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Entry Level Machine Learning Engineer Jobs in Waco, TX

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 ...

POWERX

P&C Test Engineer II

Waco, TX · On-site

This role is the bridge between entry-level directed execution and the independence expected at the ... Commitment to continuous learning and professional development through POWERX Academy training ...

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Entry Level Machine Learning Engineer information

See Waco, TX salary details

$26.6K

$61.6K

$104.8K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for entry level machine learning engineer in Waco, TX is $61,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,700.00 and $69,700.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Waco, TX?

For Entry Level Machine Learning Engineer jobs in Waco, TX, the most frequently searched job titles are:

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

The top searched job categories for Entry Level Machine Learning Engineer jobs in Waco, TX are:

What cities near Waco, TX are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Waco, TX with the most Entry Level Machine Learning Engineer job openings:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Waco, TX as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $61,576 per year, or $29.6 per hour.

Operations Engineer, Applied AI (Application Software)

SpaceX

Mcgregor, TX • Hybrid

Full-time

Posted 26 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 150 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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