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GenAI Engineer

Salary

$140k - $160k

Min Experience

3 years

Location

Secaucus, NJ, United States of America(US), 07094

JobType

Full Time

About the job

Info This job is sourced from a job board

About the role

The NBA's Enterprise Generative AI team is seeking a visionary and motivated Software Engineer (early-career) to support the development, deployment, and scaling of cutting-edge Generative AI applications that reimagine how our internal IT systems and business operations function. This role offers a unique opportunity to work alongside senior engineers to build foundational AI infrastructure and products that directly impact the way the NBA operates across departments—ranging from IT automation and support to business intelligence and productivity enhancement.

About the company

The National Basketball Association (NBA) is a global sports and media organization with the mission to inspire and connect people everywhere through the power of basketball. Built around five professional sports leagues: the NBA, WNBA, NBA G League, NBA 2K League and Basketball Africa League, the NBA has established a major international presence with games and programming available in 214 countries and territories in 60 languages, and merchandise for sale in more than 200 countries and territories on all seven continents. NBA rosters at the start of the 2023-24 season featured a record 125 international players from 40 countries and territories. NBA Digital's assets include NBA TV, NBA.com, the NBA App and NBA League Pass. The NBA has created one of the largest social media communities in the world, with more than 2.3 billion likes and followers globally across all leagues, team and player platforms. NBA Cares, the NBA's global social responsibility platform, partners with renowned community-based organizations around the world to address important social issues in the areas of education, inclusion, youth and family development, and health and wellness.

Skills

APIs
AWS
Azure
Business Intelligence
Computer Science
Docker
Engineering
ETL
GCP
Generative AI
GitHub
JavaScript
Kubernetes
LLMOps
LLMs
Machine Learning
Microservices
MLFlow
ML infrastructure
ML models
MLOps
Model deployment
NLP
Node.js
NoSQL
Pipelines
Python
PyTorch
R
React
Research
SageMaker
Security
SharePoint
SQL
Tableau
TensorFlow
Transformers
Weights & Biases