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Staff Machine Learning Engineer Jobs in Austin, TX

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Showing results 21-40

Staff Machine Learning Engineer information

See Austin, TX salary details

$22.8K

$98.5K

$190.8K

How much do staff machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for staff machine learning engineer in Austin, TX is $98,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $123,900.00 per year, depending on experience, location, and employer.

What are the typical collaboration and leadership responsibilities for a staff machine learning engineer?

As a Staff Machine Learning Engineer, you often serve as a technical leader, partnering with cross-functional teams including data scientists, product managers, and software engineers to develop and deploy machine learning solutions. You will mentor junior engineers, conduct code reviews, and help establish best practices for model development and deployment. In addition to hands-on technical work, you may be responsible for evaluating new tools, contributing to the broader ML strategy, and facilitating knowledge sharing sessions. This collaborative and leadership-focused approach helps ensure consistency, quality, and innovation across machine learning projects.

What are the key skills and qualifications needed to thrive in the staff machine learning engineer position, and why are they important?

To thrive as a Staff Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, data analysis, and typically a strong academic background in computer science or related fields. Experience with Python, TensorFlow, PyTorch, cloud platforms, and a track record of delivering production-level ML systems are crucial, as are advanced degrees or relevant certifications. Strong leadership, communication, and mentoring skills help you effectively guide teams and collaborate across departments. These competencies are essential for designing robust ML solutions, leading technical initiatives, and ensuring successful project delivery in complex organizational environments.

What is a staff machine learning engineer?

A Staff Machine Learning Engineer is a senior-level technical role responsible for designing, deploying, and optimizing machine learning models at scale. They provide technical leadership, mentor other engineers, and drive best practices in ML system architecture. This role often involves collaborating with cross-functional teams, improving model performance, and ensuring the reliability of machine learning solutions in production. Staff ML Engineers typically have deep expertise in algorithms, data infrastructure, and engineering processes. Their work focuses on solving complex problems and influencing the broader ML strategy within an organization.

What are popular job titles related to Staff Machine Learning Engineer jobs in Austin, TX? For Staff Machine Learning Engineer jobs in Austin, TX, the most frequently searched job titles are:
Infographic showing various Staff Machine Learning Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $98,457 per year, or $47.3 per hour.

Staff Machine Learning Engineer - News, Books, and Stocks Team

Socket.dev

Austin, TX • On-site

$150 - $190/hr

Other

Posted 4 days ago


Job description

In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning. Our lively and brilliant distributed team consists of client and machine learning engineers who embody Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our careers! Our team's outstanding retention rate speaks to our strong culture of respect for our teammates as both engineers and people. Would you like to work on such a team, solving hard problems in machine learning? Terrific! Please join us for the next generation of these apps!

DESCRIPTION

Our team is seeking a high-energy and self-driven machine learning engineer who will play a central role in the delivery of scalable services. The team uses machine learning to tackle difficult and complicated problems in the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search, ranking, and much more! As a member of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcoming products that will delight and encourage millions of Apple’s customers every day!

MINIMUM QUALIFICATIONS
  • MS in Machine Learning, Computer Science, or related field.
  • Alternatively, equivalent industry experience to an MS degree is acceptable.
  • At least 5 years of experience shipping machine learning models in products.
  • Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.
  • Experience designing user-facing machine-learning features with interdisciplinary partners.
  • Experience with recommender systems.
  • Experience with text-centric AI/ML (LLMs, document classification, search, etc.)
  • Experience delivering high quality software at scale.
  • Ability to communicate effectively and collaborate with partner teams.
  • Commitment to encouraging an open and inclusive work environment.
PREFERRED QUALIFICATIONS
  • Experience in a technical leadership role.
  • Ph.D. in Machine Learning, Computer Science, or related field.
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