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Founding Machine Learning Engineer Jobs in Houston, TX

PROS Holdings, Inc.

Machine Learning Engineer II

Houston, TX · On-site

$93.10K - $127.50K/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 ...

PROS

Machine Learning Engineer II

Houston, TX · On-site

$93.10K - $127.50K/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

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 ...

Vitol

Senior Machine Learning Engineer

Houston, TX

$117K - $154.20K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154.20K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154.20K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$116.90K - $154.20K/yr

They are seeking an experienced Machine Learning Engineer to join their data science and machine learning team, responsible for delivering machine learning models and applications across various ...

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99.80K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must-Have (Technical Expertise & Core Responsibilities) * Deep Neural Networks (DNN): * Hands-on ...

Cisco

Principal Machine Learning Engineer

Houston, TX · On-site

The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the lifecycle of large-scale foundation models, and collaborate with various teams to ensure alignment ...

New

Talentry, LLC

Be Seen First

Machine Learning Guru (Autonomous Navigation)**

Houston, TX · Remote

$200K - $300K/yr

Senior/Principal Machine Learning Engineer 200-300k Remote position possible Description * Develop solutions for autonomous driving, from experimentation to full commercialization. * Explore new ...

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Founding Machine Learning Engineer information

See Houston, TX salary details

$30.1K

$123K

$184.8K

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

As of May 29, 2026, the average yearly pay for founding machine learning engineer in Houston, TX is $122,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $148,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Founding Machine Learning Engineer, and why are they important?

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.

What are some unique challenges and expectations for a Founding Machine Learning Engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

What is a Founding Machine Learning Engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.
What are popular job titles related to Founding Machine Learning Engineer jobs in Houston, TX? For Founding Machine Learning Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Founding Machine Learning Engineer jobs in Houston, TX look for? The top searched job categories for Founding Machine Learning Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Founding Machine Learning Engineer jobs? Cities near Houston, TX with the most Founding Machine Learning Engineer job openings:
Founding Machine Learning Engineer jobs near you
Infographic showing various Founding Machine Learning Engineer job openings in Houston, TX as of May 2026, with employment types broken down into 40% Full Time, 55% Part Time, 4% Contract, and 1% Nights. Highlights an 98% Physical, and 2% Hybrid job distribution, with an average salary of $122,971 per year, or $59.1 per hour.
W2 Machine Learning Engineer

W2 Machine Learning Engineer

Judge Group, Inc.

Houston, TX

$150K - $220K/yr

Other

Posted 10 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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