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Machine Learning Engineer Jobs in Fulshear, TX (NOW HIRING)

Intern/Aide - Part-time

Houston, TX ยท On-site

$14.25 - $19/hr

Strong skills in computer science and programming (algorithm implementation, data structure, and machine learning). * Familiarity with cutting-edge models such as foundation models, large language ...

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Principal Data Engineer

Houston, TX ยท On-site

$106K - $127K/yr

This position demands a blend of cloud data engineering, systems engineering, data integration, and machine learning systems knowledge to enhance GST's data capabilities, supporting advanced ...

Software Engineer in Data Science

Houston, TX ยท On-site

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions ...

Software Engineer in Data Science

Houston, TX ยท On-site

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions ...

Software Engineer in Data Science

Houston, TX ยท On-site +1

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions ...

AI Engineer

Houston, TX ยท On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

AI/ML Engineer - Cybersecurity

Houston, TX ยท On-site

$100 - $130/hr

Work closely with security engineers to validate model outputs in real-world scenarios * Define and ... Experience building and shipping machine learning or AI systems * Strong knowledge of NLP, LLMs ...

AI Engineer III

Houston, TX ยท On-site

$124K - $132K/yr

... engineering, business intelligence, and business stakeholders to design and deliver AI-driven ... Duties include designing and developing machine learning models and AI capabilities, integrating ...

... engineering, business intelligence, and business stakeholders to design and deliver AI-driven ... Duties include designing and developing machine learning models and AI capabilities, integrating ...

AI Solutions Engineering Delivery Lead

Houston, TX ยท On-site

$97K - $128K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Showing results 41-60

Machine Learning Engineer information

See Fulshear, TX salary details

$27.8K

$113.8K

$171K

How much do machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning engineer in Fulshear, TX is $113,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

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

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

Infographic showing various Machine Learning Engineer job openings in Fulshear, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $113,775 per year, or $54.7 per hour.

Data and Machine Learning Lead

Motif Neurotech

Houston, TX โ€ข Remote

Full-time

Posted 16 days ago


Job description

What is Motif?

Motif is a medical device startup based in Houston, Texas. We are designing and developing minimally invasive electronic solutions for serious mental health conditions. Powered by our patent-pending methods for wireless power and data transmission, our goal is to create the smallest implantable brain stimulator to treat people with mental health disorders.

We are an early-stage startup with funding from venture capital firms, grants, and private angel and founder investments.

Motif's technology stack consists of a small implant that is wirelessly powered via magnetic fields from an external wearable transmitter, configured and controlled from a programming interface. It delivers novel stimulation therapy to cortical targets and will evolve to record biomarkers of symptoms, disease state, and therapy response.

Where are we going?

We are currently completing the development of our first minimally invasive neural stimulation system and preparing for future versions with additional functionality based on our platform technology.

About the Job

We are seeking a cross-functional strategic leader to oversee clinical evidence generation and external research partnerships. If you have a passion for translating early-stage neurotechnology into therapies that reach patients, apply now to be part of our dedicated team. Lead the clinical roadmap from early feasibility through reimbursement while shaping the scientific narrative for a new class of psychiatric therapy.

Job Location: Remote with occasional visits to Motif Headquarters in Houston, Texas

Does this sound like you?

  • Do you believe openness and honesty are key to team success?
  • Do you enjoy learning and are curious about how and why things work?
  • Do you like challenging the conventional way of doing things to find efficiencies and new ways of working?

About the Job

We are seeking a strategic leader to oversee collection of multimodal data sets related to mental health disorders, discovery of impactful biomarkers from these data sets, and translation of this impact into scalable neurotechnology products. This effort includes a specific focus on novel neural data from a new implantable neurotech platform alongside consumer grade wearables applied to problems such as automated dosing, detection of therapeutic effect, enhanced adherence, and prediction of potential relapse events. If you have a passion for translating early-stage neurotechnology into therapies that reach patients, apply now to be part of our dedicated team. Lead the machine learning effort from data through discovery and deployment while helping to shape the scientific narrative for a new class of psychiatric therapy.

Job Location: Remote with periodic travel to Houston, Texas and scientific conferences

Does this sound like you?

  • Do you believe openness and honesty are key to team success?
  • Are you motivated by the beauty of a clean data set but have the scars to show from tangling with its ugly sibling?
  • Do you enjoy learning and are curious about how and why things work?
  • Do you like challenging the conventional way of doing things to find efficiencies and new ways of working?
  • You enjoy high-level strategic thinking about data pipelines but can also develop code that unearths clinical-biomarker level insights?

If yes to the above, then come work with Motif! We are highly dedicated people with a passion for neurotechnology, discovery from data, and putting the patient first. We are looking for people with the same energy who will thrive in a high growth - high autonomy environment.

In this role, you will:

  • Develop and own the data science and machine learning roadmap
    • Work with cross functional teams to understand what data is needed when, and put in place strategies to generate it
    • Work with internal and external thought leaders to define problems worth solving, and create strategies for pursuing these solutions
    • Collaborate with partner functions such as research, development, and clinical to integrate data and machine learning as a full partner in the Motif integrated roadmap
    • Create plans to ensure that products are architected to predictably improve as data generated from their use scales (improvement native systems)
    • Represent and communicate the Motif approach to data in mental health for investors, physicians, and other industry forums
  • Define data strategy and execute data collection initiatives
    • Define data sets needed to unlock impactful biomarkers relevant to the treatment of mental health disorders
    • Work closely with the hardware, firmware, and software teams to ensure that the system collects high quality data in an appropriate format and with sufficient metadata to scale seamlessly across local and cloud-based infrastructures
    • Architect thoughtful infrastructures that turn data scale into an asset and not an expense
    • Work closely within awarded grants or identify new opportunities to scale data via partnerships
  • Discover biomarkers or insights with impact
    • Create analytic pipelines to fuse internal, external, and partnered data sets and drive scalable discovery
    • Build organizational tools in machine learning, statistics, and other analytic techniques relevant to data from imaging, neural electrophysiology, wearable and lifestyle measures, video and speech
    • Lead teams to develop and validate biomarkers, correlates, or other insights that solve problems of candidacy, dosing, efficacy assessment, and predictive delivery of therapy in the mental health space
  • Deploy learning into clinical study efforts and, soon, commercial products
    • Partner with R&D to embed data features in future products by translating research pipelines into production code
    • Partner with internal and external experts to design platforms that allow rapid, agile research to occur on fielded products with a goal of accelerating discovery (safe, compliant, fast A/B testing for the neurotech community)
    • Develop verification and validation strategies, and work with partners to ensure regulatory constraints are met
    • Partner with clinical science on generation of evidence to unlock discoveries in clinical studies and commercial products in a predictable cadence
    • Are familiar with cybersecurity considerations with different data types and can defer to experts when necessary

To be considered, you will need:

  • 10+ years of experience in translating medical data into patient benefit within the medtech, pharmaceutical, or biotech industries, with progressive leadership responsibility
  • Demonstrated experience in building infrastructure and know-how on data collection, management, and analysis within growing organizations
  • Working knowledge of US regulatory pathways (FDA IDE/PMA) specific to deployment of data driven features
  • Experience with complex data streams from electrophysiological sources, including neural data, cardiac, wearable accelerometry, sleep, and behavior (audio/video)
  • Availability to travel as needed to scientific conferences and meetings, as well as to Houston, Texas for onsite meetings at Motif Headquarters up to 4-5 times/year

It is a bonus if you have:

  • Experience in active implantable medical devices, neuromodulation, or neurostimulation therapies
  • Clinical or research background in psychiatry, depression, or related mental health indications
  • Advanced degree (MD, PhD, or equivalent) and a record of peer-reviewed publications or successful grant applications
  • Working knowledge of other regulatory pathways (EU MDR, TGA, etc.) and their respective data considerations

Work Authorization Notice

Motif Neurotech hires only individuals who are authorized to work in the United States. At this time, visa sponsorship is not offered for this role.

Benefits*

  • Medical, dental, and vision insurance for you and your dependents
  • Participation in our 401k plan
  • Unlimited PTO
  • The chance to work with an incredible group of people working towards a common goal for a better future
We envision a world where everyone with a mental health disorder can get well and stay well, regardless of who you are, where you live, or how much money you make, and we are excited to build that future with you.
Let's use our powers for good.
Motif Neurotech is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, or any other protected class status.
*for regular full-time, exempt, salaried US employees