What's the role?

We are looking for a AI/ML Engineer II 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.

• Contribute to the development of AI-first systems using Large Language Models (LLMs), Classical ML algorithms (e.g., regression, clustering, XGBoost), and deep learning architectures.

• Support the design and development of Agentic AI solutions, working alongside senior engineers using frameworks such as LangGraph, CrewAI, and AutoGen, with exposure to task decomposition, tool use, and memory-based agents.

• Build components of Generative AI applications for tasks such as text generation, summarization, code generation, and image generation using pre-trained models.

• Implement and test deep learning models such as CNNs, RNNs (LSTM, GRU), Transformers, and GANs for use cases in NLP, Computer Vision, or multi-modal learning.

• Translate research insights into code by collaborating with technical leads and researchers to prototype innovative AI workflows.

• Write well-structured, clean, and efficient code in Python, and contribute to model training and deployment workflows using PyTorch, TensorFlow, or related tools.

• Work with big data tools like Spark, PySpark, or distributed systems to process large-scale datasets for ML training or inference.

• Contribute to code reviews, documentation, and testing to ensure code quality and reproducibility.

• Stay up to date with recent developments in LLMs, agentic systems, and generative AI technologies through reading, experimentation, and internal knowledge sharing.

Who are you?

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

  • 1+ years of relevant experience in AI/ML roles (or strong internship/project experience for early-stage professionals).

• Strong foundation in machine learning and deep learning, including familiarity with classical models (e.g., regression, SVM, decision trees) and DL architectures (CNN, RNN, Transformers).

• Exposure to LLMs (e.g., GPT, Claude, LLaMA) and interest in building prompt-based or agentic systems.

• Basic experience with frameworks such as LangGraph, CrewAI, or custom agent frameworks is a plus.

• Solid programming skills in Python, with working knowledge of C++ or Java as a bonus.

• Hands-on experience with PyTorch, TensorFlow, or scikit-learn for model development.

• Familiarity with tools like Spark, Ray, or Hadoop for handling large datasets.

• A passion for exploring emerging AI areas such as Generative AI, Autonomous Agents, Quantum AI, or 3D/AR/VR modeling (nice to have).

• Demonstrated experience in academic projects, internships, open-source contributions, or collaborative research initiatives.