Edge AI Algorithm Engineer

Intelliswift - An LTTS Company; Redmond (WA); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Intelliswift - An LTTS Company is seeking a Machine Learning Algorithm Engineer in Redmond, WA, blended hybrid work with three days onsite. The role focuses on developing and deploying ML algorithms for intelligent sensing systems and hardware-integrated AI solutions.

You will work on ML pipelines, model training, and optimization for edge devices, collaborating with a multidisciplinary team to deliver prototype systems.

Qualifications

• Bachelor’s degree in a technical field (CS/Math/EE/Robotics) with 1–6 years in ML/algorithm development.
• Strong Python programming and ML/deep learning experience.
• Hands-on with PyTorch and/or TensorFlow; C++ OO programming experience.

Responsibilities

• Design, develop, test, and optimize ML and DL algorithms.
• Build and improve ML pipelines for hardware deployment.
• Develop models and algorithms for data analysis and performance.
• Train, evaluate, and fine-tune models with modern ML frameworks.
• Troubleshoot software and algorithm performance issues.
• Collaborate with multidisciplinary teams to prototype solutions.
• Deploy ML to embedded/edge environments; improve deployment workflows.
• Work independently from concept to implementation.

Skills

Python programming

PyTorch

TensorFlow

C++

ML algorithms

Research

Independent work

Education

Bachelor's degree in CS/Math/EE/Robotics

Master's degree preferred

Tools

Embedded systems toolchains

AI accelerators familiarity

Job description

Intelliswift - An LTTS Company is seeking a Machine Learning Algorithm Engineer in Redmond, WA, blended hybrid work with three days onsite. The role focuses on developing and deploying ML algorithms for intelligent sensing systems and hardware-integrated AI solutions.

You will work on ML pipelines, model training, and optimization for edge devices, collaborating with a multidisciplinary team to deliver prototype systems.