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

Sr. Industrial Hygienist

Mcgregor, TX

$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 ...

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 ...

CNC operation and programming * Blueprint reading and technical specifications * Precision ... Workplace cleanliness and organization Interested in learning more? To schedule an interview: TEXT ...

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 ...

Coordinate with data engineering team to scale and deploy models and their related data pipelines ... Design, train, evaluate and implement machine learning algorithms and predictive models. * Work ...

CNC Machinist

Waco, TX

$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 ...

The engineer will be responsible for working with an aircraft LOPA and engineering interior ... Constantly operates a computer and other office productivity machinery. * The person in this ...

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Sr Machine Learning Engineer information

See Temple, TX salary details

$55.3K

$117.6K

$170.5K

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

As of Jul 26, 2026, the average yearly pay for sr machine learning engineer in Temple, TX is $117,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $133,300.00 per year, depending on experience, location, and employer.

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

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What are Sr Machine Learning Engineers?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer, and why are they important?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.
What are popular job titles related to Sr Machine Learning Engineer jobs in Temple, TX? For Sr Machine Learning Engineer jobs in Temple, TX, the most frequently searched job titles are:
What cities near Temple, TX are hiring for Sr Machine Learning Engineer jobs? Cities near Temple, TX with the most Sr Machine Learning Engineer job openings:
Infographic showing various Sr Machine Learning Engineer job openings in Temple, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $117,575 per year, or $56.5 per hour.
Sr. Industrial Hygienist

Sr. Industrial Hygienist

SpaceX

Mcgregor, TX

$14.50 - $18/hr

Other

Posted 24 days ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

14th of 71 rated aerospace companies


Job description

SR. INDUSTRIAL HYGIENIST

As part of the SpaceX Environmental, Health and Safety (EHS) team, you will be the responsible owner of the Business Operations Industrial Hygiene and Ergonomics Programs. This position will be responsible for ensuring that industrial hygiene and ergonomic programs are developed and implemented across all SpaceX locations in addition to being internal expertise for SpaceX EHS leaders.

RESPONSIBILITIES:

  • Develop, implement, and continuously improve industrial hygiene programs across SpaceX facilities, including chemical, noise, and ergonomic exposure assessments.
  • Design and maintain dashboards and metrics to track industrial hygiene performance, exposure trends, and program effectiveness.
  • Identify opportunities to apply data analysis, automation, and AI/ML to improve exposure monitoring, risk prediction, and program efficiency.
  • Partner with operations, engineering, and facilities teams to integrate industrial hygiene controls into new processes and facilities from the design phase.
  • Lead or support exposure monitoring campaigns and interpret results to recommend engineering controls, administrative controls, and PPE.
  • Build and document standardized processes and tools to improve the operational maturity of the industrial hygiene function.
  • Ensure compliance with OSHA, Cal/OSHA, and other applicable regulations while driving beyond-compliance performance.
  • Develop and deliver training programs for employees and leadership on industrial hygiene topics.
  • Support incident investigations and root cause analysis involving potential exposure events.

BASIC QUALIFICATIONS:

  • Bachelor's degree.
  • 5+ years of experience in the design, development, and/or general operational oversight of environmental, health, and safety disciplines.

PREFERRED SKILLS AND EXPERIENCE:

  • Certified Industrial Hygienist (CIH) or working toward certification.
  • Experience with data visualization tools (Tableau, Power BI, or similar) and basic data analysis.
  • Familiarity with applying AI or machine learning to safety or exposure data.
  • Experience in high-volume manufacturing or rapid iteration environments.
  • Knowledge of aerospace or launch vehicle operations.
  • Strong project management and process improvement skills (Lean, Six Sigma, or similar).

ADDITIONAL REQUIREMENTS:

  • Ability to work extended hours and/or weekends as needed.

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