DESCRIPTION

We are scaling our AI team with mission-driven individuals eager to shape the future of mobility. As a Machine Learning & Computer Vision Analyst, you’ll collaborate closely with our research team to design, build, and optimize data infrastructure and annotation workflows. You will be the focal point between the team and the annotation team, ensuring high-quality labeled data and efficient processes. Additionally, you will help optimize our algorithms, analyze performance metrics, and define optimal operating points to enhance model effectiveness. Your work will directly contribute to pushing the boundaries of Vision AI and advancing our cutting-edge projects.

RESPONSIBILITIES

• Model Evaluation
  Work closely with the research team to evaluate model performance and define optimal operating points using precision, recall, and other ML evaluation metrics.
• Annotation Management
  Be the focal point for annotation processes to ensure high-quality labeled data and streamlined workflows.
• Database Management
  Manage and maintain internal research databases for data-driven decision-making.
• Cloud Infrastructure
  Develop, maintain, and optimize cloud-based data infrastructure (AWS, GCP).
• Benchmarking Framework
  Build and maintain a benchmarking framework for continuous algorithm performance evaluation, including human-in-the-loop pipelines.
• Dataset Curation
  Curate training and testing datasets by querying databases and annotations, and by running data quality and auto-labelling tools.
• Model Execution
  Run algorithms and deep-learning models at scale.

REQUIREMENTS

Technical skills & qualifications

• BA in computer science or other exact science/engineering
  
• 3-5 years of experience
  
• Strong understanding of machine learning concepts and model evaluation techniques, and Computer Vision.
  
• Experience with database management (SQL, NoSQL) and large-scale data processing.
  
• Familiarity with data annotation processes and experience managing labeling teams.
  
• Proficiency in Python and SQL for data manipulation and analysis.
  
• Strong problem-solving skills and ability to work in cross-functional teams.
  
• Experience working with cloud-based data infrastructure (AWS, GCP, or Azure), including provisioning machines for development and multi-GPU training.
  
• Familiarity with data engineering and analytics tools such as Databricks, Spark, and other cloud-based platforms.
  
  

People skills & traits

• Highly organized and methodical, with a strong eye for detail.
  
• Ability to manage complex processes efficiently while ensuring data integrity.
  
• Creative and innovative problem-solving skills with a passion for cutting-edge technologies and product delivery.
  
• Strong team player and self-learner with excellent communication skills.
  
• A “can-do” mindset in a fast-paced environment.
  
  

WHAT WE OFFER

• The chance to have a meaningful and positive impact on roads and cities’ safety
• Flexibility - in schedule, work location, benefits
• Competitive compensation
• A fast-paced work environment full of kind, smart, and highly driven people
• Great professional and personal growth opportunities
• Regular team-building events and well-being initiatives/facilities

WHO WE ARE

Nexar turns cars into vision sensors to understand the world. Its platform powers vision-connected services and apps at scale, making new vision-based applications for better driving, powered by a crowd-sourced vision feed. Using anonymous, aggregated data captured from this network, Nexar has developed a portfolio of vision-based data services for the autonomous vehicle industry and public and private sector partners to make roadways safer and more efficient.

We’re looking for passionate, forward-thinking people to help us execute this incredible opportunity and drive the future of connected driving technology. Join us in shaping a safer, smarter world — more information at https://www.nexar-ai.com/.

Department

R&D

Locations

Tel Aviv-Yafo (IL), Porto (PT)

Remote status

Hybrid

Employment type

Full-time

Already working at Nexar?

Let’s recruit together and find your next colleague.