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

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

Data analysis and feature engineering: Apply your expertise to identify and generate features that ... Use machine learning and statistical modelling techniques such as Decision Trees, Logistic ...

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

Data analysis and feature engineering: Apply your expertise to identify and generate features that ... Use machine learning and statistical modelling techniques such as Decision Trees, Logistic ...

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data * Orchestrating and automating complex data engineering ...

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... Identify, analyze, and resolve gaps related to scalability, data readiness, interoperability, and ...

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... Identify, analyze, and resolve gaps related to scalability, data readiness, interoperability, and ...

Machine Learning Engineer, Senior

Austin, TX · On-site

$103K - $142K/yr

... • Analyze field data to identify and address model failure modes. Qualifications : Required : • Demonstrated experience shipping machine learning systems into production under real-world ...

We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll ... Excellent problem-solving and analytical skills, with a proactive approach to challenges. * Ability ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows. Minimum Qualifications Bachelorʼs degree in Computer Science ...

... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...

... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...

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Showing results 1-20

Machine Learning Analyst information

See Austin, TX salary details

$30.7K

$72.6K

$128.8K

How much do machine learning analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning analyst in Austin, TX is $72,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $86,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Analyst, you need strong analytical skills, a solid grasp of statistics and programming languages such as Python or R, and typically a degree in computer science, mathematics, or a related field. Experience with machine learning frameworks like TensorFlow or scikit-learn, data visualization tools such as Tableau, and relevant certifications (e.g., Google Data Analytics) are often expected. Excellent problem-solving, collaboration, and communication abilities help you explain complex results and work effectively with cross-functional teams. Together, these skills ensure you can accurately interpret data, build robust models, and present actionable insights that drive organizational growth.

What is a Machine Learning Analyst job?

A Machine Learning Analyst is responsible for analyzing data, building models, and extracting insights using machine learning techniques. They work with large datasets, clean and preprocess data, and apply statistical methods to drive business decisions. Their role often involves collaborating with data scientists, engineers, and business teams to optimize predictive models. Strong programming skills in Python or R, knowledge of machine learning frameworks, and experience with data visualization are essential for this role.

What are typical projects or tasks a Machine Learning Analyst handles on a daily basis?

Machine Learning Analysts commonly work on tasks such as collecting, cleaning, and analyzing large datasets, developing predictive models, and interpreting results to generate actionable business insights. They may also collaborate closely with data engineers, software developers, and business stakeholders to translate business problems into data-driven solutions. Regular responsibilities include preparing data visualizations, running experiments to improve model performance, and documenting their findings for non-technical audiences. This hands-on work in a team-oriented environment ensures that their analyses directly contribute to key business decisions and continuous improvement.

Is ML a high paying job?

Machine Learning Analysts typically earn above-average salaries compared to many other roles in data science and technology, with compensation often increasing with experience, skills in programming, and knowledge of tools like Python or TensorFlow. The field is considered well-paying due to high demand for expertise in AI and data analysis across industries.

What does a machine learning analyst do?

A machine learning analyst develops and implements algorithms to analyze data and build predictive models. They work with large datasets, use programming languages like Python or R, and often utilize machine learning frameworks to extract insights and support decision-making.

Can I learn ML in 3 months?

A Machine Learning Analyst role requires a solid understanding of programming, statistics, and data analysis. While it is possible to acquire foundational knowledge in three months with intensive study and practical projects, mastering the skills typically takes longer and depends on prior experience and learning pace.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors with extensive experience and specialized skills. These positions often involve leadership, strategic decision-making, and advanced expertise in AI tools, programming languages, and large-scale data management. Compensation at this level reflects significant responsibility and industry demand for top talent in artificial intelligence and machine learning fields.
What job categories do people searching Machine Learning Analyst jobs in Austin, TX look for? The top searched job categories for Machine Learning Analyst jobs in Austin, TX are:
Infographic showing various Machine Learning Analyst job openings in Austin, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $72,600 per year, or $34.9 per hour.

Senior Manager, Machine Learning

Realtor.com Careers

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.
Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.
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

Do the best work of your life at Realtor.com®
Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com®, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.
Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.