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5 дней назад

Senior Software Engineer (AI)

175 000 - 220 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Software Engineer (Fullstack/AI): Building and scaling real-time automated sports data products using AI and Computer Vision with an accent on distributed systems and high-performance APIs. Focus on taking ML models from research to production and designing orchestration layers for global sporting events.

Location: Hybrid in Los Angeles, California, United States

Salary: $175,000 - $220,000

Company

hirify.global is a sports data and technology company delivering immersive, interactive, and personalized experiences for fans worldwide.

What you will do

  • Design and develop real-time systems for tracking data, analytics, and officiating technologies.
  • Implement end-to-end features from on-premise hardware configuration to real-time customer delivery.
  • Drive architectural decisions to improve scalability and operational efficiency for global leagues.
  • Maintain the foundational GeniusIQ platform to support internal engineering teams.
  • Develop testing and release strategies for distributed systems, including model inference and data pipelines.
  • Build human-in-the-loop workflows to validate and enhance system outputs.

Requirements

  • Experience operating distributed systems and designing APIs.
  • Ability to build real-time, interactive web frontends.
  • Proficiency in managing relational databases, including schema design and query optimization.
  • Bachelor’s degree in Computer Science or equivalent experience.
  • Must be based in or able to work hybrid in Los Angeles, California.

Nice to have

  • Proficiency in Rust, Elixir, TypeScript, Go, C++, or Python.
  • Experience with React, Three.js, HTML5 Video, or Canvas.
  • Knowledge of AWS, Temporal.io, Docker, and Kubernetes.
  • Experience with Pulsar, RabbitMQ, or WebAssembly.
  • Familiarity with systems running inference with Computer Vision or AI/ML models.

Culture & Benefits

  • Office-first culture emphasizing collaboration, connection, and learning.
  • Competitive salary and comprehensive benefits plan.
  • Commitment to employee wellbeing and professional career growth.
  • Inclusive working environment where everyone can make a difference.

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