, clustering, association rules, and Bayesian statistics
- Proficiency in Python and/or C++
- Experience working with PyTorch, TensorFlow, MXNet, ONNX, and Caffe
- Proven track record of successfully leading projects
- Strong mentoring and coaching skills, including developing junior and mid-level data scientists
- Strong negotiation and senior stakeholder influence skills
- Exceptional communication skills and ability to explain complex topics clearly
- Experience working on Linux
HERE Technologies Compensation & Benefits Highlights
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Healthcare Strength — Health, dental, and vision coverage are consistently described as solid core offerings, and feedback suggests premiums and coverage are generally competitive. Employer materials and employee accounts align that comprehensive medical benefits are a dependable part of the package.
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Leave & Time Off Breadth — Paid time off, flexible vacation arrangements, and options like sabbaticals and volunteer leave are highlighted frequently. Feedback suggests these policies meaningfully support work-life balance, though utilization can depend on team workload and manager approval.
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Wellbeing & Lifestyle Benefits — Depending on location, employees point to transportation subsidies, fitness programs, subsidized meals, and paid volunteer time as valuable extras. Feedback suggests these perks enhance overall lifestyle and complement the core benefits.
HERE Technologies Insights
What We Do
HERE Technologies is a location data and technology company that created the first digital map over 35 years ago. Today we are the world's leading location platform company with a global footprint across 52 countries. Although our strongest presence is in the automotive industry, we also work with leading companies across a wide range of industries, including transport and logistics, mobility, manufacturing and retail and the public sector.
Why Work With Us
At HERE, we're always excited about discovering people who share our passion for building innovative solutions that make the world easier to navigate. We believe our success is powered by our team's diversity, creativity and collaboration and we're always looking for opportunities to grow it further.
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HERE Technologies Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.

