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
$291.50K - $369.10K/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
$291.50K - $369.10K/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 New Grad 2024-2025 -Remote
Houston, TX · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Houston, TX · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
The Woodlands, TX · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
The Woodlands, TX · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Be Seen First
Machine Learning Guru (Autonomous Navigation)**
Houston, TX · Remote
$200K - $300K/yr
Senior/Principal Machine Learning Engineer 200-300k Remote position possible Description * Develop solutions for autonomous driving, from experimentation to full commercialization. * Explore new ...
Quick apply
Be Seen First
Machine Learning Guru (Autonomous Navigation)**
Houston, TX · Remote
$200K - $300K/yr
Senior/Principal Machine Learning Engineer 200-300k Remote position possible Description * Develop solutions for autonomous driving, from experimentation to full commercialization. * Explore new ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
Develop, train, and optimize machine learning and deep learning models using Python, R, TensorFlow, and PyTorch. * Partner with product, engineering, and data teams to identify opportunities where AI ...
Develop, train, and optimize machine learning and deep learning models using Python, R, TensorFlow, and PyTorch. * Partner with product, engineering, and data teams to identify opportunities where AI ...
Develop, train, and optimize machine learning and deep learning models using Python, R, TensorFlow, and PyTorch. * Partner with product, engineering, and data teams to identify opportunities where AI ...
Develop, train, and optimize machine learning and deep learning models using Python, R, TensorFlow, and PyTorch. * Partner with product, engineering, and data teams to identify opportunities where AI ...
You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets. Job Duties:
You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets. Job Duties:
Principal Machine Learning Engineer
Houston, TX · On-site
$291.50K - $369.10K/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
Houston, TX · On-site
$291.50K - $369.10K/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 ...
Senior Machine Learning Engineer, Computer Vision, HD Map and SLAM Houston, TX or SF Bay Area preferred Company Introduction At Bot Auto, we are revolutionizing the transportation of goods with our ...
Senior Machine Learning Engineer, Computer Vision, HD Map and SLAM Houston, TX or SF Bay Area preferred Company Introduction At Bot Auto, we are revolutionizing the transportation of goods with our ...
You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets. Job Duties:
You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets. Job Duties:
You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets. Job Duties:
You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets. Job Duties:
You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets. Job Duties:
Quick apply
You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets. Job Duties:
You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets. Job Duties:
You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets. Job Duties:
You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets. Job Duties:
You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets. Job Duties:
Senior Machine Learning Engineer - Agentic Workflow
$99.80K - $137K/yr
This Role is located in Houston, TX - In office 5x a week We are seeking a Senior Machine Learning Engineer / Platform Engineer to design and build a production-grade agentic workflow platform. This ...
Senior Machine Learning Engineer - Agentic Workflow
$99.80K - $137K/yr
This Role is located in Houston, TX - In office 5x a week We are seeking a Senior Machine Learning Engineer / Platform Engineer to design and build a production-grade agentic workflow platform. This ...
Senior Machine Learning Engineer - Agentic Workflow
Houston, TX · On-site
$99.80K - $137K/yr
This Role is located in Houston, TX - In office 5x a week We are seeking a Senior Machine Learning Engineer / Platform Engineer to design and build a production-grade agentic workflow platform. This ...
Senior Machine Learning Engineer - Agentic Workflow
Houston, TX · On-site
$99.80K - $137K/yr
This Role is located in Houston, TX - In office 5x a week We are seeking a Senior Machine Learning Engineer / Platform Engineer to design and build a production-grade agentic workflow platform. This ...
Senior Machine Learning Engineer - Agentic Workflow
Houston, TX · On-site
$99.80K - $137K/yr
This Role is located in Houston, TX - In office 5x a week We are seeking a Senior Machine Learning Engineer / Platform Engineer to design and build a production-grade agentic workflow platform. This ...
Senior Machine Learning Engineer - Agentic Workflow
Houston, TX · On-site
$99.80K - $137K/yr
This Role is located in Houston, TX - In office 5x a week We are seeking a Senior Machine Learning Engineer / Platform Engineer to design and build a production-grade agentic workflow platform. This ...
Machine Learning Engineer Associate information
See Spring, TX salary details
$36.9K - $44.3K
1% of jobs
$44.3K - $51.6K
6% of jobs
$51.6K - $58.9K
17% of jobs
$59K is the 25th percentile. Wages below this are outliers.
$58.9K - $66.2K
22% of jobs
The median wage is $67.7K / yr.
$66.2K - $73.5K
18% of jobs
$73.5K - $80.9K
10% of jobs
$81.5K is the 75th percentile. Wages above this are outliers.
$80.9K - $88.2K
10% of jobs
$88.2K - $95.5K
8% of jobs
$95.5K - $102.8K
4% of jobs
$102.8K - $110.1K
2% of jobs
$110.1K - $117.5K
2% of jobs
$36.9K
$73.5K
$117.5K
How much do machine learning engineer associate jobs pay per year?
As of Jun 1, 2026, the average yearly pay for machine learning engineer associate in Spring, TX is $73,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $84,500.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?
To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?
Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.
What are Machine Learning Engineer Associates?
Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.
What are the most commonly searched types of Machine Learning Engineer jobs in Spring, TX? The most popular types of Machine Learning Engineer jobs in Spring, TX are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Spring, TX? For Machine Learning Engineer Associate jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Spring, TX look for? The top searched job categories for Machine Learning Engineer Associate jobs in Spring, TX are:
What cities near Spring, TX are hiring for Machine Learning Engineer Associate jobs? Cities near Spring, TX with the most Machine Learning Engineer Associate job openings:
Cisco Systems rating
8.6
Based on 39 frontline employees who took The Breakroom Quiz
15th of 137 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