... analytics, machine learning experts, and product to build new features • Leverage your experience to drive best practices in ML and data engineering Qualifications : Required : • 5+ years of ...
... analytics, machine learning experts, and product to build new features • Leverage your experience to drive best practices in ML and data engineering Qualifications : Required : • 5+ years of ...
Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... Strong analytical and quantitative problem-solving ability. * Excellent communication, relationship ...
Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... Strong analytical and quantitative problem-solving ability. * Excellent communication, relationship ...
Machine Learning Engineer
$150K - $450K/yr
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the ... with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer ...
Quick apply
Machine Learning Engineer
$150K - $450K/yr
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the ... with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer ...
Analyze the impact of integrating new data sources and features into our models. * Build and ... Experience with machine learning techniques such as regression, classification, and clustering.
Analyze the impact of integrating new data sources and features into our models. * Build and ... Experience with machine learning techniques such as regression, classification, and clustering.
Analyze the impact of integrating new data sources and features into our models. * Build and ... Experience with machine learning techniques such as regression, classification, and clustering.
Analyze the impact of integrating new data sources and features into our models. * Build and ... Experience with machine learning techniques such as regression, classification, and clustering.
Senior Staff Machine Learning Engineer, Agentic Systems - Moveworks
Mountain View, CA · On-site
$190 - $280/hr
Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features * Leverage your experience to drive best practices in ML and data ...
Senior Staff Machine Learning Engineer, Agentic Systems - Moveworks
Mountain View, CA · On-site
$190 - $280/hr
Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features * Leverage your experience to drive best practices in ML and data ...
Machine Learning Engineer
Sunnyvale, CA · On-site
The role involves developing machine learning applications, deploying models into production, and performing statistical analysis. Candidates should have a background in computer science and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
The role involves developing machine learning applications, deploying models into production, and performing statistical analysis. Candidates should have a background in computer science and ...
... analysis of image-like data. • Strong knowledge in supervised machine learning and semi-supervised machine learning. • Excellent communication and collaboration skills. Optional but preferred ...
... analysis of image-like data. • Strong knowledge in supervised machine learning and semi-supervised machine learning. • Excellent communication and collaboration skills. Optional but preferred ...
Machine Learning Engineer
Fremont, CA · On-site
... Integrate and analyze heterogeneous datasets, including image data, sensor outputs, voice ... machine learning solutions in production environments. • Strong commitment to writing clean ...
Machine Learning Engineer
Fremont, CA · On-site
... Integrate and analyze heterogeneous datasets, including image data, sensor outputs, voice ... machine learning solutions in production environments. • Strong commitment to writing clean ...
... analysis and data visualization techniques • Understanding of deep learning architectures and algorithms • Excellent problem-solving and critical-thinking skills Company : We are a leading ...
... analysis and data visualization techniques • Understanding of deep learning architectures and algorithms • Excellent problem-solving and critical-thinking skills Company : We are a leading ...
Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features * Leverage your experience to drive best practices in ML and data ...
Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features * Leverage your experience to drive best practices in ML and data ...
Senior Staff Machine Learning Engineer, Agentic Systems - Moveworks
Mountain View, CA · On-site
$190 - $230/hr
Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features * Leverage your experience to drive best practices in ML and data ...
Senior Staff Machine Learning Engineer, Agentic Systems - Moveworks
Mountain View, CA · On-site
$190 - $230/hr
Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features * Leverage your experience to drive best practices in ML and data ...
Machine Learning Engineer
Fremont, CA · On-site
$102K - $144K/yr
Analyze errors of the data, model, and design strategies to overcome them * Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots ...
Machine Learning Engineer
Fremont, CA · On-site
$102K - $144K/yr
Analyze errors of the data, model, and design strategies to overcome them * Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots ...
Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features * Leverage your experience to drive best practices in ML and data ...
Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features * Leverage your experience to drive best practices in ML and data ...
Machine Learning Engineer
San Mateo, CA · On-site +1
... analytics. Responsibilities: * Build and deploy the ML pipelines that power PatternAI's machine learning platform. * Manage MLOps infrastructure to monitor and optimize models. Qualifications ...
Machine Learning Engineer
San Mateo, CA · On-site +1
... analytics. Responsibilities: * Build and deploy the ML pipelines that power PatternAI's machine learning platform. * Manage MLOps infrastructure to monitor and optimize models. Qualifications ...
Machine Learning Engineer
Fremont, CA · On-site
$102K - $144K/yr
Analyze errors of the data, model, and design strategies to overcome them * Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots ...
Machine Learning Engineer
Fremont, CA · On-site
$102K - $144K/yr
Analyze errors of the data, model, and design strategies to overcome them * Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots ...
Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features * Leverage your experience to drive best practices in ML and data ...
Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features * Leverage your experience to drive best practices in ML and data ...
Machine Learning Engineer
San Mateo, CA · On-site
... analytics. Responsibilities: * Build and deploy the ML pipelines that power PatternAI's machine learning platform. * Manage MLOps infrastructure to monitor and optimize models. Qualifications ...
Machine Learning Engineer
San Mateo, CA · On-site
... analytics. Responsibilities: * Build and deploy the ML pipelines that power PatternAI's machine learning platform. * Manage MLOps infrastructure to monitor and optimize models. Qualifications ...
Machine Learning Engineer
San Francisco, CA · On-site
$140 - $210/hr
Perform statistical analysis and apply data mining techniques to diagnose bottlenecks, measure impact, and improve model performance and robustness in production settings. * Deploy machine learning ...
Machine Learning Engineer
San Francisco, CA · On-site
$140 - $210/hr
Perform statistical analysis and apply data mining techniques to diagnose bottlenecks, measure impact, and improve model performance and robustness in production settings. * Deploy machine learning ...
Machine Learning Expert
Palo Alto, CA · On-site
Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only ... Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging ...
Machine Learning Expert
Palo Alto, CA · On-site
Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only ... Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging ...
Sports Analytics Machine Learning information
What is sports analytics machine learning?
Sports analytics machine learning is the application of data science and machine learning techniques to analyze sports data, such as player statistics, game outcomes, and biometric information. Professionals in this field develop models to identify patterns, predict player performance, optimize team strategies, and gain competitive advantages. This work involves collecting large datasets, cleaning and processing data, and using algorithms to extract actionable insights that can benefit teams, coaches, and athletes. Sports analytics with machine learning is increasingly used in professional sports to inform decisions about training, recruitment, and game tactics.
How do sports analytics machine learning professionals typically collaborate with coaches and athletes to impact game strategy?
Sports Analytics Machine Learning professionals often work closely with coaches and athletes by translating complex data insights into practical recommendations. They attend strategy meetings, present findings through visualizations, and help interpret trends that can influence training, player selection, and in-game tactics. Effective communication is key, as these professionals must bridge the gap between technical analyses and real-world sports applications. This collaborative environment not only enhances team performance but also provides opportunities to see the direct impact of your work on the field.
What are the key skills and qualifications needed to thrive as a sports analytics machine learning specialist, and why are they important?
To thrive as a Sports Analytics Machine Learning Specialist, you need a strong background in statistics, data analysis, programming (typically in Python or R), and an understanding of machine learning algorithms, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools, sports databases, and machine learning frameworks like TensorFlow or scikit-learn is essential, along with experience using SQL and data pipelines. Strong problem-solving, communication, and collaboration skills help translate complex data findings into actionable insights for coaches, players, and stakeholders. These skills are crucial for extracting meaningful patterns from vast sports datasets and driving performance improvements or strategic decisions within sports organizations.
What are popular job titles related to Sports Analytics Machine Learning jobs in Sunnyvale, CA?
For Sports Analytics Machine Learning jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Sports Analytics Machine Learning jobs in Sunnyvale, CA look for?
The top searched job categories for Sports Analytics Machine Learning jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Sports Analytics Machine Learning jobs?
Cities near Sunnyvale, CA with the most Sports Analytics Machine Learning job openings:
Full-time
Re-posted 2 days ago
ServiceNow rating
8.3
Based on 10 frontline employees who took The Breakroom Quiz
99th of 247 rated software companies
Job description
Job Summary:
ServiceNow is a global market leader in innovative AI-enhanced technology. The Senior Machine Learning Engineer will be responsible for building and optimizing scalable machine learning infrastructure to support training, evaluation, and deployment of large language models, impacting the way customers experience AI.
Responsibilities:
• Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
• Build abstractions to automate various steps in different ML workflows
• Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features
• Leverage your experience to drive best practices in ML and data engineering
Qualifications:
Required:
• 5+ years of industry experience in Machine Learning, Infrastructure or related fields
• Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
• Experience with building and scaling end-to-end machine learning systems
• Experience building scalable micro services and ETL pipelines
• Expertise in Python and experience with performant language such as C++ or GoLang
• Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.
• A love of research publications in the machine learning and software engineering communities
• Effective communicator with experience collaborating cross-functionally with other teams
Company:
ServiceNow is an AI platform that delivers IT operations, field service management and app engine solutions. Founded in 2004, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
ServiceNow is a global market leader in innovative AI-enhanced technology. The Senior Machine Learning Engineer will be responsible for building and optimizing scalable machine learning infrastructure to support training, evaluation, and deployment of large language models, impacting the way customers experience AI.
Responsibilities:
• Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
• Build abstractions to automate various steps in different ML workflows
• Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features
• Leverage your experience to drive best practices in ML and data engineering
Qualifications:
Required:
• 5+ years of industry experience in Machine Learning, Infrastructure or related fields
• Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
• Experience with building and scaling end-to-end machine learning systems
• Experience building scalable micro services and ETL pipelines
• Expertise in Python and experience with performant language such as C++ or GoLang
• Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.
• A love of research publications in the machine learning and software engineering communities
• Effective communicator with experience collaborating cross-functionally with other teams
Company:
ServiceNow is an AI platform that delivers IT operations, field service management and app engine solutions. Founded in 2004, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
What ServiceNow employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About ServiceNow
Sourced by ZipRecruiter
At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're proud to be one of FORTUNE's 100 Best Companies to Work For® and World's Most Admired Companies® 2022.
Industry
It services
Company size
5,001 - 10,000 Employees
Headquarters location
Santa Clara, CA, US
Year founded
2004