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New Grad Machine Learning Jobs in Austin, TX (NOW HIRING)

Senior Machine Learning Engineer

Austin, TX · On-site +1

$335K - $400K/yr

... prototype new modelling ideas, and conduct offline and online experiments Requirements ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

... prototype new modelling ideas, and conduct offline and online experiments Requirements ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

... prototype new modelling ideas, and conduct offline and online experiments Requirements ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. The Senior Machine Learning ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... Description To be successful, candidates will need a machine learning background, proven software ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... Description To be successful, candidates will need a machine learning background, proven software ...

Showing results 21-40

New Grad Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do new grad machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for new grad machine learning in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What job categories do people searching New Grad Machine Learning jobs in Austin, TX look for? The top searched job categories for New Grad Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for New Grad Machine Learning jobs? Cities near Austin, TX with the most New Grad Machine Learning job openings:
Infographic showing various New Grad Machine Learning job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.

Senior Manager, Machine Learning

News Corporation

Austin, TX • On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Retirement

Posted 5 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 realtor.com 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.

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