Sr Data Scientist

· Remote

Location

Remote

Type

Full Time

Job Description

HERE TechnologiesJobs
Sr Data Scientist

Sr Data Scientist

Reposted 3 Hours Ago
Home WA USA
Hybrid
140K-160K Annually
Senior level
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
We make a unified map designed for every moving vehicle
The Role
The role involves designing and deploying computer vision and machine learning models to extract features from satellite imagery collaborating with different teams and ensuring high standards in map data quality.
Summary Generated by Built In
What's the role?

We are looking for a Senior Applied Data Scientist to drive the development of large‑scale computer vision and machine learning solutions that automatically extract high‑fidelity map features from Aerial and Satellite imagery. In this role you will leverage vision foundation models deep learning and geospatial analytics to power HERE’s global mapmaking products.

You will work on cutting‑edge problems such as automated extraction of road & lane boundary and buildings operating at planetary scale with diverse imagery sources and conditions. This position sits at the intersection of AI research and production systems with direct impact on HERE’s next‑generation maps used by millions worldwide.


Key responsibilities

  • Design develop and deploy computer vision and machine learning models to automatically extract map‑observable features from satellite imagery.
  • Leverage and adapt vision foundation models and modern deep learning techniques for geospatial feature extraction at global scale.
  • Build scalable production‑ready ML pipelines that process large volumes of satellite imagery with high accuracy and efficiency.
  • Integrate ML outputs into HERE’s mapmaking systems ensuring alignment with cartographic quality consistency and accuracy standards.
  • Address real‑world geospatial challenges such as variable imagery resolution diverse sensors regional differences and environmental conditions.
  • Define evaluation metrics conduct experiments and drive continuous improvement of model performance and map data quality.
  • Collaborate cross‑functionally with data engineering mapping and product teams to translate business needs into ML solutions.


Who are you?

Qualifications

  • Master’s or PhD in Computer Science Machine Learning Data Science Geomatics Remote Sensing or related field (or equivalent practical experience).
  • hands‑on experience applying machine learning or computer vision to real‑world production problems.
  • Strong expertise in deep learning for images including CNNs transformers and large vision models.
  • Practical experience working with satellite or aerial imagery geospatial data or remote sensing datasets.
  • Proficiency in Python and major ML frameworks (e.g. PyTorch TensorFlow).
  • Experience designing experiments evaluating model quality and driving continuous improvement in deployed systems.

Preferred Qualifications

  • Experience with vision foundation models or large‑scale pre‑trained models for imagery.
  • Knowledge of geospatial data formats coordinate systems and spatial analysis.
  • Experience processing data at global or near‑global scale.
  • Familiarity with MLOps model monitoring and lifecycle management in production.
  • Contributions to published research patents or open‑source projects in computer vision or GeoAI.


The expected base salary range for this position is $140000 to $160000 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. 


#LI-AG3

#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.

Skills Required

  • Master's or PhD in Computer Science Machine Learning Data Science Geomatics Remote Sensing or related field
  • Hands-on experience applying machine learning or computer vision to real-world production problems
  • Strong expertise in deep learning for images including CNNs transformers and large vision models
  • Practical experience working with satellite or aerial imagery geospatial data or remote sensing datasets
  • Proficiency in Python and major ML frameworks (e.g. PyTorch TensorFlow)
  • Experience designing experiments evaluating model quality and driving continuous improvement in deployed systems

What the Team is Saying

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HERE Technologies Compensation & Benefits Highlights

  • Leave & Time Off BreadthTime off programs span generous vacation and paid holidays paid parental leave a sabbatical option and volunteer time off. Flexible scheduling and hybrid/remote options also support taking time away when needed.
  • Healthcare StrengthHealthcare coverage spans medical dental vision life and disability insurance with flexible spending accounts and mental‑health resources. Wellness offerings such as on‑site gyms sports teams and programs complement the core plans.
  • Flexible BenefitsWork models include hybrid and remote options with flexible hours and home‑office support. This flexibility is positioned to help balance productivity and personal needs.

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The Company
HQ: Amsterdam
6000 Employees
Year Founded: 1985

What We Do

HERE Technologies is a location data and technology company that created the first digital map over 35 years ago. Today we are the world's leading location platform company with a global footprint across 52 countries. Although our strongest presence is in the automotive industry we also work with leading companies across a wide range of industries including transport and logistics mobility manufacturing and retail and the public sector.

Why Work With Us

At HERE we're always excited about discovering people who share our passion for building innovative solutions that make the world easier to navigate. We believe our success is powered by our team's diversity creativity and collaboration and we're always looking for opportunities to grow it further.

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HERE Technologies Offices

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Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week
HQAmsterdam NL
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London GB
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Date Posted

05/07/2026

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