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

News Corporation

Senior Manager, Machine Learning

Austin, TX · On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Retirement

The Sr. Manager, Machine Learning is chartered with comprehending and modeling the various paths to monetization at the company. This is a very high visibility role with extremely high upside as you ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

About the role We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready ...

ForeFlight

Staff Machine Learning Engineer

Austin, TX · On-site +1

$208K - $255K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Jeppesen ForeFlight is seeking a Senior Machine Learning Engineer to help build and scale domain-specialized automatic speech recognition (ASR) systems for aviation and operational audio workflows.

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Senior Machine Learning information

See Austin, TX salary details

$24.8K

$79.6K

$162.1K

How much do senior machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior machine learning in Austin, TX is $79,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,100.00 and $102,100.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they address them?

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer?

To thrive as a Senior Machine Learning Engineer, you need a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What is a senior machine learning engineer?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.

What are the most commonly searched types of Machine Learning jobs in Austin, TX?

The most popular types of Machine Learning jobs in Austin, TX are:

What are popular job titles related to Senior Machine Learning jobs in Austin, TX?

For Senior Machine Learning jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning jobs in Austin, TX look for?

The top searched job categories for Senior Machine Learning jobs in Austin, TX are:

Senior Machine Learning jobs near you
Infographic showing various Senior Machine Learning job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $79,581 per year, or $38.3 per hour.

Senior Manager, Machine Learning

Realtor.com Careers

Austin, TX

Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 days ago

Job description

At Realtor.com, Machine Learning is part of our DNA. We process terabytes of data every day, and transform that data into information that powers decisions for millions of home buyers, renters, dreamers, and real estate professionals. We aim to radically simplify home buying/selling and help more people achieve the American dream on our [http://realtor.com|http://realtor.com|smart-link] website and mobile apps.

The Sr. Manager, Machine Learning is chartered with comprehending and modeling the various paths to monetization at the company. This is a very high visibility role with extremely high upside as you will have the ability to directly impact the company's bottom line. As a key member of the team, you will be responsible for the development of a team to execute on innovative concepts, research, predictive modeling, and machine learning algorithms. You will serve as a manager for the machine learning engineers on the team and provide guidance on their individual projects in addition to serving as an expert for any algorithms that you develop or help develop.

A successful candidate is obsessed with understanding the intricacies of the company and how revenue is realized. Using this as a guiding light and conditioning it on fairness, inclusion, and making sure we have a world-class customer experience is what this individual is chartered with. You should have extensive experience in modeling and strong statistical acumen. Additionally, prior experience managing a team is highly desirable.

What You'll Do:

  • Understand the business and data models to effectively query data
  • Effectively partner with product and engineering teams to build new data driven and machine learning based features for enriching the consumer experience of home shoppers, renters and sellers.
  • Supervise exploratory analysis on Realtor.com's wealth of data.
  • Direct development of predictive, explanatory models and machine learning algorithms.
  • Design and build machine learning solutions to drive revenue growth, customer retention and support strategic decision making.
  • Generate descriptive visualizations and presentations to communicate insights.
  • Drive A/B & multivariate tests and design of experiments to facilitate testing of new product and design features, with focus on improving engagement, retention, and conversion.
  • Help improve the scope of our data sets by identifying new data collection and procurement opportunities on an ongoing basis.
  • Mentor a team of machine learning engineers on data exploration, machine learning and developing data-oriented products.
  • Work with a sense of ownership and urgency, advocate for experimentation based, agile culture.
  • Drive a project forward given just a problem and mission statement.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

What You'll Bring:

  • PhD/MS in computer science, statistics, mathematics, operations research or related fields.
  • 8+ years of relevant experience in data science, machine learning or applied statistics.
  • 2+ years managing a team of machine learning engineers.
  • Experience with Machine Learning, NLP and data mining tools and underlying algorithms.
  • Experienced in Python, R, Spark or other languages and frameworks appropriate for large scale analysis of structured and unstructured data.
  • Working experience with relational databases (SQL) and large scale distributed systems.
  • Extensive experience with AWS, GCP, Azure, or equivalent
  • Experience with experiment design and A/B and multivariate tests.
  • Excellent communication and presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
  • Strong ability to coach Machine Learning Engineers, helping them improve their skills and grow their careers
How We Work:
We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.
 
How We Reward You:
Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:
  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location

Apply