ZipRecruiter

Log In

1

Principal Machine Learning Engineer Jobs in Texas

Cisco

Principal Machine Learning Engineer

Austin, TX · On-site

$291K - $369K/yr

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Cisco

Principal Machine Learning Engineer

Houston, TX · On-site

$291K - $369K/yr

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Cisco

Principal Machine Learning Engineer

Dallas, TX · On-site

$291K - $369K/yr

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

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 ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

They are seeking experienced Machine Learning Engineers to drive the development and deployment of ... At Staff and Principal levels, you will set the technical vision for entire model families and ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

About the role We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX

$124K - $171K/yr

About the role We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready ...

Avride

Machine Learning Engineer

Austin, TX

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Apple

Machine Learning Engineer

Austin, TX · On-site

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Avride

Machine Learning Engineer

Austin, TX · On-site

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Q2

Machine Learning Engineer

Austin, TX

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

next page

Showing results 1-20

All JobsPrincipal Machine Learning Engineer JobsPrincipal Machine Learning Engineer Jobs in Texas

Principal Machine Learning Engineer information

See Texas salary details

$68.9K

$137.2K

$198K

How much do principal machine learning engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for principal machine learning engineer in Texas is $137,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $161,200.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can a Principal Machine Learning Engineer typically expect in this role?

Principal Machine Learning Engineers are often tasked with leading the design, development, and deployment of large-scale machine learning models and systems that address key business challenges. In this role, you will collaborate closely with data scientists, engineers, and product managers to define project requirements, architect solutions, and ensure high-quality delivery. You may also guide research initiatives, oversee code and model reviews, and mentor junior engineers, helping to shape the technical direction of the team. Typical responsibilities can range from prototyping and optimizing algorithms to ensuring models are scalable, reliable, and aligned with organizational goals.

What are the key skills and qualifications needed to thrive in the Principal Machine Learning Engineer position, and why are they important?

To thrive as a Principal Machine Learning Engineer, you need advanced expertise in machine learning algorithms, statistical analysis, software engineering, and a strong background in computer science or related fields, often supported by a master's or PhD degree. Familiarity with tools such as Python, TensorFlow, PyTorch, cloud platforms (AWS, GCP, Azure), and relevant certifications strengthens technical capability. Leadership, strategic thinking, effective communication, and mentorship are vital soft skills for guiding teams and collaborating across departments. These competencies are essential for driving innovation, ensuring technical excellence, and influencing organizational AI initiatives.

Will MLE be replaced by AI?

Principal Machine Learning Engineers design, develop, and oversee AI and machine learning systems, and their roles involve understanding complex algorithms, data management, and model deployment. While AI automates certain tasks, MLE roles focus on building and maintaining AI infrastructure, which requires human expertise, critical thinking, and ongoing innovation that AI cannot fully replace. The role is expected to evolve alongside advancements in AI technology but remains essential for guiding AI development and ensuring ethical, effective implementation.

What does a Principal Machine Learning Engineer do?

A Principal Machine Learning Engineer leads the design, development, and deployment of machine learning models and systems. They set technical strategy, mentor engineers, and collaborate with cross-functional teams to solve complex AI challenges. Their role often includes researching new algorithms, optimizing model performance, and ensuring scalability in production environments. Additionally, they work closely with data scientists, software engineers, and product managers to align ML initiatives with business objectives.

How much do principal AI engineers make?

Principal AI engineers typically earn between $130,000 and $200,000 annually, with salaries varying based on experience, location, and industry. They often have advanced skills in machine learning, deep learning, and data science, and may receive bonuses or stock options as part of compensation packages.

What engineers make $300,000 a year?

Principal Machine Learning Engineers and senior data scientists in the tech industry often earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning and AI, and working at large technology companies or startups with competitive compensation packages. High salaries may also include bonuses, stock options, and other benefits.

What engineer makes $500,000 a year?

A Principal Machine Learning Engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning and data science, and working at large tech companies or in high-demand industries. Compensation often includes base salary, bonuses, and stock options, reflecting their seniority and expertise.
What are popular job titles related to Principal Machine Learning Engineer jobs in Texas? For Principal Machine Learning Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Principal Machine Learning Engineer jobs in Texas look for? The top searched job categories for Principal Machine Learning Engineer jobs in Texas are:
Principal Machine Learning Engineer jobs near you
Infographic showing various Principal Machine Learning Engineer job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $137,158 per year, or $65.9 per hour.

Machine Learning Engineer

AspireIT Solutions

Dallas, TX • On-site

Other

Posted 2 days ago

New

Job description

Title: Principal Machine Learning Engineer
Location: Dallas, TX (Onsite, 5 days/week)
Secondary: Chicago, IL or New York City, NY (also onsite)
Duration/Type: Contract
Client: System Integrator
Role Overview
Lead design and delivery of scalable ML/GenAI solutions for a large-scale Mail/communications platform, focusing on personalization, user insights, and production-grade ML systems.

Key Responsibilities

  • Design, build, and deploy ML/GenAI models for personalization, recommendations, and user insights.
  • Lead and mentor a small team of ML/Software Engineers; enforce high standards for code and architecture.
  • Work with product, data, and platform teams to integrate ML features into Mail and broader ecosystem.
  • Build data/ML pipelines and tools for large-scale data processing, experimentation, and observability.
  • Run A/B tests and analyze impact; implement feedback loops and safe recovery paths for model failures.
  • Balance cost, latency, and quality for production ML services.

Required Skills & Experience

  • 8+ years in Machine Learning / Data Science / Applied ML Engineering.
  • Strong programming in Python (preferred) and/or Java/C++.
  • Hands-on with ML frameworks: TensorFlow, PyTorch, Scikit-learn.
  • Experience with LLMs / Generative AI: prompt engineering, RAG, fine-tuning, LLMOps, agent frameworks, GPU optimization.
  • Big data & ML infra: Spark, Hadoop, Airflow, MLFlow, feature stores, vector DBs, CI/CD for ML.
  • Strong ML fundamentals: supervised/unsupervised learning, NLP, data mining, experimentation (A/B testing).
  • Experience building production ML systems with monitoring, telemetry, and user feedback loops.
  • Excellent communication; able to work closely with tech leads, architects, and cross-functional teams.

Aspire IT Solutions is an equal opportunity employer.
All applicants must submit accurate information; misrepresentation may disqualify candidacy.
This role may require background checks/work authorization verification.
Rate/benefits are negotiable.
Aspire IT Solutions reserves the right to modify or withdraw this posting.

Apply