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Machine Learning Engineer Hybrid Jobs in Texas (NOW HIRING)

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 ... Architect Retrieval‑Augmented Generation ( RAG ) systems, including vector store design, hybrid ...

Q2 India

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... Hybrid Work Opportunities* Flexible Time Off* Career Development & Mentoring Programs* Health ...

Q2

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Hybrid Work Opportunities * Flexible Time Off * Career Development & Mentoring Programs * Health ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Hybrid Work Opportunities * Flexible Time Off * Career Development & Mentoring Programs * Health ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Architect Retrieval-Augmented Generation ( RAG ) systems, including vector store design, hybrid ...

Lawrence Harvey

Senior Machine Learning Engineer

Austin, TX · On-site

$210K - $260K/yr

Hybrid working model with four days per week in the office and one day working remotely. This is an opportunity to join a highly technical engineering team where machine learning sits at the core of ...

Dow Chemical

Machine Learning Engineer

Deer Park, TX · On-site

$130 - $190/hr

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions, you will work with a cross-functional team whose objective is to deliver solutions ...

Dow

Machine Learning Engineer

Houston, TX · On-site

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions , you will work with a cross-functional team whose objective is to deliver solutions ...

Dow Chemical

Machine Learning Engineer

Stafford, TX · On-site

$120 - $180/hr

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions, you will work with a cross-functional team whose objective is to deliver solutions ...

Dow

Machine Learning Engineer

Houston, TX · On-site

$120 - $160/hr

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions, you will work with a cross-functional team whose objective is to deliver solutions ...

Yum

Machine Learning Engineer II

Plano, TX · On-site

Hybrid onsite requirement in either Plano, TX - Irvine, CA - Louisville, KY Company Overview: Yum ... As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ...

Dow Chemical

Machine Learning Engineer

South Houston, TX · On-site

$120 - $190/hr

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions, you will work with a cross-functional team whose objective is to deliver solutions ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

Yum Brands

Machine Learning Engineer II

Plano, TX · On-site

Hybrid onsite requirement in either Plano, TX - Irvine, CA - Louisville, KY Company Overview: Yum ... As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ...

Yum! Brands

Machine Learning Engineer II

Plano, TX · On-site

Hybrid onsite requirement in either Plano, TX - Irvine, CA - Louisville, KY Company Overview: Yum ... As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ...

Avride

Machine Learning Engineer

Austin, TX · On-site

$138K/yr

About the role We're hiring an experienced ML engineer to work on the models that see. You'll own ... Python and a modern deep learning framework , fluently, as your daily working environment. * Enough ...

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Showing results 1-20

All JobsMachine Learning Engineer Hybrid JobsMachine Learning Engineer Hybrid Jobs in Texas

Machine Learning Engineer Hybrid information

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

AspectMachine Learning Engineer HybridData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops, tests, deploys ML models; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works across departments
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.

What are popular job titles related to Machine Learning Engineer Hybrid jobs in Texas? For Machine Learning Engineer Hybrid jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Hybrid jobs in Texas look for? The top searched job categories for Machine Learning Engineer Hybrid jobs in Texas are:
What cities in Texas are hiring for Machine Learning Engineer Hybrid jobs? Cities in Texas with the most Machine Learning Engineer Hybrid job openings:
Machine Learning Engineer Hybrid jobs near you
Infographic showing various Machine Learning Engineer Hybrid job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer

UNAVAILABLE

Frisco, TX • On-site

$140 - $190/hr

Other

Posted 6 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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