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Artificial Intelligence Machine Learning Engineer information
See Austin, TX salary details
$31.2K - $45.8K
1% of jobs
$45.8K - $60.4K
1% of jobs
$60.4K - $75K
5% of jobs
$75K - $89.6K
6% of jobs
$101.7K is the 25th percentile. Wages below this are outliers.
$89.6K - $104.2K
14% of jobs
$104.2K - $118.8K
14% of jobs
The median wage is $126.1K / yr.
$118.8K - $133.4K
18% of jobs
$133.4K - $148K
14% of jobs
$151K is the 75th percentile. Wages above this are outliers.
$148K - $162.6K
12% of jobs
$162.6K - $177.2K
11% of jobs
$177.2K - $191.8K
5% of jobs
$31.2K
$127.6K
$191.8K
How much do artificial intelligence machine learning engineer jobs pay per year?
What is an artificial intelligence machine learning engineer?
What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?
What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?
What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?
| Aspect | Artificial Intelligence Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWS | Bachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization |
| Work Environment | Develops AI/ML models, coding, deploying algorithms in software environments | Analyzes data, builds models, interprets data insights for business decisions |
| Employer & Industry Usage | Tech companies, AI startups, R&D departments | Finance, healthcare, marketing, consulting firms |
While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Austin, TX?
For Artificial Intelligence Machine Learning Engineer jobs in Austin, TX, the most frequently searched job titles are:
- Machine Learning Engineer New Grad
- Machine Learning Engineer Biotech
- Remote Machine Learning Engineer
- Machine Learning Software Engineer
- Manager Edge Ai Machine Learning
- Machine Learning Engineer Intern
- Urgently Hiring Machine Learning Engineer New Grad
- Embedded Machine Learning Engineer
- Senior Machine Learning Engineer
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Austin, TX look for?
The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Artificial Intelligence Machine Learning Engineer jobs?
Cities near Austin, TX with the most Artificial Intelligence Machine Learning Engineer job openings:

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 8 days ago
ZT Systems rating
8.0
Based on 21 frontline employees who took The Breakroom Quiz
62nd of 161 rated electronics manufacturers
Job description
About The Role
The Principal AI/Machine Learning Engineer will oversee defining and executing ZT's roadmap for applying artificial intelligence and machine learning in manufacturing. The AI/ML Transformation Architect will be the pivotal role in shaping ZT's future-state vision for AI & ML by identifying high-impact use cases, preparing the organization structurally and technically for adoption, and driving successful implementation of applications.
What You Will Do
- Lead or contribute to transformation initiatives, helping set new standards for how ZT approaches manufacturing risk analysis, quality, and continuous improvement.
- Partner with leadership to define the vision and strategy for AI/ML adoption across manufacturing operations.
- Work with factory engineering, quality, and operations to identify, evaluate, and prioritize AI/ML use cases that deliver measurable business value.
- Collaborate across design, quality, manufacturing, test, and supplier engineering to drive solutions that integrate seamlessly into production.
- Define and implement new systems, processes, or frameworks that support the smart factory vision, including automation, metrology, advanced inspection, and predictive analytics.
- Define the organizational, data, and process changes required to prepare the business for AI/ML integration.
- Drive the design, development, and deployment of AI/ML solutions, ensuring successful adoption across factories.
- Apply AI/ML techniques to analyze manufacturing data sets - including metrology, vision inspection, event data, test results - conduct regression analysis, correlation studies, and commonality analysis.
- Leverage deep, data-rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate insights that improve yield, reliability, and throughput.
- Apply advanced statistical and analytical methods (regression, correlation, DOE, SPC, PFMEA, Gauge R&R, commonality studies) to identify, quantify, and control risk in complex manufacturing environments.
- Champion the cultural and operational transformation required for AI/ML success, including training and upskilling the industrial engineering team in new methods and approaches for mathematical computing.
- Serve as the bridge between industrial engineering, factory engineering teams, quality, and IT on AI/ML initiatives.
- Coach and nurture data stakeholders to maximize their potential and facilitate a culture of learning and growth. Act as a thought partner and subject matter expert to refine ideas, generate hypotheses, and analyze data to formulate solutions.
- Demonstrate strong leadership and influence management skills, including the ability to challenge the status quo and manage key senior stakeholders.
- Use predictive analytics to inform PFMEA analyses that will result in actionable process controls, ensuring proactive prevention of variation rather than reactive correction.
What You Bring
The right person for this role is an agent of change and has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a good communicator, and is passionate about enabling the future of cloud computing.
- Advanced degree in Engineering, Computer Science, Data Science, or a related field.
- 10-15 years of experience in high-volume, high-complexity manufacturing, with at least 5 years in leadership or transformation roles (not necessarily people management).
- Demonstrated expertise in statistical and analytical methods such as regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies.
- Fluency with data-driven tools such as Minitab, JMP, Python, R, SQL (or equivalent) to analyze and interpret large, complex datasets.
- Track record of driving measurable improvements in yield, reliability, or process robustness.
- Background in electronics assembly, PCBA, servers, or other high-reliability industries (e.g., aerospace, medical devices, automotive, etc.).
- Experience with applying AI/ML toolsets to statistical problem solving, predictive analytics, or anomaly detection
- Experience coaching or mentoring technical teams to upskill in statistical methods and data-driven decision-making.
- Strong background in leveraging manufacturing data (metrology, vision systems, event logs, quality data) to build AI/ML-enabled solutions.
- Proven ability to drive organizational changes in data-driven transformations.
- Advanced skills in mathematical computing with at least one programming language (e.g. Python, R, Java, or equivalents), and the ability to learn technical methods and tools independently.
- Advanced skills in data visualization / presentation skills, including the ability to simplify results & statistical concepts into simple and actionable insights.
- Excellent communication skills with the ability to engage at both executive and technical levels.
- Ability to convert complex (often data driven) topics to clear overviews and insights.
- Proven ability to perform effectively in a demanding environment with changing workloads and deadlines.
- Growth mindset: believes in continuous learning by dedication of time, effort, and energy.
- Takes independent initiative to complete projects with a sense of urgency.
Nice to Haves
- MBA or exposure to business, finance or economics is advantageous.
- Fluency with continuous improvement / lean programs.
ZT Systems assesses market data to ensure a competitive compensation package is created for all our employees. The typical base salary for this position is expected to be between $141,000 and $ 188,000annually. If hired, the final base salary will be determined on an individual basis taking into consideration experience, skills, knowledge, education and/or certifications.
Base salary is just one component of ZT Systems total rewards philosophy. We take pride in offering a wide range of benefits and perks that appeal to the variety of needs across our diverse employee base. Other rewards may include bonus, paid time off, generous 401k match, tuition reimbursement, wellbeing resources, and more.
We are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this opportunity but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
#ZTMFG2025!
#LI-DH1
#ZTMFGPri2025!
About ZT SystemsAt ZT Systems, a Sanmina Company, you'll get to do work you are proud of alongside smart, passionate people. Every day, there are opportunities to collaborate with the best in the industry to design, build, and deliver impactful solutions to world-class customers. Along the way, you will gain hands-on experience in a fast-paced environment that's challenging, rewarding, and career-defining.
A culture built around our values we work hard and think fast. We view challenges as opportunities-to do better, push harder, and be faster than we were the day before. When we fail, we learn from it and move on together. And when we succeed, we use the momentum to go even further. We create value with everything we do, building the foundation of today-and transforming the future of tomorrow.
Join ZT Systems and help us build technology infrastructure that connects the world.
What We Offer
At ZT Systems, a Sanmina Company, we believe that investing in our people is key to our continued growth and innovation. When you join our team, you'll gain access to a comprehensive and inclusive benefits package designed to support your well-being, financial security, and professional development-both now and in the future.
Compensation & Financial Security
-Competitive base salary
-Performance-based annual bonus eligibility
-401(k) retirement savings plan
-Tuition reimbursement for eligible education programs
Health & Wellness
-Comprehensive medical, dental, and vision coverage with access to leading providers
-Mental health resources and employee wellness support programs-
-Company-paid life and disability insurance
Time Away & Work-Life Balance
-Paid time off (PTO) and company-paid holidays
-Parental leave and family care support programs
Growth & Purpose
-Structured training programs and on-the-job learning opportunities
-Matching gifts and volunteer programs to support causes you care about
These benefits are available to eligible employees and are designed to grow with you as your career evolves. Full benefits and eligibility varies by work location. Learn more about our benefits here.
ZT Group Int'l. is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. ZT Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Please be aware that certain positions may require the applicant to either 1) be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. 1157, or (iv) Asylee under 8 U.S.C. 1158, or 2) be eligible to obtain an export control license or license exception from the Bureau of Industry and Science & U.S. Department of Commerce. All offers of employment will be conditional subject to the foregoing.
What ZT Systems employees say
Pay
Benefits
Hours and flexibility
Workplace
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About ZT Systems
Sourced by ZipRecruiter
Industry
Computer and peripheral equipment manufacturing
Company size
1,001 - 5,000 Employees
Headquarters location
Secaucus, NJ, US
Year founded
1994