The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the lifecycle of large-scale foundation models, and collaborate with various teams to ensure alignment ...
The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the lifecycle of large-scale foundation models, and collaborate with various teams to ensure alignment ...
The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the lifecycle of large-scale foundation models, and collaborate with various teams to ensure alignment ...
The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the lifecycle of large-scale foundation models, and collaborate with various teams to ensure alignment ...
The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the lifecycle of large-scale foundation models, and collaborate with various teams to ensure alignment ...
The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the lifecycle of large-scale foundation models, and collaborate with various teams to ensure alignment ...
Principal Machine Learning Engineer
Austin, TX · On-site
$291K - $369K/yr
Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...
Principal Machine Learning Engineer
Austin, TX · On-site
$291K - $369K/yr
Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...
Principal Machine Learning Engineer
$291K - $369K/yr
Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...
Principal Machine Learning Engineer
$291K - $369K/yr
Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...
Principal Machine Learning Engineer
Dallas, TX · On-site
$291K - $369K/yr
Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...
Principal Machine Learning Engineer
Dallas, TX · On-site
$291K - $369K/yr
Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...
Machine Learning Engineer
Austin, TX · On-site
$140K - $180K/yr
🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...
Machine Learning Engineer
Austin, TX · On-site
$140K - $180K/yr
🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...
Machine Learning Engineer
Plano, TX · On-site
Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning model development, data engineering, and modern cloud-based analytics platforms. This role will focus ...
Machine Learning Engineer
Plano, TX · On-site
Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning model development, data engineering, and modern cloud-based analytics platforms. This role will focus ...
Jr-Mid Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to ...
Jr-Mid Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to ...
Machine Learning Engineer
Austin, TX · On-site
Jr-Mid Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to ...
Machine Learning Engineer
Austin, TX · On-site
Jr-Mid Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to ...
Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI-enabled solutions that improve software delivery workflows, automate operational processes, and ...
Quick apply
Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI-enabled solutions that improve software delivery workflows, automate operational processes, and ...
Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative ...
Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative ...
Senior / Staff Machine Learning Engineer
Austin, TX · On-site
$124K - $171K/yr
We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels to drive the development and deployment of machine learning solutions for real-world autonomous systems.
Senior / Staff Machine Learning Engineer
Austin, TX · On-site
$124K - $171K/yr
We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels to drive the development and deployment of machine learning solutions for real-world autonomous systems.
Senior / Staff Machine Learning Engineer
$124K - $171K/yr
About the role We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready ...
Senior / Staff Machine Learning Engineer
$124K - $171K/yr
About the role We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready ...
Senior / Staff Machine Learning Engineer
Austin, TX · On-site
$124K - $171K/yr
About the role We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready ...
Senior / Staff Machine Learning Engineer
Austin, TX · On-site
$124K - $171K/yr
About the role We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready ...
About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...
About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...
Machine Learning Engineer
Austin, TX · On-site
We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...
Machine Learning Engineer
Austin, TX · On-site
We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...
Machine Learning Engineer
San Antonio, TX · On-site
Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...
Machine Learning Engineer
San Antonio, TX · On-site
Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...
Machine Learning Engineer
Austin, TX · On-site
About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...
Machine Learning Engineer
Austin, TX · On-site
About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...
SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...
SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...
Principal Machine Learning Engineer information
See Texas salary details
$68.9K - $80.7K
3% of jobs
$80.7K - $92.4K
9% of jobs
$92.4K - $104.1K
9% of jobs
$110K is the 25th percentile. Wages below this are outliers.
$104.1K - $115.9K
10% of jobs
$115.9K - $127.6K
10% of jobs
The median wage is $136.6K / yr.
$127.6K - $139.3K
14% of jobs
$139.3K - $151.1K
13% of jobs
$158.2K is the 75th percentile. Wages above this are outliers.
$151.1K - $162.8K
15% of jobs
$162.8K - $174.5K
11% of jobs
$174.5K - $186.2K
5% of jobs
$186.2K - $198K
3% of jobs
$68.9K
$137.2K
$198K
How much do principal machine learning engineer jobs pay per year?
As of Jun 29, 2026, the average yearly pay for principal machine learning engineer in Texas is $137,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $161,200.00 per year, depending on experience, location, and employer.
What types of projects and responsibilities can a Principal Machine Learning Engineer typically expect in this role?
Principal Machine Learning Engineers are often tasked with leading the design, development, and deployment of large-scale machine learning models and systems that address key business challenges. In this role, you will collaborate closely with data scientists, engineers, and product managers to define project requirements, architect solutions, and ensure high-quality delivery. You may also guide research initiatives, oversee code and model reviews, and mentor junior engineers, helping to shape the technical direction of the team. Typical responsibilities can range from prototyping and optimizing algorithms to ensuring models are scalable, reliable, and aligned with organizational goals.
What are the key skills and qualifications needed to thrive in the Principal Machine Learning Engineer position, and why are they important?
To thrive as a Principal Machine Learning Engineer, you need advanced expertise in machine learning algorithms, statistical analysis, software engineering, and a strong background in computer science or related fields, often supported by a master's or PhD degree. Familiarity with tools such as Python, TensorFlow, PyTorch, cloud platforms (AWS, GCP, Azure), and relevant certifications strengthens technical capability. Leadership, strategic thinking, effective communication, and mentorship are vital soft skills for guiding teams and collaborating across departments. These competencies are essential for driving innovation, ensuring technical excellence, and influencing organizational AI initiatives.
What does a Principal Machine Learning Engineer do?
A Principal Machine Learning Engineer leads the design, development, and deployment of machine learning models and systems. They set technical strategy, mentor engineers, and collaborate with cross-functional teams to solve complex AI challenges. Their role often includes researching new algorithms, optimizing model performance, and ensuring scalability in production environments. Additionally, they work closely with data scientists, software engineers, and product managers to align ML initiatives with business objectives.
What engineers make $500,000?
Principal Machine Learning Engineers and senior AI specialists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can reach or exceed $500,000 in total compensation, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a strong track record, leadership responsibilities, and sometimes stock options or bonuses.
How much do principal AI engineers make?
Principal AI engineers typically earn between $130,000 and $200,000 annually, with salaries varying based on experience, location, and industry. They often have advanced skills in machine learning, deep learning, and data science, and may receive bonuses or stock options as part of compensation packages.
What is the salary of principal machine learning engineer?
The salary of a principal machine learning engineer typically ranges from $130,000 to $200,000 annually, depending on experience, location, and company size. Senior roles often include bonuses, stock options, and other benefits, reflecting the high level of expertise required in machine learning, data analysis, and software development tools.
Which 5 jobs will survive AI?
Principal Machine Learning Engineers are likely to continue playing a vital role as AI advances, focusing on developing and deploying complex models that require deep expertise in algorithms, data science, and software engineering. Jobs that involve creative problem-solving, strategic decision-making, and tasks requiring human judgment—such as healthcare professionals, educators, and skilled trades—are also expected to persist. Roles emphasizing emotional intelligence, interpersonal skills, and adaptability will remain resilient despite AI automation.
What are popular job titles related to Principal Machine Learning Engineer jobs in Texas? For Principal Machine Learning Engineer jobs in Texas, the most frequently searched job titles are:
- Remote Machine Learning Engineer
- Volunteer Junior Machine Learning Engineer
- Junior Machine Learning Engineer
- Internship Machine Learning Engineer New Grad
- Machine Learning Engineer Apprenticeship
- Flexible Remote Machine Learning Engineer
- Lead Machine Learning Engineer
- Machine Learning Developer
- Machine Learning Engineer
- Embedded Machine Learning Engineer
What job categories do people searching Principal Machine Learning Engineer jobs in Texas look for? The top searched job categories for Principal Machine Learning Engineer jobs in Texas are:
Key responsibilities
Define and champion the strategic vision for AI and foundation models across platforms, shaping the research and technology roadmap.
Lead the end-to-end lifecycle of research, design, and deployment for large-scale foundation models targeting machine-generated data.
Partner with executive leadership, engineering, product, and data science teams to ensure AI solutions align with organizational objectives.
Cisco Systems rating
8.0
Based on 42 frontline employees who took The Breakroom Quiz
47th of 139 rated electronics manufacturers
Job description
Job Summary:
Cisco, through its company Splunk, is building a safer, more resilient digital world with a focus on AI and foundation models. The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the lifecycle of large-scale foundation models, and collaborate with various teams to ensure alignment with organizational objectives.
Responsibilities:
• Set and Drive Vision: Define and champion the strategic vision for AI and foundation models across Splunk and Cisco platforms, shaping the research and technology roadmap to anticipate and address industry‑defining challenges.
• Architect and Lead Breakthroughs: Lead the end‑to‑end lifecycle of research, design, and deployment for large‑scale foundation models targeting machine‑generated data, with deep focus on logs and complementary modalities (time series, traces, events).
• Influence at Scale: Partner with executive leadership, engineering, product, and data science teams to ensure AI solutions align with broader organizational objectives, product strategies, and customer needs.
• Mentorship and Thought Leadership: Cultivate organizational excellence by mentoring senior technical talent, fostering research communities, and driving best practices in AI across global teams.
• Foster Innovation: Embed cutting‑edge research and technological advances into products, driving sustained competitive advantage and transformation at enterprise scale.
Qualifications:
Required:
• PhD in Computer Science, or related quantitative field, plus 7+ years of industry research experience.
• Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling.
• Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
• Experience translating research ideas into production systems.
Preferred:
• Deep NLP & Domain‑Adapted LLMs: Background in building and adapting large‑scale language models (e.g., T5, BERT, LLaMA, GPTs) for specialized domains including structured/unstructured logs, text, and event sequences.
• Log Analytics Expertise – In‑depth knowledge of structured/unstructured system logs, event sequence analysis, anomaly detection, and root cause identification.
• Advanced Anomaly Detection – Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time logs data.
• Multi‑Modal AI Modeling – Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights.
• Large‑Scale Training & Optimization – Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy.
• MLOps & Continuous Learning – Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models.
• Strong Research Track Record – Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications.
Company:
Cisco develops, manufactures, and sells networking hardware, telecommunications equipment, and other technology services and products. It is a sub-organization of Cisco Press. Founded in 1984, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.
Cisco, through its company Splunk, is building a safer, more resilient digital world with a focus on AI and foundation models. The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the lifecycle of large-scale foundation models, and collaborate with various teams to ensure alignment with organizational objectives.
Responsibilities:
• Set and Drive Vision: Define and champion the strategic vision for AI and foundation models across Splunk and Cisco platforms, shaping the research and technology roadmap to anticipate and address industry‑defining challenges.
• Architect and Lead Breakthroughs: Lead the end‑to‑end lifecycle of research, design, and deployment for large‑scale foundation models targeting machine‑generated data, with deep focus on logs and complementary modalities (time series, traces, events).
• Influence at Scale: Partner with executive leadership, engineering, product, and data science teams to ensure AI solutions align with broader organizational objectives, product strategies, and customer needs.
• Mentorship and Thought Leadership: Cultivate organizational excellence by mentoring senior technical talent, fostering research communities, and driving best practices in AI across global teams.
• Foster Innovation: Embed cutting‑edge research and technological advances into products, driving sustained competitive advantage and transformation at enterprise scale.
Qualifications:
Required:
• PhD in Computer Science, or related quantitative field, plus 7+ years of industry research experience.
• Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling.
• Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
• Experience translating research ideas into production systems.
Preferred:
• Deep NLP & Domain‑Adapted LLMs: Background in building and adapting large‑scale language models (e.g., T5, BERT, LLaMA, GPTs) for specialized domains including structured/unstructured logs, text, and event sequences.
• Log Analytics Expertise – In‑depth knowledge of structured/unstructured system logs, event sequence analysis, anomaly detection, and root cause identification.
• Advanced Anomaly Detection – Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time logs data.
• Multi‑Modal AI Modeling – Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights.
• Large‑Scale Training & Optimization – Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy.
• MLOps & Continuous Learning – Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models.
• Strong Research Track Record – Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications.
Company:
Cisco develops, manufactures, and sells networking hardware, telecommunications equipment, and other technology services and products. It is a sub-organization of Cisco Press. Founded in 1984, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Cisco Systems employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Cisco Systems
Sourced by ZipRecruiter
Cisco Systems, a global tech titan based in San Jose, CA, US, operates in the information technology and services industry. Founded in 1984, the company was derived from a project between two computer scientists from Stanford University. They aimed to connect different networks of computer systems at the university, resulting in the first multi-protocol router, and subsequently, the birth of Cisco. As an industry-leading manufacturer of networking hardware and telecommunications equipment, Cisco's product and services range includes routers, switches, firewall devices, and telecommunication technology. The company's mission, "to shape the future of the Internet by creating unprecedented value and opportunity for our customers, employees, investors, and ecosystem partners," is a testament to its pursuit of technology-forward innovation and customer satisfaction.
Industry
Computer and computer peripheral equipment and software wholesalers
Company size
10,000+ Employees
Headquarters location
San Jose, CA, US
Year founded
1984