Research Engineer – Machine Learning & Robotics

Role Purpose

Jumio is looking for a Research Engineer with a foundation in machine learning robotics and data infrastructure to help build and scale the systems used for data collection model development and product improvement.

This role sits at the intersection of robotics computer vision and applied machine learning. You will work hands-on with robotic systems ROS/ROS2-based modules mobile data collection workflows and ML pipelines that support training evaluation and production model performance. This is a strong opportunity for a new graduate or early-career engineer who wants to build practical systems that directly improve real-world AI products.

Role Value

High-quality data and reliable model evaluation infrastructure are critical to improving Jumios machine learning and computer vision capabilities. This role helps ensure that data collected from robotic systems and mobile applications is usable scalable and connected to the broader model development lifecycle.

The Research Engineer will support both the robotics/data collection environment and the ML development workflow helping the team move faster improve model quality and better understand model performance in production.

Example Responsibilities

• Build and integrate ROS/ROS2-based modules to support robotic navigation manipulation and data collection workflows.
• Replicate and integrate mobile and web UI environments into robotic testing and data collection systems.
• Build maintain and improve training and test datasets collected through robotic manipulators and in-house iOS and Android applications.
• Mine query and analyze data from internal databases to create features identify trends and generate insights that improve product and model development.
• Develop tools and processes to monitor data quality model performance and model accuracy in production environments.
• Implement end-to-end machine learning workflows including data preparation model training testing evaluation and deployment support.
• Write clean modular well-documented C and Python code that can be maintained and extended by other engineers.
• Collaborate cross-functionally with machine learning engineering product and research teams to improve data collection model development and system performance.

Required Experience

• Bachelors or Masters degree in Computer Science Robotics Electrical Engineering Machine Learning or a related technical field.
• 12 years of relevant industry internship or research experience in machine learning robotics computer vision or related technical areas.
• Hands-on experience with ROS and/or ROS2 including building or integrating modules for robot navigation manipulation simulation or data collection.
• Strong foundation in machine learning fundamentals with experience implementing models in Python using frameworks such as PyTorch TensorFlow scikit-learn or similar.
• Experience working with databases writing queries and building or maintaining data pipelines for training testing or evaluation.
• Strong programming skills in Python and C with an emphasis on clean reliable well-documented code.
• Ability to work hands-on with physical hardware debug system behavior and translate research or prototype work into scalable engineering solutions.

Nice to Have

• Experience with robotic manipulators mobile robot platforms or lab-based robotic systems.
• Familiarity with iOS and/or Android development especially for hardware-integrated data collection applications.
• Experience with data collection pipelines for computer vision biometric systems identity verification or similar applied AI domains.
• Exposure to production ML observability model monitoring drift detection or data quality monitoring tools.
• Familiarity with cloud platforms such as AWS including S3 EC2 SageMaker or similar tools for storage compute and model deployment.
• Experience working in cross-functional environments with machine learning engineers software engineers researchers and product teams.

Jumio Values:

IDEAL: Integrity Diversity Empowerment Accountability Leading Innovation

Equal Opportunities:

Jumio is a collaboration of people with different ideas strengths interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.

About Jumio:

Jumio is a B2B technology company dedicated to eradicating online identity fraud money laundering and other financial crimes to help make the internet safer. We leverage AI biometrics machine learning liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.

Jumio is the leading provider of online identity verification eKYC and AML solutions. With a global footprint were expanding the team to meet strong client demand across a range of industries including Financial Services Travel Sharing Economy Fintech Gaming and others.

Applicant Data Privacy

We will only use your personal information in connection with Jumios application recruitment and hiring processes as described in Jumios Applicant Privacy Notice. If you have any questions or comments please send an email to .