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Google Machine Learning Engineer Jobs in Texas (NOW HIRING)

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

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 ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

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 ...

SynergisticIT

Machine learning engineer

Austin, TX

... Apple, Google, PayPal, Western Union, Bank of America, Visa, etc to name a few. We have an ... Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java ...

PayPal

Machine Learning Engineer

Austin, TX · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Photon

Machine Learning Engineer - NJ

Dallas, TX

Machine Learning Engineer We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

Neuralink

Machine Learning Engineer

Austin, TX

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

Indeed

Machine Learning Engineer

Austin, TX

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Indeed

Machine Learning Engineer III

Austin, TX

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

PROS Holdings, Inc.

Machine Learning Engineer II

Houston, TX · On-site

$93K - $127K/yr

Machine Learning Engineer II About PROS: PROS, Inc. is the leading offer management provider to the airline industry, helping airlines deliver seamless retail experiences designed to maximize revenue ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Senior Machine Learning Engineer Location: Ann Arbor, Michigan Experience Level: 7+ Years Department: Data Science / Engineering Employment Type: Full-time About the Role: We are looking for an ...

PROS

Machine Learning Engineer II

Houston, TX

$93K - $127K/yr

Machine Learning Engineer II About PROS: PROS, Inc. is the leading offer management provider to the airline industry, helping airlines deliver seamless retail experiences designed to maximize revenue ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

SHI

Solutions Engineer - Google AI

Austin, TX

Google Machine Learning Engineer,Data Engineer,Google Cloud ProfessionalArchitect,or other relevant Google Cloud certifications are highly preferred;Other AI-relatedCertifications are a plus * Deep ...

Oxy

AI Machine Learning Engineer

Houston, TX

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

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All JobsGoogle Machine Learning Engineer JobsGoogle Machine Learning Engineer Jobs in Texas

Google Machine Learning Engineer information

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

To thrive as a Google Machine Learning Engineer, you need strong expertise in mathematics, statistics, programming (especially Python or C++), and a solid background in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms (like Google Cloud), and advanced certifications can be highly beneficial. Excellent problem-solving, teamwork, and communication skills help you collaborate across teams and explain complex models to stakeholders. These skills are essential to driving innovation, building scalable solutions, and ensuring impactful results in a fast-paced, research-driven environment.

What is a Google Machine Learning Engineer job?

A Google Machine Learning Engineer designs, builds, and optimizes machine learning models to improve Google's products and services. They work with large datasets, implement algorithms, and deploy scalable AI systems. Collaboration with data scientists, software engineers, and product teams is essential to integrate models into real-world applications. Strong knowledge of Python, TensorFlow, and cloud computing is often required. This role focuses on both research and practical implementation to enhance automation and decision-making across Google products.

What types of projects and collaborations can Google Machine Learning Engineers expect to be involved in?

Google Machine Learning Engineers often contribute to diverse projects, such as developing next-generation search algorithms, optimizing user experiences across products, or creating scalable machine learning systems for internal and external clients. The role frequently involves collaborating with data scientists, product managers, software engineers, and researchers to define project goals and deliver impactful solutions. You can expect to participate in code reviews, prototype new models, and provide expert input during technical discussions. This collaborative, interdisciplinary approach ensures innovative outcomes and offers ongoing opportunities for professional growth and skill development.

What are the most commonly searched types of Google Machine Learning Engineer jobs in Texas? The most popular types of Google Machine Learning Engineer jobs in Texas are:
What are popular job titles related to Google Machine Learning Engineer jobs in Texas? For Google Machine Learning Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Google Machine Learning Engineer jobs in Texas look for? The top searched job categories for Google Machine Learning Engineer jobs in Texas are:
What cities in Texas are hiring for Google Machine Learning Engineer jobs? Cities in Texas with the most Google Machine Learning Engineer job openings:
Google Machine Learning Engineer jobs near you
Infographic showing various Google Machine Learning Engineer job openings in Texas as of May 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution.
W2 Machine Learning Engineer

W2 Machine Learning Engineer

Judge Group, Inc.

Houston, TX

$150K - $220K/yr

Other

Posted 21 days ago

Job description

Location: Houston, TX
Salary: $150,000.00 USD Annually - $220,000.00 USD Annually
Description:
Machine Learning Engineer

W2- NO SPONSORSHIP AVAILABLE

Overview:
We are seeking a forward-thinking Machine Learning Engineer to evaluate and integrate emerging and start-up Artificial Intelligence (AI) and Machine Learning (ML) solutions that drive value.
This role blends deep technical expertise in AI and ML with a passion for experimentation, creativity, and solving complex problems in novel ways.
This position is part of the Mechatronics and Digital Labs Team responsible for providing thought leadership and execution of technology trials of emerging technologies to validate value and technical capability.
The function of this role is to partner with the business to identify disruptive and emerging technologies to achieve greater business value faster.
Our team is highly technical, creative, and innovative, and we are cross-functional and passionate about delivering creative solutions that drive significant business value.
We are looking for a Machine Learning Engineer with the ability to bring expertise, an innovative attitude, and excitement for solving complex problems with new technologies and approaches.
There will be no shortage of opportunities to lead, innovate, challenge the status quo, and work directly with Data Scientists, Analytics Professionals, and Business experts to build and deliver innovative, value-driven AI solutions.
Responsibilities:
  • Partner with Digital Innovation teams to evaluate and test emerging AI and machine learning technologies
  • Explore and experiment with Generative AI (GenAI), NLP, and computer vision applications
  • Stay current with the latest AI advancements and integrate them into projects
  • Collaborate with data scientists, data engineers, and solution architects across business units and IT
  • Build and maintain robust data pipelines using platforms such as Databricks
  • Deploy models in production using Docker and cloud platforms (AWS, Azure)
  • Conduct machine learning experiments to validate hypotheses and improve performance
  • Identify and frame AI opportunities to improve workflows, decision-making, and automation
  • Define data, technologies, and architecture patterns to solve business challenges
  • Transform data science prototypes into scalable production solutions
  • Orchestrate infrastructure for low-latency, scalable, and resilient ML workloads
  • Run experiments and fine-tune algorithms for optimal performance
  • Participate in Agile teams to support cross-training and continuous improvement
  • Continuously learn new technologies and design patterns to improve AI solution delivery

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Mathematics, or related field (or equivalent experience)
  • 5+ years of experience in software engineering
  • Strong Python development experience including data structures, OOP, and control flow
  • Experience with ML frameworks and libraries (MLflow, Kubeflow, TensorFlow, Keras, scikit-learn, PyTorch, NumPy, SciPy)
  • Experience with JavaScript frameworks (Angular, React, Node.js)
  • Experience building ML pipelines in Microsoft Azure Machine Learning
  • Experience developing cloud-first solutions using Azure services (Functions, App Services, Event Hubs, SQL DB, Synapse)
  • Strong understanding of design patterns and ability to communicate design ideas
  • Methodical, structured approach to building scalable software components
  • Working knowledge of linear algebra, probability, statistics, and algorithms
  • Experience with data engineering tools such as Databricks, Spark, and Azure Data Factory

Preferred Qualifications:
  • Master's degree in Computer Science, Mathematics, or related field
  • Strong background in statistics and time-series analysis
  • Experience orchestrating large-scale ML/DL workloads using Kubernetes or similar tools
  • Experience designing APIs for ML training and inference
  • Experience building and delivering MLOps frameworks
  • Experience with unstructured data, cognitive services, and computer vision solutions
  • Experience with model optimization and hyperparameter tuning
  • Hands-on experience with Azure ML SDK deployments
  • Strong Python debugging and OOP skills
  • Strong architectural design skills and framework development experience
  • Passion for high-quality software development practices
  • Knowledge of enterprise SaaS requirements (security, scalability, availability, CI/CD, etc.)
  • Strong understanding of software engineering best practices (version control, testing, architecture review)
  • Proven ability to lead cross-functional projects in Agile environments
  • Experience collaborating with data scientists to deploy advanced analytics solutions

Critical Selection Criteria:
  • Technical Capability: Strong software engineering background with ML frameworks, mathematical knowledge, and ability to quickly learn new technologies to deliver AI solutions
  • Business Engagement: Ability to partner with stakeholders to identify and implement machine learning solutions that drive business value
  • Domain Knowledge: Experience in upstream, midstream, or downstream environments with ability to build cross-functional partnerships and deliver scalable AI solutions
  • Communication: Strong verbal and written communication skills with the ability to clearly convey complex ideas and actively listen to stakeholders

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!

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