Machine Learning Engineer

Quarterhill Inc.; Frisco (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health plan

Retirement plan

EFAP

Employee referral program

Paid time off

Job summary

Quarterhill Inc. is seeking a Machine Learning Engineer to design, develop, and deploy production-ready computer vision and language models for Intelligent Transportation Systems.

You will work with large-scale image and video data, building robust vision systems and contributing clean, modular code to shared repositories. Collaborating with cross-functional teams, you will deploy models in production, implement MLOps on cloud platforms, and optimize performance and scalability across edge and

Qualifications

• 5+ years of hands-on ML with production experience in CV and related fields.
• Master's degree required; PhD preferred in CS/ML or related field.
• Experience with MLOps tools and production ML lifecycle.

Responsibilities

• Fine-tune and deploy CV and language models at scale.
• Architect Retrieval-Augmented Generation (RAG) systems and vector stores.
• Apply MLOps best practices for training, evaluation, and deployment.
• Collaborate with cross-functional teams to integrate ML into products.
• Optimize models for edge and cloud real-time inference.

Skills

5+ years ML

Computer vision

Vision Transformers

Education

Master's degree

PhD preferred

Tools

MLflow

Kubeflow

Docker

Kubernetes

Job description

Overview

Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team building the next generation of Intelligent Transportation Systems. In this role, you will design, develop, and deploy state-of-the-art computer vision and language models that power scalable, real-world solutions. You’ll work with large-scale image and video data, building and optimizing production-grade vision systems while contributing clean and modular code to shared repositories.

As part of our AI team, you’ll collaborate closely with engineering teams to deliver high-impact features for our growing SaaS platform. The ideal candidate brings hands-on experience deploying computer vision and language models in production and applying MLOps best practices on cloud platforms.

Responsibilities

• Fine-tune and deploy computer vision and deep learning models for object detection, object tracking, and OCR at scale.
• Develop vision-language models and Mixture of Experts architectures, from experimental design through production deployment.
• Architect Retrieval-Augmented Generation (RAG) systems, including vector store design, hybrid search strategies, chunking pipelines, and context relevance evaluation.
• Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade computer vision models, with an emphasis on clean, modular, maintainable code.
• Contribute to our machine learning repositories and optimize models for performance, scalability, and real-time inference across edge and cloud environments.
• Drive performance optimization and scalability of ML systems across edge and cloud environments.
• Collaborate with cross-functional teams to integrate computer vision solutions into end-to-end products, translating research outcomes into measurable platform impact.

This list of responsibilities might not cover everything you'll end up doing.

Qualifications

• 5+ years of hands-on machine learning experience, with deep specialization in computer vision and a proven track record of shipping models to production.
• Master's degree required (Ph.D. preferred) in Computer Science, Machine Learning, or a closely related field.
• Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.
• Experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) able to own the full model lifecycle from experimentation through production monitoring.
• Experience building and deploying LLM-based systems and Retrieval-Augmented Generation (RAG) pipelines, including vector store integration and retrieval evaluation.
• Strong communicator who can translate complex research findings into actionable decisions for engineering and product stakeholders.

Benefits

We offer a Total Rewards plan designed with you and your family’s health and wellness in mind that includes:

• Paid days off ( i. e. vacatio n, sick days, bereavement leave)
• Health and Dental plans
• Retirement plans
• Employee and Family Assistance Program (EFAP)
• Employee referral program

We welcome applicants from all backgrounds, regardless of race, color, religion, sex, veteran sta tus, sexual orientation, gender identity, national origin, age, or disabilit y or any other protected characteristics in accordance with applicable federal, state/provincial, and local laws . We 're committed to creating a workplace where everyone feels valued and respected.

We appreciate all responses and will acknowledge only those being considered for an interview .