Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer (AI): Building and maintaining real-time automated data pipelines and GeniusIQ products with an accent on integrating Computer Vision and ML models into production environments. Focus on designing scalable distributed systems, orchestration layers, and human-in-the-loop workflows to ensure reliability for global sporting events.
Location: Must be based in Los Angeles, California, United States (Hybrid office-first culture).
Salary: $160,000 - $180,000
Company
is a global leader in sports data technology, delivering immersive and personalized experiences for fans through next-gen live data and AI-driven products.
What you will do
- Design and develop systems powering real-time GeniusIQ products, including tracking data, analytics, and video feeds.
- Implement features end-to-end, managing the lifecycle from on-premise hardware configuration to real-time product delivery.
- Lead technical discussions and drive architectural decisions to improve scalability and operational efficiency.
- Build and maintain the foundational platform supporting development and iteration by other engineering teams.
- Design testing and release strategies for complex distributed systems, including backend services and real-time model inference.
- Develop mechanisms for human-in-the-loop workflows to validate and enhance system outputs.
Requirements
- Experience operating distributed systems.
- Experience building real-time, interactive web frontends.
- Experience designing APIs and integrating services.
- Experience managing relational databases including schema design and performance tuning.
- Bachelor’s degree in Computer Science or equivalent experience.
- Must be able to work from the Los Angeles office as part of a hybrid model.
Nice to have
- Proficiency in Rust, Elixir, TypeScript, Go, C++, or Python.
- Experience with React, Three.js, or HTML5 Video.
- Knowledge of GraphQL, gRPC, or REST APIs.
- Familiarity with AI/ML model inference systems.
- Experience with AWS, Temporal.io, Docker, Kubernetes, Pulsar, or RabbitMQ.
Culture & Benefits
- Competitive salary and comprehensive benefits plan.
- Commitment to employee wellbeing and professional growth.
- Inclusive working environment focused on belonging and driving change.
- Collaborative office-first culture with hybrid flexibility.
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