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Intern Data Scientist Machine Learning Jobs in Austin, TX

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

Cotality

Senior Machine Learning Scientist

Austin, TX · Hybrid

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable ... Data Analysis: Analyze large, diverse data sets to identify patterns, trends, and insights that ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

Apple Inc.

Data Scientist

Austin, TX · On-site

$100 - $130/hr

Serve as a Data Scientist on the Employee Productivity & Support team. Act as the technical lead ... Develop, validate, and deploy production-level machine learning models, including regression ...

Apple

Data Scientist, AI/ML Model Quality

Austin, TX · On-site

Would you like to contribute to Machine Learning and Generative AI technologies? Are you passionate ... As a Data Scientist, AI/ML Model Quality, you will build and maintain intelligent systems ...

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Showing results 21-40

All JobsIntern Data Scientist Machine Learning JobsIntern Data Scientist Machine Learning Jobs in Austin, TX

Intern Data Scientist Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do intern data scientist machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for intern data scientist machine learning in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

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

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Austin, TX? The most popular types of Data Scientist Machine Learning jobs in Austin, TX are:
What are popular job titles related to Intern Data Scientist Machine Learning jobs in Austin, TX? For Intern Data Scientist Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Intern Data Scientist Machine Learning jobs in Austin, TX look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Intern Data Scientist Machine Learning jobs? Cities near Austin, TX with the most Intern Data Scientist Machine Learning job openings:
Intern Data Scientist Machine Learning jobs near you

Staff Applied Scientist - Machine Learning

Rokt

Austin, TX • On-site

$470K - $615K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

Rokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt ecommerce Network leverages proprietary machine learning systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.
The Role: As a Staff Applied Scientist in the Rokt Brain team, you will lead applied research, experimentation, and model development projects - harnessing a diversity of ML theories, concepts, and models to improve complex systems powering 10 billion+ transactions per year.
Growth: pathways to Principal Applied Scientist (IC Track) and Applied Science Manager/Director (People Leader track) per your preferences and abilities.
Pay: Target total compensation ranges from $470k - $615k, comprised of a fixed annual salary of $290k - $360k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.

Responsibilities:
Technical

  • Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt.
  • Optimise auction and decisioning logic, applying model predictions to maximise value across Rokt’s multi-sided marketplace
  • Conduct applied ML research, prototype new modeling approaches, and rigorously test innovations.
  • Evaluate and improve model performance, ensuring robustness, scalability, and interpretability.
  • Translate complex business needs into practical ML solutions, collaborating with product and engineering teams.
  • Stay ahead of emerging ML trends, contributing to knowledge sharing through tech talks, brown bags, and best practice evangelism.

Leadership

  • Act as technical and project leader of a small team of specialists
  • Provide leadership on complex technical issues,
  • Set standards for technical excellence - from coding to architectural best practices.
  • Work cross-functionally with engineering and product leadership to plan and manage delivery expectations of roadmap items.
  • Actively monitor progress and intervene where required to mitigate risks and bottlenecks, managing expectations within and outside the team.

Requirements

  • PhD or equivalent experience in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval, and experience leading PhD level scientists/engineers on projects.
  • 10+ years of industry experience building production-grade ML systems.

+ Deep expertise in at least two of the following:

  • ML for Ads, E-commerce, or Two-Sided Marketplaces
  • Deep Learning Architectures e.g MMoE, PLE, DCN, Transformers, Graph Neural Networks
  • Bayesian Modelling & Probabilistic Methods
  • Reinforcement Learning (Contextual Bandits, Policy Optimization)
  • Price & Revenue Optimisation
  • Representation Learning & Embeddings
  • Model Optimisation (quantisation, distributed training, GPU optimisation, JIT compilation, mixed precision, inference optimisation)
  • Knowledge Distillation

Hybrid work structure:
Rokt has a 4 day in-office, 1 day remote hybrid structure - with a flexible approach to start/finish times.

Benefits

  • Equity in a profitable, fast-growing company approaching $1 Billion in revenue.
  • Dollar-for-dollar 401K matching plan (up to 4% of fixed annual remuneration)
  • Fully funded health insurance (Dental, Optical, and Medical)
  • Generous allowances for wellness, technology, mobile, and transit.
  • Daily catered lunch, stocked pantry & fridges
  • Extra leave (bonus annual leave, sabbatical leave etc.)

Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Note: The first stage of Rokt's recruitment process is a 15-minute online aptitude test, which will be sent out to your application email. Successful candidates will be contacted on next steps.