We are looking for a Senior ML/AI Engineer to join our Technology Innovation Lab, a cross-disciplinary team driving advanced AI and intelligent automation across HERE. In this role, you will design and implement state-of-the-art machine learning systems with a focus on Agentic AI, Generative AI, and foundational ML techniques to power next-gen applications.

You will collaborate closely with technical leads, researchers, and engineers to build prototypes that solve real-world spatial, operational, and knowledge-driven challenges using intelligent agents and large-scale AI models.

• Architect and build AI-first systems using Large Language Models (LLMs), Autonomous Multi-Agent Architectures, and Classical ML models such as regression, clustering, XGBoost, SVM, and tree-based learners.
• Lead the development of Agentic AI solutions, including task orchestration, memory/context management, tool invocation, and human-agent collaboration using frameworks like LangGraph, CrewAI, and AutoGen.
• Design and deliver end-to-end Generative AI applications for text generation, summarization, code synthesis, image generation, and multi-modal interfaces, optimizing prompt engineering and model fine-tuning.
• Apply deep learning techniques including CNNs, RNNs (LSTM, GRU), GANs, Diffusion Models, Transformers, and Graph Neural Networks for real-world tasks in vision, language, and planning.
• Collaborate across teams to translate domain problems into scalable, explainable, and production-ready AI solutions, incorporating responsible AI principles.
• Stay at the forefront of AI research by evaluating and implementing emerging LLM models, agentic frameworks, and open-source innovations, ensuring technical currency in a fast-evolving space.
• Design and lead experiments across advanced AI/ML areas including computer vision, NLP, LLMs, and emerging domains like quantum computing (good to have), distributed computing, 3D modeling, AR/VR, and LiDAR/drone data processing.
• Write efficient, production-quality code using Python, with working knowledge of C++ or Java where needed; leverage frameworks like PyTorch, TensorFlow, and Spark for large-scale ML training and inference.
• Define and track KPIs at both individual and business unit levels in partnership with the manager, ensuring impact-driven innovation.
• Support and mentor engineers and data scientists in best practices related to prompt design, agent workflows, evaluation frameworks, and research translation.
• Contribute to HERE’s innovation footprint through patents, internal IP development, and peer-reviewed publications.

• Master’s degree or Ph.D. in Computer Science, AI/ML, Mathematics, or a related field.

  • Candidates with a Master’s should have 5–7 years of experience.

  • Ph.D. holders may have 3–5 years of relevant experience.

• Strong understanding 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.

• Experience working with LLMs (e.g., GPT-3/4, Claude, Mistral) and building prompt-based or agent-based solutions.

• Proficiency in Python and familiarity with other programming languages like C++ or Java is a plus.

• Familiarity with ML frameworks such as PyTorch, TensorFlow, scikit-learn, and experience working with large datasets and distributed systems.

• Curiosity and exposure to adjacent technologies like TinyML, Quantum Computing, or 3D modeling/AR is an advantage.

• Excellent problem-solving skills and the ability to work in cross-functional, agile teams.

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.