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Machine Learning Jobs in Dallas, TX (NOW HIRING)

Intuit

Staff Machine Learning Engineer

Plano, TX · On-site

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You'll be expected to help ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Senior Machine Learning Engineer Location: Ann Arbor, Michigan Experience Level: 7+ Years Department: Data Science / Engineering Employment Type: Full-time About the Role: We are looking for an ...

Intuit

Staff Machine Learning Engineer

Plano, TX

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You'll be expected ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Tiger Analytics Inc.

Machine Learning Engineer

Plano, TX · On-site

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine ...

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Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ...

Bespoke Labs

Machine Learning Engineer

Arlington, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Dallas, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Mckinney, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Mckinney, TX

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Dallas, TX

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Showing results 1-20

All JobsMachine Learning JobsMachine Learning Jobs in Dallas, TX

Machine Learning information

See Dallas, TX salary details

$23.4K

$39.1K

$80.9K

How much do machine learning jobs pay per year?

As of Jul 5, 2026, the average yearly pay for machine learning in Dallas, TX is $39,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,900.00 and $42,300.00 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 Dallas, TX? The most popular types of Machine Learning jobs in Dallas, TX are:
What are popular job titles related to Machine Learning jobs in Dallas, TX? For Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Dallas, TX look for? The top searched job categories for Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Machine Learning jobs? Cities near Dallas, TX with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Dallas, TX as of June 2026, with employment types broken down into 2% Internship, 81% Full Time, 10% Part Time, 2% Temporary, and 5% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $39,140 per year, or $18.8 per hour.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Intuit

Plano, TX • On-site

Full-time

Posted 5 days ago

Intuit rating

8.3

Company rating: 8.3 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

79th of 202 rated software companies

Job description

Come join Intuit as a Staff Machine Learning Engineer! 

In this role, you’ll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You’ll be expected to help conceive, code, and deploy models at scale using the latest industry tools. Important skills include creating data pipelines, developing and deploying models, and machine learning operations.


Responsibilities

  • Work with AI scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
  • Build 'machine learning ready' feature pipelines.
  • Partner with AI scientists to understand, implement, refine and design machine learning and other algorithms.
  • Run regular A/B tests, gather data, and draw conclusions on the impact of your models.
  • Monitor and maintain production models.
  • Work cross functionally with product managers, AI scientists and product engineers, and communicate results to peers and leaders.
  • Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.



Qualifications

  • BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience.
  • 7+ years of experience
  • Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
  • Knowledge of machine learning techniques (i.e. classification, regression, and clustering).
  • Understand machine learning principles (training, validation, etc.)
  • Knowledge of data query and data processing tools (i.e. SQL)
  • Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
  • Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
  • Experience deploying highly scalable software supporting millions or more users
  • Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
  • Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $ 202,500- 274,000 References Visible links 1. https://www.intuit.com/careers/benefits/full-time-employees/ Mountain View $202500 - $274000
Plano, TX $178500- $241500Employment Type: Full-Time

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