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.
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.
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.
