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Associate Full Stack Machine Learning Engineer Jobs in Cedar Creek, TX

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Sr. Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

## Sr. Machine Learning EngineerApplylocations: US TX Remotetime type: Full timeposted on: Posted ... Work on full stack technology, from prototyping to production-ready software.* Work with product ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Full Stack Developer: On behalf of our Technology client, Procom is searching for a Full Stack Developer for a permanent role. This position is a remote position with the team based in Austin, Texas.

Full-Stack Engineer, AI-Native Platform Team Loves top schools. Atheletes Debate Winners and people that do hackathons at schools. Highly competitive team. Location: Austin, TX Work Style: Fully in ...

Full-Stack Engineer, AI-Native Platform Team Loves top schools. Atheletes Debate Winners and people that do hackathons at schools. Highly competitive team. Location: Austin, TX Work Style: Fully in ...

Machine Learning Engineer

Austin, TX · On-site

$138K/yr

The vehicle's compute budget is fixed and already full. Everything you add competes with everything ... Python and a modern deep learning framework , fluently, as your daily working environment. * Enough ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

As a Machine Learning Engineer, you'll design and deliver production-ready AI solutions, develop ... stack, prototype new ideas, and turn innovation into real customer value. We're looking for ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

As a Machine Learning Engineer, you'll design and deliver production-ready AI solutions, develop ... stack, prototype new ideas, and turn innovation into real customer value. We're looking for ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

As a Machine Learning Engineer, you'll design and deliver production-ready AI solutions, develop ... stack, prototype new ideas, and turn innovation into real customer value. We're looking for ...

Full-Stack Engineer, AI-Native Platform Team Loves top schools. Atheletes Debate Winners and people that do hackathons at schools. Highly competitive team. Location: Austin, TX Work Style: Fully in ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimization, and ...

Showing results 41-60

Associate Full Stack Machine Learning Engineer information

See Cedar Creek, TX salary details

$36.9K

$111.6K

$157.8K

How much do associate full stack machine learning engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for associate full stack machine learning engineer in Cedar Creek, TX is $111,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,900.00 and $130,900.00 per year, depending on experience, location, and employer.

Senior Machine Learning Engineer

Austin, TX • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

$121K - $160K/yr

Full-time

Re-posted 8 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 685 frontline employees who took The Breakroom Quiz


Job description

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop the next generation of algorithms used to drive the Apple Online experience! The role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimize Apple-wide systems & infrastructure. As a member of the fast-paced team, you will have the outstanding and great opportunity to work on new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers ever day.
Description
To be successful, candidates will need a machine learning background, proven software development skills, a love of learning. They will also need to be able to collaborate with multi-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to help develop and implement machine learning algorithms and testing workflows.
Minimum Qualifications
Bachelorʼs degree in Computer Science, Statistics, Mathematics with equivalent experience.
5+ years of related experience building high throughput scalable applications or building machine learning models.
Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems.
Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.
Skilled in communication, problem solving, critical thinking Attention to detail, data accuracy and quality of output.
Preferred Qualifications
PhD or Graduate degree with research/work experience using data science techniques (including but not limited to Computer Science, Statistics, Mathematics, etc).
Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture.
Skilled in communication, problem solving, critical thinking.
Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus.
Experience with Spark, TensorFlow, Keras, and PyTorch a plus

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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