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Sports Analytics Machine Learning Jobs in Milpitas, CA

Articul8

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 ...

Walmart

(USA) Staff, Machine Learning Engineer

San Jose, CA · On-site

$169K - $338K/yr

Collaborating with Product, Business, Data, and Platform groups, they apply expertise in predictive analytics, machine learning, and data visualization. Key responsibilities include identifying data ...

Walmart

(USA) Staff, Machine Learning Engineer

Hayward, CA · On-site

$169K - $338K/yr

Collaborating with Product, Business, Data, and Platform groups, they apply expertise in predictive analytics, machine learning, and data visualization. Key responsibilities include identifying data ...

Walmart

(USA) Staff, Machine Learning Engineer

Milpitas, CA · On-site

$169K - $338K/yr

Collaborating with Product, Business, Data, and Platform groups, they apply expertise in predictive analytics, machine learning, and data visualization. Key responsibilities include identifying data ...

Walmart

(USA) Staff, Machine Learning Engineer

Fremont, CA · On-site

$169K - $338K/yr

Collaborating with Product, Business, Data, and Platform groups, they apply expertise in predictive analytics, machine learning, and data visualization. Key responsibilities include identifying data ...

PayPal

Machine Learning Engineer

San Jose, CA

$117K - $138K/yr

Preprocess and analyze datasets to ensure data quality. * Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay ...

Nutanix

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 ...

Jobs for Humanity

Machine Learning Engineers

San Jose, CA · On-site

$136K - $280K/yr

Build machine learning solutions and algorithm strategies by the analysis and mining of a large number of user queries to empower the merchant side and improve the overall matching ability of the ...

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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:

Sports Analytics Machine Learning jobs near you

Machine Learning Engineer

Articul8

Dublin, CA • On-site

Full-time

Re-posted 21 days ago

Job description

About us:
At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same.
Job Description:
We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data generation and data analysis. You will own all work related to acquiring high-quality data to power the training of our domain-specific models end to end. You will work closely with other researchers and engineers to empower our next generation of domain-specific models. We value rapid prototyping, iterating, and shipping new systems quickly.
Required Qualifications:
  • BS/MS/PhD in Computer Science or a related field.
  • Proficiency in at least one deep learning framework, such as PyTorch.
  • Experience in machine learning projects in text or vision, e.g., has trained machine learning models to tackle a specific problem.
  • Strong expertise in large stateful distributed systems and data processing.
  • Strong proficiency in building large-scale data processing pipelines, familiar with distributed workload (e.g., multiprocessing, Ray, Docker, Kubernetes).
  • Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code.
  • Excellent problem-solving skills and attention to detail, especially when handling data anomalies and biases to further improve data quality.

Key Competencies
  • Active Github contributions are a big plus.
  • Experience in building large-scale datasets.
  • Familiar with at least one of the following tools for data crawling (e.g. Scrapy), data collection (e.g., VPNs, Selenium), data processing (e.g., Hadoop, Datasketch).
  • Building bespoke data processing libraries from scratch.
  • Keeping up with state-of-the-art techniques for preparing AI training data.
  • Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources.
  • Multilingual which contributes to enriching the language diversity crucial for robust model training.

Responsibilities:
  • Design and develop data processing pipelines, including data extraction, data filtering, data labeling, etc.
  • Implement machine learning models to improve the quality and diversity of data (especially in the data extraction stage), e.g., quality classifier, document layout model, code verification model, etc.
  • Own and lead engineering projects in the area of data acquisition, including web crawling, data ingestion, and processing.
  • Collaborate with our Applied Research, Technology, and Architecture teams to ensure smooth data flow and system operability.
  • Develop and deploy highly scalable distributed systems capable of handling terrabytes of data.
  • Architect and implement algorithms for data indexing and search capabilities.
  • Build and maintain backend services for data storage, including work with key-value databases and synchronization.
  • Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks.

By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.
Your future experience at Articul8 will include continuous learning and growth opportunities as we embark on an exciting journey to disrupt the status quo. If you're excited about joining a team that's passionate about making a difference, we want to hear from you.
If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

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