... 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 ...
Machine Learning Engineer
Mountain View, CA · On-site +1
$117K - $152K/yr
Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our ...
Machine Learning Engineer
Mountain View, CA · On-site +1
$117K - $152K/yr
Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our ...
PhD in machine learning, computational chemistry, computational biology, computer science, or a related quantitative discipline. * 8+ years experience applying machine learning or advanced analytics ...
PhD in machine learning, computational chemistry, computational biology, computer science, or a related quantitative discipline. * 8+ years experience applying machine learning or advanced analytics ...
... machine learning and on mobile devices ... Our data analytics platform can translate mobile sensor data from real-world human activity into a ...
... machine learning and on mobile devices ... Our data analytics platform can translate mobile sensor data from real-world human activity into a ...
AI / Machine Learning Talent
San Jose, CA · On-site
Analyze real-world system behavior and production data to drive continuous improvements * Partner ... Machine Learning: Model development, evaluation, and optimization * Deep Learning: Frameworks such ...
AI / Machine Learning Talent
San Jose, CA · On-site
Analyze real-world system behavior and production data to drive continuous improvements * Partner ... Machine Learning: Model development, evaluation, and optimization * Deep Learning: Frameworks such ...
Machine Learning Engineer
Mountain View, CA · On-site
$117K - $152K/yr
Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our ...
Machine Learning Engineer
Mountain View, CA · On-site
$117K - $152K/yr
Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our ...
Machine Learning Engineer
Dublin, CA · On-site
$90 - $130/hr
... and data analysis. You will own all work related to acquiring high-quality data to power the ... Experience in machine learning projects in text or vision, e.g., has trained machine learning ...
Machine Learning Engineer
Dublin, CA · On-site
$90 - $130/hr
... and data analysis. You will own all work related to acquiring high-quality data to power the ... Experience in machine learning projects in text or vision, e.g., has trained machine learning ...
Machine Learning Engineers
San Jose, CA · On-site
$194K - $355K/yr
... modeling and data analysis platform - Work with product teams to understand key privacy ... machine learning algorithms and experienced in federated learning frameworks and applications ...
Machine Learning Engineers
San Jose, CA · On-site
$194K - $355K/yr
... modeling and data analysis platform - Work with product teams to understand key privacy ... machine learning algorithms and experienced in federated learning frameworks and applications ...
The DUE Machine Learning team will build and operate scalable machine learning and data systems ... Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design ...
The DUE Machine Learning team will build and operate scalable machine learning and data systems ... Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design ...
Machine Learning Engineer
Dublin, CA · On-site
... and data analysis. You will own all work related to acquiring high-quality data to power the ... Experience in machine learning projects in text or vision, e.g., has trained machine learning ...
Machine Learning Engineer
Dublin, CA · On-site
... and data analysis. You will own all work related to acquiring high-quality data to power the ... Experience in machine learning projects in text or vision, e.g., has trained machine learning ...
Machine Learning Engineer
San Jose, CA · On-site
Strong analytical and quantitative problem-solving ability. * Proficient in one or more programming ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...
Machine Learning Engineer
San Jose, CA · On-site
Strong analytical and quantitative problem-solving ability. * Proficient in one or more programming ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...
Strong analytical and quantitative problem-solving ability. * Proficient in one or more programming ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...
Strong analytical and quantitative problem-solving ability. * Proficient in one or more programming ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...
Machine Learning Engineer
San Jose, CA · On-site
... analyzing metrics such as compile time,QoR, and scalability. Salary Range The pay range below is ... experience in machine learning development, modeloptimizationor ML systems engineering.
Machine Learning Engineer
San Jose, CA · On-site
... analyzing metrics such as compile time,QoR, and scalability. Salary Range The pay range below is ... experience in machine learning development, modeloptimizationor ML systems engineering.
Responsibilities include, but not limited to: - Develop, implement, and optimize machine learning based video processing algorithms - Contribute to data collection, curation, analysis and processing ...
Responsibilities include, but not limited to: - Develop, implement, and optimize machine learning based video processing algorithms - Contribute to data collection, curation, analysis and processing ...
Responsibilities include, but not limited to: - Develop, implement, and optimize machine learning based video processing algorithms - Contribute to data collection, curation, analysis and processing ...
Responsibilities include, but not limited to: - Develop, implement, and optimize machine learning based video processing algorithms - Contribute to data collection, curation, analysis and processing ...
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 Jose, CA · On-site
$188 - $271/hr
Clearly and effectively communicate complex concepts, analysis insights, and modeling results ... Develop and deploy machine learning models using Python, including NumPy and PyTorch frameworks.
New
Machine Learning Engineer
San Jose, CA · On-site
$188 - $271/hr
Clearly and effectively communicate complex concepts, analysis insights, and modeling results ... Develop and deploy machine learning models using Python, including NumPy and PyTorch frameworks.
New
Machine Learning Engineer
Santa Clara, CA · On-site
$123.75 - $185/hr
Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing ... Excellent problem‑solving and data analysis skills. * Strong communication and collaboration ...
Machine Learning Engineer
Santa Clara, CA · On-site
$123.75 - $185/hr
Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing ... Excellent problem‑solving and data analysis skills. * Strong communication and collaboration ...
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 Intern (Singapore)
$35 - $45/hr
Analyze and adapt machine learning models to improve compatibility, performance, and power efficiency on Compute-in-Memory (CIM) and Analog AI hardware architectures. * Develop software frameworks ...
Machine Learning Intern (Singapore)
$35 - $45/hr
Analyze and adapt machine learning models to improve compatibility, performance, and power efficiency on Compute-in-Memory (CIM) and Analog AI hardware architectures. * Develop software frameworks ...
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 job categories do people searching Sports Analytics Machine Learning jobs in Milpitas, CA look for?
The top searched job categories for Sports Analytics Machine Learning jobs in Milpitas, CA are:
What cities near Milpitas, CA are hiring for Sports Analytics Machine Learning jobs?
Cities near Milpitas, CA with the most Sports Analytics Machine Learning job openings:
Full-time
Re-posted 6 days ago
Job description
Job Summary:
Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to address complex business challenges.
Responsibilities:
• Design and develop machine learning models and algorithms
• Train and evaluate models using large datasets
• Optimize and fine-tune models for performance and accuracy
• Collaborate with data scientists and software engineers to integrate models into production systems
• Stay updated with the latest advancements in AI and machine learning
• Ensure the ethical use of AI technologies
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Data Science, or a related field
• Strong programming skills in Python or R
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Knowledge of statistical analysis and data visualization techniques
• Understanding of deep learning architectures and algorithms
• Excellent problem-solving and critical-thinking skills
Company:
We are a leading technology, digital, and outsourcing services company. Founded in 2014, the company is headquartered in , , with a team of 2-10 employees. The company is currently Early Stage.
Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to address complex business challenges.
Responsibilities:
• Design and develop machine learning models and algorithms
• Train and evaluate models using large datasets
• Optimize and fine-tune models for performance and accuracy
• Collaborate with data scientists and software engineers to integrate models into production systems
• Stay updated with the latest advancements in AI and machine learning
• Ensure the ethical use of AI technologies
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Data Science, or a related field
• Strong programming skills in Python or R
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Knowledge of statistical analysis and data visualization techniques
• Understanding of deep learning architectures and algorithms
• Excellent problem-solving and critical-thinking skills
Company:
We are a leading technology, digital, and outsourcing services company. Founded in 2014, the company is headquartered in , , with a team of 2-10 employees. The company is currently Early Stage.