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

Expedia

Machine Learning Scientist III

Austin, TX · On-site

$220K/yr

Machine Learning Scientists III Within the AI & Data organization, the Marketplace Science team develops, optimizes and operationalizes applied science driven marketplace levers that support a ...

AtOrchard LLC

Machine Learning Engineer

Austin, TX · On-site

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... Working at the intersection of computer science, marine science, and data analytics, this position ...

1872 Consulting

Machine Learning Engineer

Austin, TX · On-site

Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience • Excellence in Python • Deep expertise in algorithms and data structures • Exposure to ...

Varsity Tutors

Machine Learning Tutor

San Marcos, TX · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Preferred : • Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. • Experience developing ML algorithms for autonomous vehicles or robotics applications. • ...

Varsity Tutors

Machine Learning Tutor

Round Rock, TX · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Austin, TX · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

Utilize your fundamental understanding of neural networks and data science to develop models that serve as the foundation for machine learning applications for BCI. * Lead the team by performing at a ...

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All JobsMachine Learning Scientist JobsMachine Learning Scientist Jobs in Austin, TX

Machine Learning Scientist information

See Austin, TX salary details

$77K

$139.7K

$195.7K

How much do machine learning scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning scientist in Austin, TX is $139,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,177.00 and $155,518.00 per year, depending on experience, location, and employer.

What is a machine learning scientist?

A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.

What does a machine learning scientist do?

A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.

What skills and qualifications are needed to be a machine learning scientist?

To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.

Is machine learning a high paying job?

Machine Learning Scientists typically earn high salaries due to the specialized skills required, such as programming, statistical analysis, and experience with tools like Python and TensorFlow. Salaries vary by industry, experience, and location but are generally above average compared to many other tech roles.

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

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

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

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

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

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

What cities near Austin, TX are hiring for Machine Learning Scientist jobs?

Cities near Austin, TX with the most Machine Learning Scientist job openings:

Machine Learning Scientist jobs near you
Infographic showing various Machine Learning Scientist job openings in Austin, TX as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $139,739 per year, or $67.2 per hour.

Machine Learning Scientist III

Expedia

Austin, TX • On-site

$220K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 8 days ago

Key responsibilities

  • Own machine learning projects end to end, including understanding the business need, defining the approach, execution, launch, measurement, and iteration.

  • Develop and improve the Marketplace Health Model system to identify behaviors related to trust, safety, and marketplace-health risks.

  • Partner with cross-functional stakeholders to understand needs and deliver practical machine learning solutions.

Expedia Group rating

6.9

Company rating: 6.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

8th of 11 rated travel agencies

Job description

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.


Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Machine Learning Scientists III

Within the AI & Data organization, the Marketplace Science team develops, optimizes and operationalizes applied science driven marketplace levers that support a healthy, trusted marketplace. The Marketplace Health team builds systems that detect behaviors indicating trust, safety, and marketplace-health risk before they result in larger issues. This work helps protect traveler trust and supports a reliable experience across Expedia Group's marketplace.
Key Responsibilities


In this role, you will:

  • Own machine learning projects end to end, from understanding the business need and defining the approach through execution, launch, measurement, and iteration.

  • Develop and improve the Marketplace Health Model system to identify behaviors associated with trust, safety, and marketplace-health risks.

  • Translate complex marketplace challenges into scalable machine learning and statistical modeling solutions.

  • Partner closely with product, engineering, operations, trust and safety, and other stakeholders to understand needs and deliver practical solutions.

  • Stay highly engaged with business outcomes by identifying opportunities where machine learning can create meaningful, measurable impact.

  • Proactively evaluate opportunities based on potential return on investment, customer impact, risk reduction, and implementation feasibility.

  • Design experiments and analyses to assess model performance, business outcomes, and marketplace-health improvements.

  • Monitor deployed models and recommend enhancements to maintain quality, reliability, and relevance as marketplace behavior evolves.

  • Communicate technical findings, recommendations, trade-offs, and project progress clearly to both technical and non-technical audiences.

  • Identify gaps, resolve blockers, and advance projects independently while keeping stakeholders aligned.

Experience and Qualifications:

  • Experience developing, evaluating, and applying machine learning models to complex business or product problems.

  • Experience designing, developing, and deploying solutions using large language models (LLMs).

  • Experience with Python, SQL, and common machine learning libraries and frameworks.

  • Experience translating ambiguous problems into measurable objectives, analytical approaches, and actionable recommendations.

  • Experience collaborating with cross-functional stakeholders to deliver machine learning solutions from concept through production.

  • Proficient communication skills, with the ability to explain technical concepts and business implications clearly.

  • Demonstrated ability to work both collaboratively and autonomously, take initiative, and maintain ownership of deliverables.

Preferred Qualifications

  • Experience developing agentic applications or LLM-powered agents.

  • Experience with trust and safety, fraud detection, risk modeling, anomaly detection, behavioral modeling, or marketplace optimization.

  • Experience working with large-scale, imperfect, or evolving datasets.

  • Experience with model monitoring, experimentation, and production machine learning systems.

  • Experience balancing customer trust, business value, operational considerations, and model performance.

#LI-MC1
The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Austin is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.


Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.


Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.


About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.


Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.


Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

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