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Entry Level Machine Learning Engineer Jobs in Austin, TX

Varsity Tutors

Machine Learning Tutor

San Marcos, TX · Remote

$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 ...

Varsity Tutors

Machine Learning Tutor

Austin, TX · Remote

$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 ...

Varsity Tutors

Machine Learning Tutor

Round Rock, TX · Remote

$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 ...

Apptronik

Data Platform Engineer

Austin, TX

$113.50K - $136.30K/yr

You will work at the intersection of robotics, cloud infrastructure, and machine learning, ensuring ... Stay current on data engineering practices, distributed systems design, and emerging technologies ...

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Entry Level Machine Learning Engineer information

See Austin, TX salary details

$29.7K

$68.8K

$117K

How much do entry level machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for entry level machine learning engineer in Austin, TX is $68,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $77,800.00 per year, depending on experience, location, and employer.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
More about Entry Level Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Austin, TX? The most popular types of Machine Learning Engineer jobs in Austin, TX are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Austin, TX? For Entry Level Machine Learning Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Austin, TX look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Entry Level Machine Learning Engineer jobs? Cities near Austin, TX with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Austin, TX as of May 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $68,752 per year, or $33.1 per hour.
Machine Learning Engineer, Computer Vision - Strategic Data Solutions

Machine Learning Engineer, Computer Vision - Strategic Data Solutions

Apple

Austin, TX • On-site

$55.25 - $73/hr

Full-time

Posted 6 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple's Strategic Data Solutions (SDS) team is looking for a hard-working individual who is passionate about implementing and operating analytical solutions that have direct, measurable impact to Apple and its customers. As a CV MLE on the SDS team, you will build end-to-end solutions for preventing fraud, waste, and abuse while safeguarding the customer experience. The day-to-day work consists of identifying new fraud leads by connecting different data sources together; working with a team of annotators to curate a labeled image dataset; building computer vision pipelines or training ConvNet models; deploying the analytic product into a real-time decisioning platform; and ensuring ongoing operational excellence by monitoring and making operational adjustments. The adversarial nature of fraud and the large scale of the business make for exciting challenges. On this team, we apply a variety of data science approaches towards the mitigation of fraud!
• Translate business needs into technical solutions. Work with program managers, data scientists, and business partners to incorporate analytic solutions into business processes • Explore tabular and image datasets to identify patterns of fraudulent behavior • Move quickly to combat adversarial attacks by developing and deploying updated models • Analyze data and communicate findings to audiences with various technical backgrounds (e.g., engineers, program managers, and executives) • Coordinate with engineers and system administrators to deploy analytics to a real-time decisioning platform • Identify and implement new data science tools to complement the existing capabilities of the team
M.S. or Ph.D. in Computer Science, Machine Learning, Engineering, or other technical field with experience in computer vision or machine learning or equivalent 2 years of proven experiencePractical experience and theoretical understanding of computer vision methods (e.g., local feature matching) or deep learning models (e.g., CNN)Ability to code and debug in a general programming language such as Python or JavaAbility to extract business insights from data and identify the stories behind the patternsAbility to navigate complex systems spanning toolchains and teams
Ability to use a querying language such as SQL to extract insights from dataDemonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impactEffective communication skills to translate complex concepts and analysis into concise, business-focused solutionsTeam-oriented skills and values to facilitate effective collaboration with business and technical partners

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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