ZipRecruiter

Log In

1

Internship Applied Scientist Machine Learning Jobs in Spring, TX

NobleAI

Senior Applied AI/ML Scientist

Houston, TX · On-site

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... We are seeking an Applied AI/ML Scientist that will be responsible for developing and deploying ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine learning * Experience with exploring and extracting insights from multi-dimensional datasets * Proficiency ...

Talentry, LLC

Be Seen First

Machine Learning Guru (Autonomous Navigation)**

Houston, TX · Remote

$200K - $300K/yr

D. or Master's) in computer science, computer engineering, mathematics, physics, or related field. * In-depth knowledge and experience in machine learning and/or computer vision, employing bleeding ...

Varsity Tutors

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Corva

Senior Data Scientist

Houston, TX · On-site

Design, develop, and deploy advanced machine learning and deep learning models for anomaly ... Conduct applied research in drilling, completions, and geoscience domains * Design rigorous ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

Bachelor's degree in computer science, mathematics, physics, engineering or related field required ... machine learning methods and algorithms * Strong Python or R programming skills required

Arva Intelligence

Modeling Scientist

Houston, TX · On-site

$100K - $160K/yr

Working at the intersection of statistics, machine learning, and process-based ecosystem modeling ... Master's or PhD degree or equivalent experience in Statistics, Applied Mathematics, Environmental ...

Arva Intelligence

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Working at the intersection of statistics, machine learning, and process-based ecosystem modeling ... Master's or PhD degree or equivalent experience in Statistics, Applied Mathematics, Environmental ...

Oxy

AI Machine Learning Engineer

Houston, TX

Bachelor's degree in computer science, mathematics, physics, engineering or related field required ... machine learning methods and algorithms * Strong Python or R programming skills required

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

Design, develop, and deploy end-to-end machine learning and data science solutions across our wider business activities (including trading, operations, and support functions) - from raw data ...

Vitol

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

Design, develop, and deploy end-to-end machine learning and data science solutions across our wider business activities (including trading, operations, and support functions) - from raw data ...

Vitol

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

Design, develop, and deploy end-to-end machine learning and data science solutions across our wider business activities (including trading, operations, and support functions) - from raw data ...

next page

Showing results 1-20

All JobsInternship Applied Scientist Machine Learning JobsInternship Applied Scientist Machine Learning Jobs in Spring, TX

Internship Applied Scientist Machine Learning information

See Spring, TX salary details

$22.7K

$37.9K

$78.3K

How much do internship applied scientist machine learning jobs pay per year?

As of Jun 24, 2026, the average yearly pay for internship applied scientist machine learning in Spring, TX is $37,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,900.00 and $40,900.00 per year, depending on experience, location, and employer.

What types of projects do Internship Applied Scientists in Machine Learning typically work on, and how do they contribute to the team's goals?

Internship Applied Scientists in Machine Learning often collaborate with multidisciplinary teams to tackle real-world problems using data-driven approaches. Typical projects might include developing and fine-tuning machine learning models, conducting experiments to validate hypotheses, or assisting in the deployment of algorithms into production systems. Interns are expected to contribute fresh perspectives, help with data preprocessing, and perform thorough model evaluations. Through these projects, interns gain hands-on experience while directly supporting the team's research and product development objectives.

What is the difference between Internship Applied Scientist Machine Learning vs Internship Data Scientist?

AspectInternship Applied Scientist Machine LearningInternship Data Scientist
Required CredentialsRelevant degrees in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegrees in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch and development teams, focus on ML model developmentBusiness teams, focus on data analysis and insights
Employer & Industry UsageTech companies, AI-focused organizationsVarious industries including tech, finance, healthcare
Comparison Search IntentUnderstanding roles in ML research and developmentUnderstanding data analysis and business insights roles

Internship Applied Scientist Machine Learning roles focus on developing and applying machine learning models, often in research settings. In contrast, Internship Data Scientist positions emphasize analyzing data to generate insights for business decisions. Both roles require strong analytical skills and relevant educational backgrounds, but they differ in their primary focus and work environment.

What are the key skills and qualifications needed to thrive as an Internship Applied Scientist in Machine Learning, and why are they important?

To thrive as an Internship Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, often supported by coursework or research experience in machine learning and data analysis. Familiarity with tools such as Python, TensorFlow, PyTorch, and experience working with large datasets are highly valued, along with knowledge of version control systems like Git. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly set top candidates apart. These competencies are crucial for effectively designing, implementing, and presenting machine learning solutions that address real-world challenges.

What does an Internship Applied Scientist in Machine Learning do?

An Internship Applied Scientist in Machine Learning works on real-world projects involving the design, development, and evaluation of machine learning models and algorithms. Their responsibilities typically include data analysis, building predictive models, experimenting with new techniques, and collaborating with engineers and researchers to solve complex problems. Interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch, and contribute to advancing the company's AI capabilities. The role requires a strong foundation in mathematics, statistics, and computer science, as well as the ability to communicate findings to both technical and non-technical stakeholders.
What are popular job titles related to Internship Applied Scientist Machine Learning jobs in Spring, TX? For Internship Applied Scientist Machine Learning jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Internship Applied Scientist Machine Learning jobs in Spring, TX look for? The top searched job categories for Internship Applied Scientist Machine Learning jobs in Spring, TX are:
What cities near Spring, TX are hiring for Internship Applied Scientist Machine Learning jobs? Cities near Spring, TX with the most Internship Applied Scientist Machine Learning job openings:
Internship Applied Scientist Machine Learning jobs near you
Infographic showing various Internship Applied Scientist Machine Learning job openings in Spring, TX as of June 2026, with employment types broken down into 3% Internship, 1% As Needed, 93% Full Time, 1% Part Time, 1% Temporary, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $37,895 per year, or $18.2 per hour.
Artificial Intelligence/Machine Learning Engineer

Artificial Intelligence/Machine Learning Engineer

Soni Resources

Houston, TX • On-site

$100/hr

Full-time

Posted 15 days ago

Job description

The AI/ML Engineer is responsible for designing, building, and deploying intelligent systems that enable predictive insights, automation, and smarter decision-making across the enterprise. This individual operates at the intersection of data science, software engineering, and applied research - translating complex business problems into scalable machine learning solutions that deliver measurable impact.
Key Responsibilities:
  • Develop, train, and optimize machine learning and deep learning models using Python, R, TensorFlow, and PyTorch.
  • Partner with product, engineering, and data teams to identify opportunities where AI can drive efficiency or innovation.
  • Build end-to-end ML pipelines, from data ingestion and feature engineering to model deployment and monitoring.
  • Ensure responsible AI practices through bias detection, model explainability, and continuous model retraining.
  • Stay current on emerging trends in generative AI, NLP, and computer vision to drive future capabilities.

Ideal Background:
  • 5-10 years of experience in applied AI/ML
  • Strong foundation in statistics, algorithms, and data engineering.
  • Proven success deploying models in production environments (e.g., AWS Sagemaker, Azure ML).
  • Advanced degree in Computer Science, Data Science, or related field preferred.
Soni Resources logo

About Soni Resources

Sourced by ZipRecruiter

Soni is a premier staffing & recruitment company that is disrupting the human capital management space. Headquartered in New York, Soni has presence in 23 markets across the United States. We support each professional relationship with a cutting-edge approach, industry-leading insights, and a human touch. We are trusted to help companies and individuals tackle their challenges and capture their greatest opportunities. We are minority-owned, and diversity & inclusion is in our DNA. We are committed to creating environments where people are empowered to be their authentic selves.

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

View All Soni Resources Jobs

Apply