Principal Data Scientist, Gen AI and Vision

What's the role?:

We are hiring a Principal Data Scientist to lead advanced generative AI and computer vision work across simulation-grounded visual systems, structured-control generation, and production-oriented AI products. This person will help define and build model capabilities that sit at the intersection of generative modeling, scene understanding, controllability, and applied computer vision.

This is a senior technical role for someone who can move from early research ambiguity to production-quality model systems while maintaining a high bar for technical depth, rigor, and practical value.

This role is intended for someone who can own a major technical pillar, set direction for that domain, and raise the standard for how advanced AI systems are built and shipped.

What You Will Own

Own the model strategy and technical direction for advanced generative and multimodal vision systems

Set the research and engineering agenda for model adaptation, evaluation, and production readiness within this domain

Define how model inputs, controls, outputs, and interfaces are represented and integrated into downstream systems

Improve realism, controllability, temporal consistency, robustness, and deployment readiness over time

Work closely with evaluation, simulation, and platform engineers to define durable interfaces between research systems and production workflows

Drive model benchmarking, ablation studies, model-selection decisions, and the path from pre-trained baselines to production-ready capability

Raise the bar for technical quality, architecture, and execution within the model stack

What You Will Do

Build and evolve end-to-end model workflows for complex vision and generative AI systems

Identify and reduce failure modes such as structural drift, temporal instability, inconsistent outputs, and production fragility

Define the fine-tuning, adaptation, or hybrid-model strategy when pre-trained models do not meet product requirements out of the box

Partner with the evaluation lead to establish quality metrics, release gates, and production-readiness criteria

Help shape the roadmap from initial prototypes to scalable AI capabilities across perception, generation, and related vision tasks

Contribute to deployment decisions around model packaging, inference optimization, and production performance tradeoffs

Mentor other scientists and act as the senior technical owner for the model domain

Who are you?:

What We Are Looking For:

Deep experience in generative modeling for video, world models, diffusion models, multimodal systems, or adjacent advanced vision domains

Evidence of principal-level scope through technical leadership, research impact, architectural ownership, or shipped systems

Strong background in PyTorch and modern model training, fine-tuning, evaluation, and inference workflows

Experience adapting large pre-trained models to domain-specific use cases and hard production constraints

Good judgment on model quality, controllability, reliability, and deployment tradeoffs

Ability to work across research and engineering boundaries in a small, hands-on team

Education & Experience

Master’s or PhD in Computer Science, AI, Machine Learning, or related field.

10+ years of experience in deep learning, computer vision, or multimodal AI.

Nice To Have

Experience with synthetic data, robotics, perception systems, geospatial AI, autonomous systems, or advanced mapping products

Familiarity with conditioning mechanisms, structured control inputs, simulation-grounded models, or controllable generation

Experience running large-model inference, optimization, or fine-tuning on AWS GPU infrastructure

Experience taking research models into production environments

The expected base salary range for this position is $195,000 to $210,000 per year. Actual compensation will be based on factors such as skills and experience. This position is also eligible for an annual performance bonus, which is subject to company and individual performance.

Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies.

As part of HERE Technologies employment process, candidates will be required to successfully complete a background verification process. Offers of employment and any related claims are subject to the successful completion of a background verification. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records.

#LI-REMOTE

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.