Computer Vision & ML Engineer for Robotics Autonomy

Rfamec; Urbandale (IA); On-site; USD 70,000 - 140,000; Full time

Benefits offered by this job

Health Insurance

401k Plan

Paid Time Off

Vision & Dental

Employee Assistance

Job summary

RFA Engineering is seeking a Software Engineer in Robotics, Perception, Vision Processing and Machine Learning to architect, develop and integrate new intelligent features for agricultural and off-highway equipment.

The role focuses on machine learning, computer vision, and autonomy with production-ready implementations; you will work with camera, Lidar and edge devices and contribute to cutting-edge AI for industrial applications.

Qualifications

• Experience with data visualization, data management, data querying (eg SQL, Tableau, PowerBI, matplotlib).
• Experience developing and understanding computer vision and machine learning algorithms (models development in pytorch, tensorflow).
• Ability to quickly learn state of the art technologies, state of the art research in the domains of computer vision, AI, robotics and be able to implement.
• Competent in generating, interpreting, and communicating statistical data well and measuring the right statistics to answer the right questions.
• Proficiency in C++ and/or Python.
• Experience with Databricks, AWS, cloud.

Responsibilities

• Develop machine learning and computer vision algorithms for automation and autonomy product development.
• Design, implement, and optimize machine learning algorithms and computer vision solutions for production intent hardware. Work with Stereo, monocular cameras, Lidar, radar, edge compute devices.
• Data collection and processing for CVML algorithms development. Utilize data-driven insights to inform your development process and improve models/algorithms.
• Quickly learn new technologies, tools, and methodologies in computer vision and machine learning; stay current with research and share insights with the team.
• Primary needs relating to theoretical geometric computer vision (eg singleton localization, SLAM, triangulation, projection geometry, feature detection, depth estimation, camera models/calibration).
• Secondary needs relating to ML algorithm development (model definition, data prep, architecture design, training, evaluation, deployment).

Skills

C++

Python

PyTorch

TensorFlow

Data visualization

SQL

Tableau

PowerBI

AWS

Databricks

Education

Bachelor's degree in Computer Engineering

Bachelor's degree in Electrical Engineering

Bachelor's degree in Software Engineering

Tools

Databricks

AWS

Job description

RFA Engineering is seeking a Software Engineer in Robotics, Perception, Vision Processing and Machine Learning to architect, develop and integrate new intelligent features for agricultural and off-highway equipment.

The role focuses on machine learning, computer vision, and autonomy with production-ready implementations; you will work with camera, Lidar and edge devices and contribute to cutting-edge AI for industrial applications.