In this role you will build the core AI building blocks models, agents, and retrieval components that domain teams consume rather than rebuild, and provides hands-on technical leadership for the engineers building alongside them. In addition you will:
Build Core AI Components
- Own end-to-end delivery of core building blocks e.g., the representation-retrieval critical path (embeddings, similarity search, semantics) that other domain teams call into.
- Take architectural direction from the Principal/Lead Engineer and turn it into a working, production-ready component — not just a prototype.
Technical Leadership Without Full Architectural Ownership
- Provide day-to-day technical leadership for AI/ML Engineer II and Geo AI Engineer II team members working on related components.
- Make implementation-level technical calls independently; escalate genuine architectural questions to the Principal/Lead rather than deciding them ad hoc.
Bridging Architecture and Execution
- Translate the Principal/Lead's architectural decisions into concrete technical specs the rest of the team can build against.
- Flag early when a building block being built won't actually generalize across domain teams, before it ships.
You are a fast learner, with an eye for detail, strong problem-solving and debugging skills, and a passion for applying AI to complex engineering problems. In addition you have the following qualifications:
- Bachelor’s, Master’s degree or PHD in Computer Science, AI/ML, Mathematics, or a related quantitative field.
- Candidates with a Bachelor’s or Master's should have 7+ years of experience, including demonstrated technical leadership.
- Ph.D. holders may have 6+ years of relevant experience, including demonstrated technical leadership.
- Proven track record of leading the design and delivery of production ML systems end to end, and setting technical direction that other engineers build on.
- Deep expertise in representation learning and embeddings, vector similarity search, and retrieval-augmented approaches able to architect the foundation-model core, not just contribute to it.
- Strong command of ML fundamentals, including regression, classification, forecasting, and model interpretability.
- Hands-on experience with deep learning architectures such as CNN, LSTM, GRU, GANs, BERT, Diffusion Models, and Transformers.
- Substantial experience with LLMs (e.g., GPT-3/4, Claude, Mistral) and architecting agent-based solutions using frameworks like LangGraph, CrewAI, or AutoGen.
- Multimodal / vision-language model experience jointly encoding imagery with text or structured data at an architectural level.
- Proficiency in Python; familiarity with other programming languages like C++ or Java is a plus.
- Fluency with ML frameworks such as PyTorch, TensorFlow, scikit-learn, and experience working with large datasets and distributed systems.
- A track record of making independent architectural decisions, defending them with evidence, and holding a high measurement bar for whether systems actually work.
- Demonstrated ability to mentor senior engineers and lead cross-functional, agile teams.
What we offer
HERE offers an opportunity to work in a cutting-edge technology environment with challenging problems to solve! You can make a direct impact on delivery of company´s strategic goals and the freedom to decide how to perform your work. We will support you in delivering your day-to-day tasks and achieving your personal goals and developing your skills. Personal development is highly encouraged at HERE. You can take different courses and training at our online Learning Campus and join cross-functional team projects within our Talent Platform.
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.
In this role you will be part of AI infrastructure and analytics vertical, which builds and supporst AI/ML infrastructure and workflows that can be used across teams, with solutions designed to scale.
Skills Required
- Bachelor's, Master's degree, or PhD in Computer Science, AI/ML, Mathematics, or a related quantitative field
- Bachelor's or Master's degree holders must have 7+ years of experience, including demonstrated technical leadership
- PhD holders must have 6+ years of relevant experience, including demonstrated technical leadership
- Track record of leading the end-to-end design and delivery of production ML systems
- Deep expertise in representation learning, embeddings, vector similarity search, and retrieval-augmented approaches
- Strong command of ML fundamentals, including regression, classification, forecasting, and model interpretability
- Hands-on experience with CNN, LSTM, GRU, GAN, BERT, diffusion, and Transformer architectures
- Substantial experience with LLMs and agent-based solutions
- Experience with multimodal or vision-language models
- Proficiency in Python
- Experience with PyTorch, TensorFlow, and scikit-learn
- Experience working with large datasets and distributed systems
- Ability to make independent technical and architectural decisions using evidence
- Ability to mentor senior engineers and lead cross-functional agile teams
- Familiarity with C++ or Java
HERE Technologies Compensation & Benefits Highlights
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Leave & Time Off Breadth — Time off is a standout, with generous vacation policies, discretionary/unlimited PTO in the U.S., and options like sabbaticals and volunteer time off. Employees also highlight hybrid-friendly practices that make taking time off practical.
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Healthcare Strength — Health coverage is often characterized as solid, with mentions of decent plans and, in some cases, low premiums. Ancillary benefits such as vision, HSA, life insurance, and AD&D are also cited positively.
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Flexible Benefits — Work flexibility is consistently emphasized through hybrid schedules and remote options. Formal “Flexi Work Options” and remote-work allowances in some regions reinforce this strength.
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.

