Data Scientist

As Data Scientist II you have 1-2 years of experience, specializing in Vision Foundation Models develops and scales large-scale visual, multimodal, or generative models (like ViT, SAM, DinoV3) using Python and PyTorch/TensorFlow. Responsibilities include pre-training, fine-tuning, and optimizing model architectures for perception and reasoning. Requires experience in self-supervised learning, computer vision, and deploying high-performance models. Your role includes:

• Model Development: Design, train, and scale vision foundation models across image and video modalities.
• Fine-tuning & Adaptation: Utilize transfer learning, fine-tuning, and adapter methods to adapt models to specific downstream tasks.
• Pipeline Engineering: Create efficient data pipelines and pre-training strategies for large-scale datasets.
• Optimization: Optimize model architecture, training efficiency, latency, and throughput.
• Research to Production: Implement novel algorithms from research papers to solve real-world computer vision challenges.
• Evaluation: Implement evaluation frameworks (e.g., using LLM-as-a-judge or traditional metrics) to measure model performance and quality.

Skills and Qualifications

• Technical Proficiencies: Advanced proficiency in Python and deep learning frameworks like PyTorch.
• Vision Expertise: Strong understanding of Computer Vision techniques, Vision Transformers (ViT), and self-supervised learning.
• Model Experience: Hands-on experience with foundational model architectures (e.g., SAM, DinoV3).
• Data Handling: Experience handling large-scale, unstructured datasets.
• Education & Experience: Typically requires a Master's or above in Computer Science, AI, or related fields.
• Performance Optimization: Experience with CUDA for performance optimization.

Preferred Qualifications

• Experience with generative models or diffusion models.
• Knowledge of Multimodal Learning (image and text/video).
• Experience with edge AI deployment.
• Experience with database management and optimization, with a strong preference on PostgreSQL / PostGIS.

The expected base salary range for this position is $110,000 to $125,000 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. 

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.  

Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA, we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team. 

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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.