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Sports Analytics Machine Learning Jobs in Riverside, CA

AI/Machine Learning Engineer

Irvine, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

You identify and analyze areas in existing code, model inference workflows, and data pipelines for ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

AI/Machine Learning Engineer

Irvine, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

You identify and analyze areas in existing code, model inference workflows, and data pipelines for ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Senior Machine Learning Engineer

Irvine, CA · On-site

$131K - $173K/yr

  • Medical

  • Life

  • Retirement

... Machine Learning Engineer at Capital Group" We are looking for someone who can take a vague ... Our work reaches across the investment organization, from research analysts to governance ...

Data Scientist - Business Analytics & ML

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The role requires expertise in statistics, machine learning, and computer science to utilize high-performance compute clusters and perform reproducible analyses at scale. This position supports the ...

Data Scientist - Business Analytics & ML

Irvine, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The role requires expertise in statistics, machine learning, and computer science to utilize high-performance compute clusters and perform reproducible analyses at scale. This position supports the ...

Solid Data Science experience (statistical analysis, predictive analytics, machine learning concepts, Python/R a plus) * Demonstrated stakeholder management experience - ability to engage directly ...

Solid Data Science experience (statistical analysis, predictive analytics, machine learning concepts, Python/R a plus) * Demonstrated stakeholder management experience -- ability to engage directly ...

Director, Data Science & Insights

Irvine, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will provide leadership and vision to build and scale advanced analytics, machine learning, and generative AI capabilities that drive measurable business impact across the organization.

Director, Data Science & Insights

Irvine, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will provide leadership and vision to build and scale advanced analytics, machine learning, and generative AI capabilities that drive measurable business impact across the organization.

Showing results 21-40

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 Riverside, CA look for?

The top searched job categories for Sports Analytics Machine Learning jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Sports Analytics Machine Learning jobs?

Cities near Riverside, CA with the most Sports Analytics Machine Learning job openings:

Infographic showing various Sports Analytics Machine Learning job openings in Riverside, CA as of August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 100% In-person job distribution.

Senior Machine Learning Engineer, Sentry Tower

Anduril Industries

Irvine, CA • On-site

$129K - $171K/yr

Full-time

Re-posted 25 days ago


Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,399 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. The role involves owning the entire machine learning stack for the Counter Intrusion team, designing and training multi-sensor object detection models, and developing learning algorithms to optimize autonomous systems.
Responsibilities:
• Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core ML pipelines
• Train and deploy deep learning models for real-time applications
• Collaborate cross-functionally with camera, systems and labeling teams
• Curate datasets for evaluating performance and comparing performance trends over time
• Provide technical mentorship to other junior ML engineers
Qualifications:
Required:
• MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision
• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• 6+ years of experience developing, benchmarking and optimizing ML algorithms on large-scale datasets
• Strong Deep Learning and CV background
• Proficiency in C++ development in a Linux environment
• Experience with Python development and deep learning frameworks such as PyTorch, JAX and TensorFlow
• Experience deploying models with TensorRT and ONNX
• Optimize on-device inference and vision kernels across CPU/GPU/NPU
• Track record of developing and deploying CV models from R&D to production
• Experience writing and maintaining automated continuous integration tests
• Knowledge of system profiling and tuning for latency, memory and power efficiency
• Ability to conduct experiments, ablation studies and create highly detailed reports
• Eligible to obtain and maintain a U.S. Secret security clearance
Preferred:
• Experience in one or more of the following: Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Depth Estimation, Model Pruning and Compression
• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Camera Models, RGB-D and LIDAR Sensor Fusion, Optical Flow
• Experience troubleshooting and analyzing remotely deployed software systems
• 1 year of experience in a technical leadership role
Company:
Anduril Industries is a defense technology company that specializes in developing advanced autonomous systems to enhance national security. Founded in 2017, the company is headquartered in Costa Mesa, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.


What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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