Job Description

What's the role?:

HERE is looking for a highly skilled and visionary

Lead AI/ML Engineer

to join our

Technology Innovation Lab

--a team dedicated to pushing the boundaries of what's possible with AI. You will lead the development of intelligent systems powered by

Generative AI

,

Agentic AI

, and

Classical Machine Learning

, driving innovation across real-world applications.
This role demands both

hands-on technical depth

and

strategic thinking

. You will architect intelligent workflows involving

autonomous agents

, build scalable ML systems, and integrate next-gen AI capabilities into prototypes that shape the future of HERE

Key Responsibilities

Architect and build AI-first systems using

Large Language Models (LLMs)

,

Autonomous Multi-Agent Frameworks

, and

Classical ML models

. Lead development of

Agentic AI solutions

, including task orchestration, memory management, tool use, and human-agent feedback loops. Drive end-to-end GenAI applications including

text generation, summarization, image synthesis

, code generation, and multi-modal interfaces. Mentor a team of data scientists and engineers; define best practices in

prompt engineering

,

agent collaboration

, and

evaluation frameworks

. Collaborate with cross-functional teams to transform domain problems into scalable AI solutions. Stay current with and evaluate emerging tools, models, and open-source projects in

LLMs, LangGraph, CrewAI, AutoGen

, and related ecosystems. Identify opportunities for innovation and contribute to publications, patents, or internal IP generation. Design experiments and stay up-to-date with industry inventions in AI/ML (focus on LLM, NLP, Computer vision), quantum computing( good to have), location

intelligence, distributed computing, LiDAR and drone processing, 3D modeling and AR/VR(good to have), emphasizing the engineering aspect of technological advancements. Relevant experience in deep learning, LLM based models, neural network, transformers and diffusion model with good coding and mathematical experience.
Ensure solutions are scalable, explainable, and aligned with responsible AI principles. Work with the Manager to Identify and Define lead KPIs related to effective assessment of performance at individual level and impact assessment of innovation implementation at business unit level.



Who are you?:

Master's or Ph.D.

in

Computer Science, Mathematics, Machine Learning, AI

, or other related quantitative fields. + Candidates with a

Ph.D.

may have

5+ years

of relevant experience.
+ Candidates with a

Master's

degree should have

7+ years

of industry experience in AI/ML roles.
Demonstrated expertise in

Agentic AI systems

--experience building, deploying, or designing autonomous multi-agent frameworks (e.g.,

LangGraph, CrewAI, AutoGen, OpenAgents

). + Ability to design agents with

tool use, memory, planning, reflection, and task decomposition

capabilities.
+ Exposure to Mission Control Platforms (MCPs) or centralized agent orchestration is a plus.
Strong applied knowledge in

Machine Learning, Deep Learning, and Computer Vision

, including architectures such as

CNNs, RNNs, GANs, Transformers

, and

Diffusion Models

. Practical experience with

Large Language Models (LLMs)

such as

GPT-3/4, Claude, Mistral, LLaMA

, including techniques like

prompt engineering

,

fine-tuning

, or

embedding-based retrieval

. Strong programming background in

Python

(required), and working knowledge of

C++

,

Java

, or similar languages for scalable ML systems and software implementation. Hands-on exposure to

distributed systems

,

high-performance computing

, or

big data tools

like

Spark, Ray, Hadoop

, or

PySpark

. Previous participation in

internships, research collaborations, or volunteering

with professionals in AI/ML domains, showing the ability to apply academic learning to real-world problems. Demonstrated ability to innovate in emerging fields with a

creative, first-principles approach

to problem-solving. Curiosity and openness to explore future-facing domains like

Quantum AI

,

TinyML

,

Edge Intelligence

, or

3D Spatial Modeling

.



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.