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Sports Ai Software Jobs (NOW HIRING)

GMV

AI Software Engineer

North Brunswick, NJ · On-site +1

$58.75 - $77.75/hr

... AI, Google AI, etc.), and big data architectures to respond to the needs of a society that is ... Join our team activities, events and sports competitions. In addition, we offer Gympass to keep you ...

GMV

AI Software Engineer

Naples, NC · On-site +1

$53.25 - $70.50/hr

... AI, Google AI, etc.), and big data architectures to respond to the needs of a society that is ... Join our team activities, events and sports competitions. In addition, we offer Gympass to keep you ...

GMV

AI Software Engineer

Verona, KY · On-site +1

$51.50 - $68.25/hr

... AI, Google AI, etc.), and big data architectures to respond to the needs of a society that is ... Join our team activities, events and sports competitions. In addition, we offer Gympass to keep you ...

GMV

AI Software Engineer

Anderson, IN · On-site +1

$48.25 - $64/hr

... AI, Google AI, etc.), and big data architectures to respond to the needs of a society that is ... Join our team activities, events and sports competitions. In addition, we offer Gympass to keep you ...

Extend

Senior AI Software Engineer, Internal Enablement

$125K - $165K/yr

... sports and fitness, and much more. Extend is backed by some of the most prominent technology ... We are hiring a Senior AI Software Engineer to change the way we work with AI across the whole ...

Jonas Software

Software Engineer

You don't need prior AI-coding experience, but you must be open to using AI tools in your workflow ... Interest in or familiarity with collegiate sports . Competencies We Value * Problem Solving: Breaks ...

Genius Sports

Software Engineer, GeniusIQ

Los Angeles, CA · On-site

$160K - $180K/yr

You will collaborate with Computer Vision and AI/Machine Learning teams to take models from ... This role will also be eligible to take part in Genius Sports Group's benefits plan. We enjoy an ...

Genius Sports

Senior Software Engineer

Los Angeles, CA · Hybrid

$175K - $220K/yr

Senior Software Engineer Los Angeles, California, United States Genius Sports is enabling a new era ... that powers AI-driven insights about team and player performance, assists our semi-automated ...

Texas Sports Academy Main

Software Engineer

Software Engineer (AI-Forward) As a Software Engineer with Texas Sports Academy, you play a key role in building the software that runs our school - student records, academic mastery tracking ...

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All JobsSports Ai Software Jobs

Sports Ai Software information

See salary details

$48K

$111.8K

$166K

How much do sports ai software jobs pay per year?

As of Jun 16, 2026, the average yearly pay for sports ai software in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Sports AI Software Engineer, and why are they important?

To excel as a Sports AI Software Engineer, you need a strong background in computer science or a related field, proficiency in programming languages like Python or C++, and a solid understanding of machine learning algorithms. Experience with AI frameworks (such as TensorFlow or PyTorch), data analytics, and familiarity with sports data systems are typically required. Strong problem-solving, teamwork, and communication skills help you collaborate with cross-functional teams and translate complex data insights into actionable sports strategies. These abilities are vital for developing innovative AI-driven solutions that enhance performance analysis and decision-making in the sports industry.

What are some common challenges faced by professionals working in Sports AI software development?

Professionals in Sports AI software often encounter challenges such as managing large and complex datasets, ensuring real-time data processing for live events, and balancing accuracy with computational efficiency. Additionally, integrating AI solutions with existing sports analytics platforms and collaborating with coaches or analysts who may not have technical backgrounds can require strong communication skills. Staying updated with the latest advancements in machine learning and sports technology is also crucial for continued success in this dynamic field.

What is the difference between Sports Ai Software vs Sports Data Analyst?

AspectSports Ai SoftwareSports Data Analyst
Required CredentialsTypically no formal degree, familiarity with AI toolsBachelor's degree in sports science, statistics, or related field
Work EnvironmentSoftware platforms, AI development environmentsOffice, sports teams, data analysis labs
Employer & Industry UsageSports tech companies, AI startups, sports analytics firmsSports teams, media outlets, analytics agencies
Common Search & ComparisonYesYes

Sports Ai Software focuses on developing and utilizing AI tools for sports analytics, often requiring technical skills in AI and software development. In contrast, Sports Data Analysts interpret data, generate reports, and provide insights using statistical tools. Both roles are integral to sports analytics but differ in technical complexity and daily tasks.

What is Sports AI software?

Sports AI software refers to applications that use artificial intelligence to analyze sports data, improve athlete performance, and enhance coaching decisions. These tools can process large amounts of data from games, training sessions, and biometric sensors to provide insights on player statistics, injury risks, and tactical strategies. Teams, coaches, and analysts use Sports AI software to gain a competitive edge, make informed decisions, and optimize both individual and team performance. The software is widely used across various sports, from football and basketball to tennis and athletics, and continues to evolve with advancements in AI and machine learning.
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What cities are hiring for Sports Ai Software jobs? Cities with the most Sports Ai Software job openings:
What states have the most Sports Ai Software jobs? States with the most job openings for Sports Ai Software jobs include:
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Sports Ai Software jobs near you
Infographic showing various Sports Ai Software job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $111,845 per year, or $53.8 per hour.

Senior Software Engineer, Sports AI

Genius Sports

Los Angeles, CA • On-site

$160K - $230K/yr

Full-time

Posted 10 days ago

Job description

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.
About the Role
We're looking for a Senior Software Engineer on our Sports AI team to help build the next generation of real-time AI systems powering sports analysis and insights.
These systems transform live sports broadcasts (incorporating signals from video, crowd noise, audio commentary, and text) into a structured understanding of game context and auto-generated insights. The outputs from these systems power a range of products including automated highlight clipping, augmented broadcasts, semi-automatic play-by-play collection, and natural-language insight generation. For example, these systems can detect a goal, attribute it to the correct player, and localize where it occurred on the pitch within seconds by combining crowd noise spikes, commentary signals, and video cues.
This role sits at the intersection of streaming and distributed systems, AI, and product engineering. You'll build and operate real-time pipelines that process noisy, asynchronous inputs under tight latency constraints. These systems combine traditional streaming and data processing techniques with modern multimodal AI models to produce reliable outputs in production.
You'll work on challenges like aligning signals across multiple sources, handling uncertainty and inconsistency in model outputs, and designing systems that degrade gracefully in real-world conditions. We are early in building these capabilities, so the role involves working through ambiguity, experimenting with different approaches, and building new systems from first principles where established patterns don't yet exist.
Key Responsibilities
  • Design, build, and operate real-time streaming systems that convert live sports broadcasts into structured events, attributes, and insights
  • Ingest and synchronize signals from video, audio, commentary, and data feeds under real-world latency and reliability constraints
  • Integrate modern AI models into production systems, including multi-step pipelines where model outputs are composed, validated, and refined
  • Design and implement evaluation and observability frameworks to measure system quality, including offline benchmarks, real-time metrics, and regression testing
  • Develop mechanisms for identifying and handling uncertainty in model outputs, such as confidence scoring, validation checks, and human-in-the-loop workflows where appropriate
  • Own systems end-to-end from early prototypes through production, making key architectural decisions around scalability, reliability, and performance
  • Collaborate closely with product and data partners to shape, prioritize, and ship high-impact systems
  • Mentor engineers and help establish best practices for building and operating applied AI systems in production

Qualifications
  • 5+ years of experience building production-grade software systems
  • Strong software engineering fundamentals including system design, testing, observability, and performance
  • Experience building streaming, data-intensive, and/or distributed systems with real-time constraints
  • Proven ability to design scalable systems that are robust under real-world conditions, including handling partial failures, inconsistent data, and latency tradeoffs
  • Ability to evaluate system quality beyond traditional metrics (e.g., ambiguous or probabilistic outputs)
  • Product-minded: able to translate ambiguous problems into practical, high-impact solutions
  • Strong, demonstrated interest in building AI-powered features or systems; keep up with latest generative AI progress and capabilities
  • Comfortable working in fast-moving, iterative environments with evolving requirements

Preferred Qualifications
  • Hands-on experience integrating LLMs and other ML/AI systems in production workflows via platforms like Vertex AI or AWS Bedrock
  • Experience building or maintaining human-in-the-loop workflows
  • Familiarity with streaming systems and tooling (e.g., Pulsar, Kafka, Flink, etc.)
  • Experience working with audio/video streaming and processing systems, including familiarity with media delivery protocols (e.g., HLS, DASH, RTP), container formats, codecs, and tooling such as FFmpeg or GStreamer
  • Background or strong interest in sports
  • Experience with Rust

The salary for this role is based on an annualized range of $160,000 - $230,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.
We enjoy an 'office-first' culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
As well as a competitive salary and range of benefits, we're committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.
Let us know when you apply if you need any assistance during the recruiting process due to a disability.

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