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Machine Learning Jobs in Austin, TX (NOW HIRING)

Machine Learning Tutor

Austin, TX · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures that enable scalable, secure, and high-impact adoption across the organization. This role defines end ...

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures that enable scalable, secure, and high-impact adoption across the organization. This role defines end ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning ...

* Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline * Works with data and software engineering team to integrate ...

* Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline * Works with data and software engineering team to integrate ...

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Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do machine learning jobs pay per year?

As of Jul 5, 2026, the average yearly pay for 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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.

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

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
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 Machine Learning jobs in Austin, TX? For Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What cities near Austin, TX are hiring for Machine Learning jobs? Cities near Austin, TX with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Austin, TX as of June 2026, with employment types broken down into 3% Internship, 79% Full Time, 10% Part Time, 3% Temporary, and 5% 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.
Consultant, Machine Learning Engineer

Consultant, Machine Learning Engineer

Dell, Inc.

Round Rock, TX • On-site

$208K - $269K/yr

Full-time

Posted 3 days ago


Job description

Consultant ML Engineer 

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound impact as Consultant ML Engineer on our growing and dynamic team in Round Rock, Texas. 

What you'll achieve 

Lead the architecture, development, and deployment of enterprise scale ML solutions across Dell's global ecosystem. Drive MLOps standards, build production grade ML services, and collaborate across engineering, product, and platform teams to enable AI at scale.scale ML solutions across Dell's global ecosystem.  As a Consultant Machine Learning Engineer, you will play a pivotal role in advancing our AI and ML capabilities. You will be responsible for designing, building, and operationalizing machine learning systems, including next generation agentic and GenAI powered applications. You will drive and execute our broader AI/ML strategy. You will also be leading Spec Driven Development models for agentic solutions.  A key focus of this role is transforming our services journey through intelligent automation, ML driven decisioning, and autonomous agentic systems. You will work deeply across data pipelines, model development, optimization, and production deployment to deliver scalable, high performance ML solutions. You will also be responsible for owning core Agentic products and conceptualizing agentic models.

You will 

  • Lead the endtoend Agentic lifecycle-from conceptualizing, prototyping and driving delivery with engineering teams.

  • Design and build autonomous AI agents, ML systems, pipelines, and inference services.

  • Work with business leads to imagine agentic products and drive accelerated delivery through Spec Driven Development

  • Implement MLOps practices including CI/CD, model monitoring, drift detection, and automated retraining.

  • Collaborate with Data Engineering and Platform teams to ensure data, infrastructure, and governance readiness.

  • Provide technical leadership while integrating emerging AI/ML technologies and managing production incidents.

Take the First Step Towards Your Dream Career 

Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: 

Essential Requirements: 

  • 12+ years of experience delivering complex AI/ML or applied science systems, including deep learning, machine learning, and LLMbased solutions.

  • Advanced Python expertise with strong knowledge of ETL pipelines (Airflow preferred) and modern datawarehousing concepts.

  • Strong software engineering background with hands-on experience in AI frameworks, cloud environments, and domains such as ML, NLP, IR, recommender systems, and LLMs.

  • Proven experience with Docker, Kubernetes, and major cloud platforms (AWS/GCP/Azure), including training, finetuning, and applying LLMs for agentic AI applications.

  • Strong product management and Sr. Exec level presentation and technical story telling capabilities

Desirable Requirements 

  • PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field 

  • Familiarity leveraging graph-based techniques, semantic search, hybrid search systems, and implementing solutions that combine traditional IR methods with machine learning models to enhance search relevancy accuracy and efficiency. Familiarity with large scale data handling when dealing with telemetry systems. 

Compensation

Dell is committed to fair and equitable compensation practices. The compensation range for this position is $208,000 to $269,000.

Benefits and Perks of working at Dell Technologies 

Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com 

Who we are 

We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. 

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. 

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. 


DELL logo

About DELL

Sourced by ZipRecruiter

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We're proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Round Rock, TX, US

Year founded

1984