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Machine Learning Trainer Jobs in Texas (NOW HIRING)

Understand machine learning principles (training, validation, etc.) * Knowledge of data query and data processing tools (i.e. SQL) * Computer science fundamentals: data structures, algorithms ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137.30K/yr

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in ... Own end-to-end ML pipelines from data ingestion, preprocessing, training, validation, tuning, and ...

Understand machine learning principles (training, validation, etc.) * Knowledge of data query and data processing tools (i.e. SQL) * Computer science fundamentals: data structures, algorithms ...

Senior Machine Learning Engineer

Plano, TX · On-site +1

$100K - $137.30K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve ...

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98.10K - $129.20K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve ...

Machine Learning Engineer II

Houston, TX · On-site

$93.10K - $127.50K/yr

Machine Learning Engineer II About PROS: PROS, Inc. is the leading offer management provider to the ... Build and optimize distributed ML pipelines for large-scale training and low-latency inference.

Machine Learning Engineer II

Houston, TX · On-site

$93.10K - $127.50K/yr

Machine Learning Engineer II About PROS: PROS, Inc. is the leading offer management provider to the ... Build and optimize distributed ML pipelines for large-scale training and low-latency inference.

We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll ... Are familiar with methods of training and fine-tuning large language models, such as distillation ...

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data ... Own problems end-to-end, from data exploration and feature engineering through to model training ...

We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large ... We adhere to these principles in all aspects of employment, including recruitment, hiring, training ...

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124.40K - $171.50K/yr

Develop efficient workflows for training, validation, and testing, incorporating distributed ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

Senior / Staff Machine Learning Engineer

Austin, TX

$124.40K - $171.50K/yr

Develop efficient workflows for training, validation, and testing, incorporating distributed ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124.40K - $171.50K/yr

They are seeking experienced Machine Learning Engineers to drive the development and deployment of ... Develop efficient workflows for training, validation, and testing, incorporating distributed ...

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Machine Learning Trainer information

See Texas salary details

$26.1K

$81.4K

$104.8K

How much do machine learning trainer jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning trainer in Texas is $81,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $103,400.00 per year, depending on experience, location, and employer.

What is a Machine Learning Trainer job?

A Machine Learning Trainer is responsible for preparing and curating datasets, fine-tuning machine learning models, and optimizing algorithms for accuracy and efficiency. They work closely with data scientists and engineers to improve model performance and ensure high-quality training data. This role involves tasks like labeling data, selecting features, and implementing preprocessing techniques. Additionally, they may develop training methodologies and evaluate models using various metrics to enhance their effectiveness.

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

To thrive as a Machine Learning Trainer, you need a solid background in computer science, statistics, and machine learning concepts, often supported by relevant academic degrees and industry experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and certifications like TensorFlow Developer or AWS Machine Learning are valuable assets. Excellent communication, patience, and adaptability allow trainers to effectively convey complex concepts to diverse learners. These skills ensure effective teaching, learner engagement, and successful knowledge transfer in a rapidly evolving technological landscape.

What are the typical challenges faced by a Machine Learning Trainer in the workplace?

Machine Learning Trainers often encounter the challenge of explaining complex algorithms and abstract mathematical concepts to learners with varying levels of expertise. Adapting course materials to suit different learning styles and staying current with the latest advancements in machine learning require continuous self-development. Trainers may also need to collaborate closely with data scientists, engineers, and curriculum developers to ensure their training aligns with real-world applications. Overcoming these challenges not only enhances teaching effectiveness but also contributes to the overall growth of both trainers and their learners.
What are the most commonly searched types of Machine Learning Trainer jobs in Texas? The most popular types of Machine Learning Trainer jobs in Texas are:
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Intuit

Plano, TX

Full-time

Posted 15 hours ago


Intuit rating

8.4

Company rating: 8.4 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

65th of 183 rated software companies


Job description

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 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- $241500

What Intuit employees say

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