Research Engineer – Machine Learning & Robotics

Jumio; Lenexa (KS); On-site; USD 110,000 - 150,000; Full time

Job summary

Jumio is seeking a Research Engineer in Lenexa, KS to design and scale robotic data collection and ML workflows. You will work with ROS/ROS2, build data pipelines, and contribute to model development for production deployments. Early-career engineers are encouraged to apply.

You will collaborate across ML, software, product, and research teams to improve data quality, system performance, and end-to-end AI capabilities for identity verification and biometrics projects.

Qualifications

• Bachelor’s or Master’s degree in CS/Robotics/EE/ML.
• 1–2 years in ML, robotics, or computer vision.
• Hands-on ROS/ROS2 experience with navigation/manipulation modules.
• Strong Python and C++ programming with well-documented code.
• Experience with databases and building data pipelines for training/evaluation.
• Experience implementing ML models in Python with PyTorch/TensorFlow/scikit-learn.

Responsibilities

• Build and integrate ROS/ROS2 modules for navigation and data collection.
• Replicate mobile/web UI environments in robotic testing.
• Build and maintain training/test datasets from manipulators and apps.
• Mine and analyze data from internal databases to drive insights.
• Develop tooling to monitor data quality and model performance in production.
• Implement end-to-end ML workflows: data prep, training, testing, deployment.
• Write clean, modular C++ and Python code for cross-team reuse.
• Collaborate with ML, software, research and product teams to improve systems.

Skills

ROS/ROS2

Python

C++

Machine learning

Data pipelines

Databases

Robotics

Education

Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or ML

Tools

PyTorch

TensorFlow

scikit-learn

ROS

Job description

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 Jumio’s 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

• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field.
• 1–2 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:

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, we’re 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 Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to [e-mail].