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Machine Learning Architect Jobs in Texas (NOW HIRING)

Avita Care Solutions

Machine Learning Engineer

Plano, TX · Remote

$140K - $185K/yr

The Machine Learning Engineer will have deep expertise in healthcare and pharmacy data. The focus ... Contribute to ML architecture decisions, tooling selection, and platform improvements within the ...

7-ELEVEN

Machine Learning Engineer II

Irving, TX · On-site

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

7-ELEVEN

Machine Learning Engineer II

Irving, TX · On-site

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

7-Eleven, Inc

Machine Learning Engineer II

Irving, TX · On-site

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

7-Eleven

Machine Learning Engineer II

Irving, TX · On-site

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

7-Eleven

Machine Learning Engineer II

Irving, TX · On-site

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

Learnings from your work will directly influence next-generation device architecture. Job ... for machine learning applications for BCI. * Lead the team by performing at a high standard ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

Learnings from your work will directly influence next-generation device architecture. Job ... for machine learning applications for BCI. * Lead the team by performing at a high standard ...

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All JobsMachine Learning Architect JobsMachine Learning Architect Jobs in Texas

Machine Learning Architect information

See Texas salary details

$43.3K

$120K

$187.7K

How much do machine learning architect jobs pay per year?

As of Sep 15, 2026, the average yearly pay for machine learning architect in Texas is $119,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $154,700.00 per year, depending on experience, location, and employer.

What does a machine learning architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What skills and qualifications are needed to be a machine learning architect?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What is the salary of a machine learning architect?

The salary of a machine learning architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, cloud platforms, or specific tools may earn higher compensation, often exceeding $180,000 per year.

What are the most commonly searched types of Machine Learning Architect jobs in Texas?

The most popular types of Machine Learning Architect jobs in Texas are:

What are popular job titles related to Machine Learning Architect jobs in Texas?

For Machine Learning Architect jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Machine Learning Architect jobs in Texas look for?

The top searched job categories for Machine Learning Architect jobs in Texas are:

What cities in Texas are hiring for Machine Learning Architect jobs?

Cities in Texas with the most Machine Learning Architect job openings:

Infographic showing various Machine Learning Architect job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,956 per year, or $57.7 per hour.

Machine Learning Engineer

Frisco, TX • On-site

Electronic Transaction Consultants Corporation
201 - 500 employees
Learn more about Electronic Transaction Consultants Corporationexternal

Other

Medical, Dental, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Key responsibilities

  • Design, develop, and deploy computer vision and language models for real-world solutions.

  • Collaborate with engineering teams to integrate computer vision solutions into products and optimize models for performance and scalability.

  • Apply MLOps best practices for training, evaluation, deployment, and monitoring of production-grade computer vision models.

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. vacation, 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 status, 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.

We respectfully request no calls or unsolicited resumes from Agencies.

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