1

Founding Machine Learning Engineer Jobs in Katy, TX

Machine Learning Tutor

Missouri City, TX ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Houston, TX ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Sugar Land, TX ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Senior Machine Learning Data Scientist

Houston, TX ยท On-site

$102 - $156.40/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Machine Learning Data Scientist Location: Houston, United States, 77056 Company: ENGIE North ... This includes building models across the full lifecycle--from feature engineering, training, tuning ...

AI Engineer

Houston, TX ยท On-site

As an AI Engineer on this team, you will partner with AI and Machine Learning Engineers across the ... Experience implementing machine learning frameworks and libraries. * Development experience with ...

New

AI Engineer

Houston, TX ยท On-site

As an AI Engineer on this team, you will partner with AI and Machine Learning Engineers across the ... Experience implementing machine learning frameworks and libraries. * Development experience with ...

Showing results 21-40

Founding Machine Learning Engineer information

See Katy, TX salary details

$28.9K

$118.1K

$177.5K

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

As of Aug 19, 2026, the average yearly pay for founding machine learning engineer in Katy, TX is $118,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,100.00 and $142,200.00 per year, depending on experience, location, and employer.

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 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 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.

Are founding machine learning engineers still in demand?

Founding machine learning engineers remain in high demand as companies seek to develop AI-driven products and services. They often require strong skills in deep learning, data modeling, and proficiency with tools like TensorFlow or PyTorch, with demand driven by growth in AI applications across industries.

How much does a founding machine learning engineer make?

A founding machine learning engineer typically earns between $100,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses may also be part of the compensation package, especially in startup environments where they play a significant role in total earnings.

What are popular job titles related to Founding Machine Learning Engineer jobs in Katy, TX?

For Founding Machine Learning Engineer jobs in Katy, TX, the most frequently searched job titles are:

What job categories do people searching Founding Machine Learning Engineer jobs in Katy, TX look for?

The top searched job categories for Founding Machine Learning Engineer jobs in Katy, TX are:

What cities near Katy, TX are hiring for Founding Machine Learning Engineer jobs?

Cities near Katy, TX with the most Founding Machine Learning Engineer job openings:

Infographic showing various Founding Machine Learning Engineer job openings in Katy, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $118,144 per year, or $56.8 per hour.

AI and Machine Learning Engineer

Hewlett Packard Enterprise Development LP

Spring, TX โ€ข On-site

$124K/yr

Full-time

Posted 16 days ago


Job description

AI and Machine Learning Engineer
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
High Performance Computing, AI and Labs are a critical element of HPE. We are focused on delivering innovative solutions that accelerate our customers' digital transformation, enabling them to tackle their complex, and data-intensive workloads. Combining deep expertise and the development of the world's most cutting-edge, high-performance supercomputers, is defining the next era of computing delivering valuable insight & innovation. Join us and redefine what's next for you.
Responsibilities:
  • Installs and configures complex IT infrastructure components (servers, storage, network)
  • Develop software scripts and configurations for automating deployment.
  • Study and improve the performance of Large Language Models run on HPE GPU servers
  • Performs system level analysis of server workloads on various HPE platforms running DL and ML code to include accelerated hardware and high-speed networks like InfiniBand
  • Writes white papers and other guidance documents for AI workload and model selection
  • Captures and reviews system performance data, logs, traces to understand workload behaviour
  • Develops software and scripts that help analyse AI workload performance data
  • Communicates technical work well and can provide summaries of work to non-technical colleagues
  • Works with software and hardware partners in optimizing systems and resolving performance issues
  • Documents and reports issues discovered when testing and evaluating the systems
  • Communicates project status and concerns to management in a timely manner
  • Provides guidance to less-experienced staff members.
  • Runs AI and HPC benchmarks.

Education and Experience Required:
  • Master's degree or PhD in Computer Science, Engineering, Information Technology or Systems, or relevant field.
  • 5+ years of experience.

Knowledge and Skills:
  • 5+ years of experience in Machine Learning/Artificial Intelligence and 5+ years of experience in HPC
  • Experience running NCCL, HPL and AI benchmarks.
  • Experience working with containers and distributed deep learning and neural networks, to include transformers used in generative AI projects
  • Experience working with High Performance Computer Servers, High Performance Networking, and associated software, including resource managers like Slurm
  • Experience working with Weka I/O, NFTS and Lustre File Systems
  • Programming experience in Python, C, C++
  • Strong analytical and critical thinking skills
  • Scripting, process automation and CI/CD are strongly desired
  • Must be a self-starter and be able to work with minimum supervision in a semi-remote setting

Additional Skills:
Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset.
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
#unitedstates
Job:
Engineering
Job Level:
TCP_03
"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 120,500 - 276,500 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered."
Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.