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Machine Learning Architect Jobs in Austin, TX (NOW HIRING)

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... and transformer architecture. Skilled in communication, problem solving, critical thinking.

This includes idea generation, architecture, design, development, and testing of products ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

This includes idea generation, architecture, design, development, and testing of products ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

... and transformer architecture. Skilled in communication, problem solving, critical thinking ... Experience building data processing pipelines and large scale machine learning systems with ...

... and transformer architecture. Skilled in communication, problem solving, critical thinking ... Experience building data processing pipelines and large scale machine learning systems with ...

... and transformer architecture. Skilled in communication, problem solving, critical thinking ... Experience building data processing pipelines and large scale machine learning systems with ...

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

Learnings from your work will directly influence next-generation device architecture. Job ... for machine learning applications for BCI. * Lead the team by performing at a high standard ...

Learnings from your work will directly influence next-generation device architecture. Job ... for machine learning applications for BCI. * Lead the team by performing at a high standard ...

Understanding of machine learning and deep learning fundamentals * Develop internal tooling as ... Support infrastructure engineering, security engineering, and architecture * Willing to learn and ...

Understanding of machine learning and deep learning fundamentals * Develop internal tooling as ... Support infrastructure engineering, security engineering, and architecture * Willing to learn and ...

Understanding of machine learning and deep learning fundamentals * Develop internal tooling as ... Support infrastructure engineering, security engineering, and architecture * Willing to learn and ...

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... Guide teams through architecture decisions that support responsible adoption and long-term ...

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Machine Learning Architect information

See Austin, TX salary details

$46.1K

$127.6K

$199.7K

How much do machine learning architect jobs pay per year?

As of Jul 2, 2026, the average yearly pay for machine learning architect in Austin, TX is $127,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $164,500.00 per year, depending on experience, location, and employer.

What typical projects or responsibilities might a Machine Learning Architect handle on a daily basis?

A Machine Learning Architect often leads the design and integration of scalable machine learning solutions, working closely with data scientists, engineers, and product managers to translate business problems into technical architectures. Daily tasks may include selecting appropriate ML models, overseeing data pipeline construction, defining system requirements, and ensuring best practices in model deployment and monitoring. They also review code, mentor junior team members, and collaborate across teams to align on project goals and timelines. The role offers a mix of hands-on technical work and strategic planning, providing a dynamic and impactful work environment.

What does a Machine Learning Architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

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

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What are popular job titles related to Machine Learning Architect jobs in Austin, TX? For Machine Learning Architect jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Architect jobs in Austin, TX look for? The top searched job categories for Machine Learning Architect jobs in Austin, TX are:
Machine Learning Engineer

Machine Learning Engineer

Apple

Austin, TX • On-site

Full-time

Posted 13 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 666 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


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 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 optimizing Apple-wide systems & infrastructure. As a member of the fast-paced team, you will have the outstanding and great opportunity to be part of new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers every 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 cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to help develop and implement machine learning algorithms and testing workflows.
Minimum Qualifications
4+ 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, strategic thinking
Attention to detail, data accuracy and quality of output
Preferred Qualifications
PhD or Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelorʼs degree with equivalent experience.
Experience in Search, Recommender Systems, Personalization, 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