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Machine Learning Engineer From Home Jobs in Frisco, TX

UNAVAILABLE

Machine Learning Engineer

Frisco, TX · On-site

$140 - $190/hr

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Develop vision‑language models and Mixture of Experts architectures, from experimental design ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ... Notice As permitted by applicable law and from time-to-time, Confie may use a computer system that ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Develop vision-language models and Mixture of Experts architectures, from experimental design ...

Yum

Machine Learning Engineer II

Plano, TX · On-site

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from ...

Yum Brands

Machine Learning Engineer II

Plano, TX

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from ...

Yum! Brands

Machine Learning Engineer II

Plano, TX

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from ...

Capital One Group

Lead Machine Learning Engineer

Plano, TX · On-site

$179 - $205/hr

This division focuses on developing and maintaining systems that facilitate the smooth operation of auto financing, from loan origination to funding.****As a Capital One Machine Learning Engineer ...

New

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

This division focuses on developing and maintaining systems that facilitate the smooth operation of auto financing, from loan origination to funding. As a Capital One Machine Learning Engineer (MLE ...

Socket.dev

Lead Machine Learning Engineer

Plano, TX · On-site

$179 - $205/hr

This division focuses on developing and maintaining systems that facilitate the smooth operation of auto financing, from loan origination to funding. As a Capital One Machine Learning Engineer (MLE ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer From Home JobsMachine Learning Engineer From Home Jobs in Frisco, TX

Machine Learning Engineer From Home information

See Frisco, TX salary details

$29.5K

$120.5K

$181.1K

How much do machine learning engineer from home jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning engineer from home in Frisco, TX is $120,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $145,100.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer From Home vs Data Scientist?

AspectMachine Learning Engineer From HomeData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, collaborative teams, research-focused
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for technical skills and remote work optionsCompared for data analysis and modeling expertise

While both roles require strong technical credentials and often involve remote work, Machine Learning Engineers From Home focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The choice depends on whether you prefer building algorithms or interpreting data trends.

Can a machine learning engineer work from home?

Yes, many machine learning engineers can work from home, especially in roles that involve data analysis, model development, and coding using tools like Python and TensorFlow. Remote work is common in this field, provided the engineer has a reliable internet connection, access to necessary hardware, and effective communication skills.

What are the most commonly searched types of Machine Learning Engineer jobs in Frisco, TX?

The most popular types of Machine Learning Engineer jobs in Frisco, TX are:

What are popular job titles related to Machine Learning Engineer From Home jobs in Frisco, TX?

For Machine Learning Engineer From Home jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer From Home jobs in Frisco, TX look for?

The top searched job categories for Machine Learning Engineer From Home jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Machine Learning Engineer From Home jobs?

Cities near Frisco, TX with the most Machine Learning Engineer From Home job openings:

Machine Learning Engineer From Home jobs near you

Machine Learning Engineer

UNAVAILABLE

Frisco, TX • On-site

$140 - $190/hr

Other

Posted 14 days ago

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.
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