AI/ML Systems Engineer — Wireless Signaling & Performance

Jobtailor; California (MO); On-site; USD 95,000 - 135,000; Full time

Job summary

Jobtailor is seeking a skilled ML/AI software engineer to develop, deploy, and optimize signaling data solutions using TensorFlow, PyTorch, and related tools. You will work across the software stack in an Agile setting and mentor junior teammates while maintaining high standards of code quality and performance.

The ideal candidate has 3+ years with ML libraries, strong Python/C++ programming, and the ability to thrive in a cross-functional team.

Qualifications

• 3+ years of experience with ML libraries such as TensorFlow, Keras, PyTorch, or ONNX.
• 3+ years of experience in software development using Python, C, or C++.
• Experience with Agile software development to modernize systems.
• Experience in Agile methodology, software engineering, product management, and software products.
• Experience running performance testing and benchmarking of neural networks and optimizing algorithms.
• Ability to collaborate in a cross-functional team.
• Bachelor's degree in a STEM field.

Responsibilities

• Develop or contribute to AI/ML solutions for signaling data.
• Work independently with guidance and mentor junior staff.
• Apply ML techniques for developing, deploying, or analyzing wired/wireless signaling data.
• Collaborate with cross-functional teams on complex problems in Agile environments.

Skills

Python Programming

C/C++ Programming

Agile Methodology

Independent Work

Mentoring

Education

Bachelor's degree in STEM

Tools

TensorFlow

Keras

PyTorch

ONNX

C Programming

C++ Programming

Algorithm Optimization

Job description

Jobtailor is seeking a skilled ML/AI software engineer to develop, deploy, and optimize signaling data solutions using TensorFlow, PyTorch, and related tools. You will work across the software stack in an Agile setting and mentor junior teammates while maintaining high standards of code quality and performance.

The ideal candidate has 3+ years with ML libraries, strong Python/C++ programming, and the ability to thrive in a cross-functional team.