Data Scientist

· Remote

Location

Remote

Type

Full Time

Job Description

Data Scientist

Posted 2 Hours Ago
2 Locations
Hybrid
110K-125K Annually
Junior
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 Data Scientist II will develop and scale vision foundation models using Python and deep learning frameworks. Responsibilities include model development fine-tuning optimizing architectures and implementing algorithms from research for computer vision challenges.
Summary Generated by Built In
What's the role?

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.
Who are you?

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 $110000 to $125000 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

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.

What the Team is Saying

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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

Hybrid Workspace

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

Typical time on-site: 2 days a week
HQAmsterdam NL
JP
Bangkok TH
Bengaluru IN
Berlin DE
Burlington MA
Chicago IL
Eindhoven NL
El Desagüe MX
Frankfurt am Main DE
Gurugram IN
Hanyang KR
Kraków PL
London GB
Melbourne Victoria
Mumbai IN
Navi Mumbai IN
Paris FR
São Paulo BR
Learn more

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Date Posted

05/01/2026

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