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Sports Analytics Machine Learning Jobs in Milpitas, CA

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility ... Familiarity with multi-modal data integration and analysis. * Strong problem-solving skills and the ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Contribute to the development and application of advanced analysis methodologies; analyze data ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

Contribute to the development and application of advanced analysis methodologies; analyze data ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

Syntricate Technologies

Machine Learning

Cupertino, CA · On-site

Job Summary : Syntricate Technologies is looking for a Machine Learning expert with a strong ... Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

We have an opening for a Machine Learning and Data Analysis expert to join our team and advance the discipline as well as apply cutting edge tools and techniques to some of society's most important ...

Apple

Machine Learning Evaluation Engineer

Sunnyvale, CA

$150K - $277K/yr

You will analyze large-scale datasets to identify gaps in data quality and coverage and develop ... Strong background in machine learning and computer vision, including classical ML and statistical ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

$9.8K/wk

We have an opening for a Machine Learning and Data Analysis expert to join our team and advance the discipline as well as apply cutting edge tools and techniques to some of society's most important ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

... analysis and data visualization techniques • Understanding of deep learning architectures and algorithms • Excellent problem-solving and critical-thinking skills Company : We are a leading ...

Adobe

Machine Learning Engineer 4

San Jose, CA · On-site

As a Senior Machine Learning Engineer (MLE 40), you will design, build, and deploy models that ... Experience designing and analyzing offline and online evaluations, including A/B testing and ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

We have an opening for a Machine Learning and Data Analysis expert to join our team and advance the discipline as well as apply cutting edge tools and techniques to some of society's most important ...

Adobe, Inc.

Machine Learning Engineer 4

San Jose, CA · On-site

As a Senior Machine Learning Engineer (MLE 40), you will design, build, and deploy models that ... Experience designing and analyzing offline and online evaluations, including A/B testing and ...

Articul8

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 ...

Jobs for Humanity

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 ...

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All JobsSports Analytics Machine Learning JobsSports Analytics Machine Learning Jobs in Milpitas, CA

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

MM International

Fremont, CA • On-site

Contractor

Re-posted 5 days ago

Job description

Role: Machine Learning Engineer

Location: Fremont, CA 

 

once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a general video screening with PV. Then we send the submission to the client

About the Role:

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting factory and warehouse operations. You will transform ambiguous problem statements into robust end-to-end solutions using a variety of machine learning techniques and tools, including supervised learning, convolutional neural networks, and modern frameworks such as PyTorch and Pandas.

You will collaborate closely with partners in production, process, controls, and quality to deliver solutions for the most challenging problems in our operations. Your work will involve evaluating and deploying models in production environments, ensuring rapid and reliable alerting systems, and addressing operational issues as they arise. You must be adept at handling diverse, heterogeneous datasets that span multiple modalities, including images, multi-spectral sensor outputs, voice, text, and tabular data.

Responsibilities

  • Design, develop, and deploy machine learning models for factory and warehouse environments.
  • Collaborate with cross-functional teams to identify, define, and solve high-impact operational challenges.
  • Build and maintain end-to-end machine learning pipelines, from data collection and preprocessing to model deployment and monitoring.
  • Evaluate and compare models using statistical methods to ensure optimal performance and feasibility.
  • Ensure robust alerting and monitoring systems are in place for deployed models to address issues rapidly.
  • Work with diverse datasets, integrating multiple data types such as images, sensor data, voice, text, and tabular information.
  • Write clean, modular, and sustainable code to translate research ideas into production-ready solutions.

Minimum Requirements

  • In-depth knowledge of Python for high-performance, data-intensive applications.
  • Proficiency with at least one modern deep learning framework (e.g., PyTorch, Jax, TensorFlow).
  • Expertise in one or more of the following areas: computer vision, large language models, recommender systems, or operations research.
  • Foundational knowledge of statistics for model comparison and performance assessment.
  • Real-world experience deploying and maintaining machine learning solutions in production environments.
  • Passion for clean, sustainable, and modular code to bring research concepts to practical implementation.

Preferred Qualifications

  • CI/CD, Kubernetes, MLflow, TensorFlow, PyTorch, AWS.
  • Experience working in manufacturing, industrial automation, or warehouse environments.
  • Familiarity with multi-modal data integration and analysis.
  • Strong problem-solving skills and the ability to thrive in ambiguous, fast-paced settings.
  • Excellent communication skills for cross-functional teamwork.