Machine Learning Model Evaluation Engineer (Computer Vision)

Description

We are scaling our AI team with mission-driven individuals eager to shape the future of mobility. As a Machine Learning Model Evaluation Engineer (Computer Vision), 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/.

Nexar is a Vision AI company that is organizing the physical world as digital information. We are a global, connected, and intelligent network of mobile cameras on the road that uses data to deliver valuable insights and build transformative products in vehicle autonomy and safety.

Our goal is to be the best car camera service in the world, with a vast network of smart, connected cameras across the planet. We are unlocking the power of connected driving to protect our users and build a lasting business, and this is where you come in!

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.