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Machine Learning Engineer Jobs in Temple, TX (NOW HIRING)

AxisCare

Senior Security Engineer

Waco, TX · On-site

$101K - $139K/yr

  • Medical

  • Dental

  • Vision

Senior Security Engineer Reports To: Director of Engineering Summary AxisCare is hiring a ... We're also building AI-powered products on top of Amazon Bedrock and our own machine learning ...

AxisCare

Senior Security Engineer

Waco, TX · Remote

$101K - $139K/yr

  • Medical

  • Dental

  • Vision

Senior Security Engineer Reports To: Director of Engineering Summary AxisCare is hiring a ... We're also building AI-powered products on top of Amazon Bedrock and our own machine learning ...

AxisCare

Senior Security Engineer

Waco, TX · Remote

$117K - $160K/yr

  • Medical

  • Dental

  • Vision

Senior Security Engineer Reports To: Director of Engineering Summary AxisCare is hiring a ... We're also building AI-powered products on top of Amazon Bedrock and our own machine learning ...

Meta

Critical Facility Engineer

Temple, TX

$88K/yr

The Critical Facility Engineer will be a part of the Facility Operations team responsible for ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

SpaceX

Sr. Industrial Hygienist

Mcgregor, TX · On-site

$14.50 - $18/hr

Partner with operations, engineering, and facilities teams to integrate industrial hygiene controls ... Familiarity with applying AI or machine learning to safety or exposure data. * Experience in high ...

US Corp2Corp

CNC Machinist

Waco, TX · On-site

$18.25 - $24.75/hr

... learning etc. Our company is going through a tremendous growth spurt and we are now interested in ... Must be able to edit and troubleshoot CNC machine code, to produce complex parts to engineering ...

SpaceX

Sr. Industrial Hygienist

Mcgregor, TX · On-site

$14.50 - $18/hr

Partner with operations, engineering, and facilities teams to integrate industrial hygiene controls ... Familiarity with applying AI or machine learning to safety or exposure data. * Experience in high ...

SPI: Schaumburg & Polk

Staff Engineer (EIT)

Waco, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Do As a Civil EIT, you'll assist in the planning, design, and delivery of municipal engineering projects while learning from licensed engineers in a collaborative environment. Your ...

Meta

Administrative Partner

Temple, TX · Hybrid

$86K/yr

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Temple, TX

Machine Learning Engineer information

See Temple, TX salary details

$29.3K

$119.6K

$179.8K

How much do machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer in Temple, TX is $119,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $144,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What job categories do people searching Machine Learning Engineer jobs in Temple, TX look for?

The top searched job categories for Machine Learning Engineer jobs in Temple, TX are:

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Temple, TX as of August 2026, with employment types broken down into 14% Internship, 72% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $119,631 per year, or $57.5 per hour.

Operations Engineer, Applied AI (Application Software)

SpaceX

Mcgregor, TX • Hybrid

Full-time

Posted 22 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

17th of 72 rated aerospace companies

Job description

OPERATIONS ENGINEER, APPLIED AI (APPLICATION SOFTWARE)

As an Operations Engineer on SpaceX's team, you will act as a key technical partner. You'll help internal teams across different programs explore the capabilities of different platforms and design smart, effective strategies for incorporating large language models into their products and infrastructure. This hybrid role blends strong technical depth with strong interpersonal skills to empower different teams within the company to create powerful AI-powered solutions while prioritizing safety and responsible deployment.

You'll collaborate closely with Sales, Product, and Engineering teams to support them from early exploration all the way through successful implementation. Using your engineering background, you will build practical testing approaches and create robust system designs that deliver meaningful results.

RESPONSIBILITIES:

  • Work alongside internal teams to uncover their needs and design technical approaches that closely align with their goals
  • Serve as the main technical point of contact, supporting end-to-end while coordinating with internal teams to ensure strong outcomes
  • Build prototypes and proof-of-concept applications that clearly illustrate effective ways to integrate with Spok/Grok
  • Advise on system-on-system architecture and support teams in developing advanced applications powered by LLMs - Large Language Models
  • Keep current evolving LLM technologies, best practices, and the tools commonly used in fast-moving environments

BASIC QUALIFICATIONS:

  • Bachelor's degree in a STEM or engineering discipline
  • 1+ years of experience working in engineering or operations/process development

PREFERRED SKILLS AND EXPERIENCE:

  • Hands-on experience supporting cross- functional teams and a solid grasp of their fast-paced environment, limited resources, and specific pain points, specifically in engineering disciplines
  • Ability to code along with a track record of developing production-level applications
  • Experience with shipping real-world applications using large language models and related machine learning tools to lead cross-functional groups
  • Knowledge of common LLM techniques including prompt design, evaluation methods, agent systems, and retrieval architecture
  • Previous experience working with AI product design, development, integration, and/or test
  • Demonstrated ability to work under pressure and deliver expeditious results across multiple parallel priorities
  • Previous experience innovating process improvements, AI integrations, and AI system design in an enterprise setting
  • Positive, "can-do" attitude, self-starter, and ability to work in a high-pace dynamic environment

ADDITIONAL REQUIREMENTS:

  • Must be willing to work extended hours and weekends as needed
  • Must be willing to travel up to 25% of the time to visit different sites
  • Ability to pass Air Force background checks for Cape Canaveral and Vandenberg
  • This role requires you to be onsite. Remote and/or hybrid work will not be considered

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US

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