Note: The job is a remote job and is open to candidates in USA. HERE Technologies is a location data and technology platform company. They are hiring a Principal Data Scientist to lead advanced generative AI and computer vision work across simulation-grounded visual systems and production-oriented AI products.
Responsibilities
- 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
- 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
Skills
- 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
- 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
- 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
Benefits
- Annual performance bonus, which is subject to company and individual performance
- Health (Medical/Dental/Vision) insurance
- Retirement savings plans
- Paid time off & leave policies
Company Overview