The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the ... Required : • PhD in Computer Science, or related quantitative field, plus 7+ years of industry ...
The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the ... Required : • PhD in Computer Science, or related quantitative field, plus 7+ years of industry ...
Senior Machine Learning Scientist, Climate & Hydrology
Boulder, CO · On-site
$94K - $129K/yr
PhD in machine learning, computational science, Earth science, atmospheric science, hydrology, AI, computer science, or a related quantitative discipline. * 5+ years of postdoctoral, industry, or ...
Senior Machine Learning Scientist, Climate & Hydrology
Boulder, CO · On-site
$94K - $129K/yr
PhD in machine learning, computational science, Earth science, atmospheric science, hydrology, AI, computer science, or a related quantitative discipline. * 5+ years of postdoctoral, industry, or ...
Senior Machine Learning Engineer I // II
Denver, CO · On-site +1
$107K - $147K/yr
The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... Education: A degree in Computer Science, Statistics, or a comparable quantitative field.
Senior Machine Learning Engineer I // II
Denver, CO · On-site +1
$107K - $147K/yr
The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... Education: A degree in Computer Science, Statistics, or a comparable quantitative field.
Senior Data Scientist / AI Machine Learning Research Engineer with Security Clearance
Denver, CO · On-site
$82K - $172K/yr
Master's degree in quantitative field with mathematical underpinnings and at least 5 years' experience. * Experience developing models,. * Strong background in machine learning, mathematics and ...
Senior Data Scientist / AI Machine Learning Research Engineer with Security Clearance
Denver, CO · On-site
$82K - $172K/yr
Master's degree in quantitative field with mathematical underpinnings and at least 5 years' experience. * Experience developing models,. * Strong background in machine learning, mathematics and ...
Sr. Engineer, Machine Learning/Artificial Intelligence
Denver, CO · On-site
$150K - $180K/yr
Apply machine learning and statistical techniques to detect emerging issues, degradation patterns ... related quantitative field * 5-8+ years of hands-on experience in data science, analytics ...
Sr. Engineer, Machine Learning/Artificial Intelligence
Denver, CO · On-site
$150K - $180K/yr
Apply machine learning and statistical techniques to detect emerging issues, degradation patterns ... related quantitative field * 5-8+ years of hands-on experience in data science, analytics ...
Sr. Engineer, Machine Learning/Artificial Intelligence
Greenwood Village, CO · On-site
$150K - $180K/yr
Apply machine learning and statistical techniques to detect emerging issues, degradation patterns ... related quantitative field * 5-8+ years of hands-on experience in data science, analytics ...
Sr. Engineer, Machine Learning/Artificial Intelligence
Greenwood Village, CO · On-site
$150K - $180K/yr
Apply machine learning and statistical techniques to detect emerging issues, degradation patterns ... related quantitative field * 5-8+ years of hands-on experience in data science, analytics ...
Principal Machine Learning Engineer
$291K - $369K/yr
PhD in Computer Science, or related quantitative field, plus7+ years of industry research ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...
Principal Machine Learning Engineer
$291K - $369K/yr
PhD in Computer Science, or related quantitative field, plus7+ years of industry research ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...
Senior Treasury Modeling Researcher
Lone Tree, CO · On-site
$105K - $234K/yr
Have deep expertise in structural and mechanistic modeling, together with strong statistical modeling skills, and the ability to build quantitative models from the ground up; machine learning ...
Senior Treasury Modeling Researcher
Lone Tree, CO · On-site
$105K - $234K/yr
Have deep expertise in structural and mechanistic modeling, together with strong statistical modeling skills, and the ability to build quantitative models from the ground up; machine learning ...
Have deep expertise in structural and mechanistic modeling, together with strong statistical modeling skills, and the ability to build quantitative models from the ground up; machine learning ...
Have deep expertise in structural and mechanistic modeling, together with strong statistical modeling skills, and the ability to build quantitative models from the ground up; machine learning ...
Associate or Manager, Data Science
Greenwood Village, CO · On-site
$150K - $175K/yr
... machine learning, or quantitative modeling, including leadership experience managing teams and enterprise initiatives. * Strong expertise in statistical modeling, machine learning, predictive ...
Associate or Manager, Data Science
Greenwood Village, CO · On-site
$150K - $175K/yr
... machine learning, or quantitative modeling, including leadership experience managing teams and enterprise initiatives. * Strong expertise in statistical modeling, machine learning, predictive ...
... quantitative discipline and 4 years of experience in predictive analytics or data analysis. * 4 years of experience in training and validating statistical, physical, machine learning, and other ...
... quantitative discipline and 4 years of experience in predictive analytics or data analysis. * 4 years of experience in training and validating statistical, physical, machine learning, and other ...
Operationalize machine learning models in production environments and support integration with ... Bachelor's degree or higher in a quantitative discipline such as statistics, mathematics ...
Operationalize machine learning models in production environments and support integration with ... Bachelor's degree or higher in a quantitative discipline such as statistics, mathematics ...
Data Science Team Leader
Denver, CO · On-site
$165K/yr
Astrong track record of designing, building, deploying, and maintaining machine learning models in ... MScor PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or ...
Data Science Team Leader
Denver, CO · On-site
$165K/yr
Astrong track record of designing, building, deploying, and maintaining machine learning models in ... MScor PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or ...
Data Science Team Leader
Denver, CO · On-site
$165K/yr
Astrong track record of designing, building, deploying, and maintaining machine learning models in ... MScor PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or ...
Data Science Team Leader
Denver, CO · On-site
$165K/yr
Astrong track record of designing, building, deploying, and maintaining machine learning models in ... MScor PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or ...
Data Scientist - multiple levels - CLEARANCE and POLYGRAPH REQUIRED
Aurora, CO · On-site
$120K - $220K/yr
Big Data, dataflows, Artificial Intelligence / Machine Learning (AI/ML) familiarity, Analytics in ... and quantitative methods for characterizing, exploring, and assessing large datasets in various ...
Data Scientist - multiple levels - CLEARANCE and POLYGRAPH REQUIRED
Aurora, CO · On-site
$120K - $220K/yr
Big Data, dataflows, Artificial Intelligence / Machine Learning (AI/ML) familiarity, Analytics in ... and quantitative methods for characterizing, exploring, and assessing large datasets in various ...
Manager, Treasury Modeling Researcher
Lone Tree, CO · On-site
$91K - $150K/yr
Have deep expertise in structural and mechanistic modeling, together with strong statistical modeling skills, and the ability to build quantitative models from the ground up; machine learning ...
Manager, Treasury Modeling Researcher
Lone Tree, CO · On-site
$91K - $150K/yr
Have deep expertise in structural and mechanistic modeling, together with strong statistical modeling skills, and the ability to build quantitative models from the ground up; machine learning ...
Have deep expertise in structural and mechanistic modeling, together with strong statistical modeling skills, and the ability to build quantitative models from the ground up; machine learning ...
Have deep expertise in structural and mechanistic modeling, together with strong statistical modeling skills, and the ability to build quantitative models from the ground up; machine learning ...
... and quantitative methods for characterizing, exploring, and assessing large datasets in various ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...
... and quantitative methods for characterizing, exploring, and assessing large datasets in various ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...
... and quantitative methods for characterizing, exploring, and assessing large datasets in various ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...
... and quantitative methods for characterizing, exploring, and assessing large datasets in various ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...
... and quantitative methods for characterizing, exploring, and assessing large datasets in various ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...
... and quantitative methods for characterizing, exploring, and assessing large datasets in various ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...
Overnight Machine Learning Quant information
What is the difference between Overnight Machine Learning Quant vs Quantitative Researcher?
| Aspect | Overnight Machine Learning Quant | Quantitative Researcher |
|---|---|---|
| Credentials | Advanced degrees in CS, Math, or Stats; programming skills | Similar; advanced degrees often required |
| Work Environment | Financial firms, hedge funds, trading desks; fast-paced, data-driven | Financial institutions, research labs; analytical, research-focused |
| Industry Usage | High-frequency trading, algorithmic strategies | Market analysis, model development |
| Work Hours | Overnight shifts aligned with trading hours | Standard business hours, flexible in some cases |
While both roles involve quantitative analysis and programming, Overnight Machine Learning Quants focus on developing models for overnight trading strategies, often working overnight shifts. Quantitative Researchers typically conduct broader market research and model development during regular hours. The roles overlap in skills but differ mainly in work hours and specific application areas.
What are the most commonly searched types of Machine Learning Quant jobs in Colorado? The most popular types of Machine Learning Quant jobs in Colorado are:
What cities in Colorado are hiring for Overnight Machine Learning Quant jobs? Cities in Colorado with the most Overnight Machine Learning Quant job openings:
Cisco Systems rating
8.0
Based on 42 frontline employees who took The Breakroom Quiz
47th of 143 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
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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