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Trainee Machine Learning Engineer Jobs in Pflugerville, TX

Machine Learning Engineer L-1

Austin, TX ยท On-site

$80K - $93K/yr

* 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 ...

Machine Learning Engineer L-1

Austin, TX ยท On-site

$80K - $93K/yr

* 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 ...

Machine Learning Engineer

Austin, TX ยท On-site

$138K/yr

About the role We're hiring an experienced ML engineer to work on the models that see. You'll own ... Python and a modern deep learning framework , fluently, as your daily working environment. * Enough ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Machine Learning Engineer

Austin, TX ยท On-site

$138K/yr

About the role We're hiring an experienced ML engineer to work on the models that see. You'll own ... Python and a modern deep learning framework , fluently, as your daily working environment. * Enough ...

Senior Machine Learning Engineer II

Austin, TX ยท On-site

$103K - $142K/yr

They are seeking a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for advanced distributed processing platforms, working ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$103K - $142K/yr

Job Summary : webAI is seeking a Senior Machine Learning Engineer to support their Public Sector initiatives focused on building and optimizing production-ready AI systems. The role involves ...

Senior Machine Learning Engineer II

Austin, TX ยท On-site

$103K - $142K/yr

They are seeking a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for advanced distributed processing platforms, collaborating ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$103K - $142K/yr

Job Summary : webAI is seeking a Senior Machine Learning Engineer to support their Public Sector initiatives focused on building and optimizing production ready AI systems. The role involves ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$121K - $160K/yr

We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimization, and ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$103K - $142K/yr

They are seeking a Senior Machine Learning Engineer to transform prototype models into scalable, efficient, and reliable production systems that operate seamlessly across various hardware ...

Showing results 41-60

Trainee Machine Learning Engineer information

See Pflugerville, TX salary details

$28.7K

$64.5K

$108.6K

How much do trainee machine learning engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for trainee machine learning engineer in Pflugerville, TX is $64,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $70,100.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Machine Learning Engineer vs Junior Data Scientist?

AspectTrainee Machine Learning EngineerJunior Data Scientist
Required CredentialsBasic programming, introductory ML knowledge, possibly a degree in CS or related fieldDegree in Data Science, Statistics, or related field; some programming experience
Work EnvironmentInternship or entry-level role in tech or AI companies, labs, or startupsEntry-level position in data teams across various industries
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and tech firms

While both roles are entry-level and involve working with data, a Trainee Machine Learning Engineer focuses more on developing and deploying machine learning models, whereas a Junior Data Scientist emphasizes data analysis, visualization, and insights. The roles often overlap, but the Trainee ML Engineer is more specialized in ML algorithms and model deployment.

What are popular job titles related to Trainee Machine Learning Engineer jobs in Pflugerville, TX?

For Trainee Machine Learning Engineer jobs in Pflugerville, TX, the most frequently searched job titles are:

What cities near Pflugerville, TX are hiring for Trainee Machine Learning Engineer jobs?

Cities near Pflugerville, TX with the most Trainee Machine Learning Engineer job openings:

Infographic showing various Trainee Machine Learning Engineer job openings in Pflugerville, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Contract, and 1% Nights. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $64,544 per year, or $31 per hour.

Machine Learning Engineer L-1

Austin, TX โ€ข On-site

$80K - $93K/yr

Full-time

Re-posted 16 days ago


Job description


  • 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 models into pipeline
  • Support construction and iteration of product prototypes
  • Support data pipeline engineering and automation
  • Stay up to date with state of the art developments in computer vision tasks
  • Other duties as required by supervisors
Additional Requirements:
  • Due to government contract requirements, applicants are able to get clearance are preferred
  • Experience working in MLOps and building pipelines for deploying ML models
  • Programming skills in Python, C/C++ or Javascript
  • Understanding of machine learning and deep learning fundamentals
  • Develop internal tooling as needed to support ML efforts
  • Production deployment and performance monitoring including code refactoring and optimization as needed
  • Support infrastructure engineering, security engineering, and architecture
  • Willing to learn and work well in a cross functional team environment
  • Fresh graduates are welcome to apply on a full-time basis