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Startup Machine Learning Intern Jobs in Houston, TX

Chevron

2026-2027 Earth Science Intern

Houston, TX

$10K/mo

  • Medical

  • Retirement

Practical experience with geoscience coding, data science, and/or machine learning. Why Intern at Chevron? * You work on real projects, not side tasks * You use modern tools and cloud platforms * You ...

Citadel

Software Engineer - Intern (US)

Houston, TX · On-site

$4.5K - $5.8K/wk

You'll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more. As an intern, you'll get to ...

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All JobsStartup Machine Learning Intern JobsStartup Machine Learning Intern Jobs in Houston, TX

Startup Machine Learning Intern information

See Houston, TX salary details

$24.4K

$40.7K

$84K

How much do startup machine learning intern jobs pay per year?

As of Aug 19, 2026, the average yearly pay for startup machine learning intern in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

What does a startup machine learning intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

What are the typical responsibilities of a startup machine learning intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

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

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

What is the difference between Startup Machine Learning Intern vs Startup Data Scientist?

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

What are popular job titles related to Startup Machine Learning Intern jobs in Houston, TX?

For Startup Machine Learning Intern jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Startup Machine Learning Intern jobs in Houston, TX look for?

The top searched job categories for Startup Machine Learning Intern jobs in Houston, TX are:

What cities near Houston, TX are hiring for Startup Machine Learning Intern jobs?

Cities near Houston, TX with the most Startup Machine Learning Intern job openings:

Startup Machine Learning Intern jobs near you
Infographic showing various Startup Machine Learning Intern job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $40,666 per year, or $19.6 per hour.

Data and Machine Learning Lead

Motif Neurotech

Houston, TX • Remote

Full-time

Posted 15 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

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