Senior Machine Learning Scientist
Novato, CA
Applications have closed
Visual Concepts
Visual Concepts has been a driving force in the video game industry for 30+ years, responsible for the dominating success of the NBA 2K franchise.At Visual Concepts, we believe great games are made by diverse and empowered teams with a shared passion for play. As one of the world’s top game development studios, we have shipped over 100 multi-sku titles to critical acclaim and commercial success. Our teams are independent and entrepreneurial. Our studios in Agoura Hills, Novato, Foothill Ranch, Irvine, Budapest, Shanghai, Austin, Boise, Seoul and Parksville, Canada are committed to artistry and technical innovation, offering top candidates the opportunity to learn and grow with some of the hardest working and most creative minds in the industry.
Who is hiring
We are looking for a resourceful and aspirational machine learning scientist to join a rapidly growing team pioneering innovations in the Data & AI Organization to support Visual Concept studio and NBA2K franchise. This team brings AI, machine learning, statistics, operations research, and economics to the design, operation, and optimization of 2K’s games. We cover the application of algorithmic solutions to matchmaking, player experience personalization, in-game economy, and fraud.
What you will do in this role
- Work closely with game devs, live services, tech, and data engineering teams to identify, frame, and solve problems for NBA2K games through innovative applications of machine learning.
- Research, build, and implement machine learning models and AI algorithms to impact in-game experiences.
- Collaborate with engineers on integrating machine learning solutions with the game and game services.
What we are looking for
Phenomenal technical breadth and depth over machine learning and statistics, experience with deployment and productizing machine learning models, track record of managing and driving projects through cross-team collaborations. You are a solution oriented, creative problem solver, a self-starter with the passion and enthusiasm to drive impact, build whatever is necessary along the way. You are capable and comfortable participating in the decision making on architectural choices when working on complex solutions consisting of multiple components.
Requirements
- Master or PhD in Mathematics, Statistics, Physics, Computer Science, Operations Research, Industrial Engineering, Electrical Engineering, or Economics.
- 2+ Years of experience in machine learning, data science, or applied science roles.
- Solid math and statistics foundation, and expertise in both traditional ML & deep learning.
- Proficient in Python programming and machine learning modeling/computation frameworks such as scikit-learn, PyTorch, Tensorflow, Spark ML
- Proficient in relational database and SQL. Experience with big data technologies such as Apache Spark, NoSQL databases
- Excellent communication skills with both technical and non-technical audience
Bonus Points
- Experience with matchmaking algorithm in either gaming or non-gaming context, recommender systems, simulations, or antifraud problems
- Expertise in mathematical optimization, reinforcement learning, game theory, mechanism design or market design
- Knowledge and experience of RNN, GNN, GAN, Anomaly Detection, and Semi-Supervised Learning.
- Cloud services such as AWS. Familiarity with containerization, container orchestration, serverless, and model serving
To learn more about Visual Concepts and our studio locations, check out our website at www.vcentertainment.com. As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform their essential job functions, and receive other benefits and privileges of employment. Please contact us if you need a reasonable accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Computer Science Deep Learning Economics Engineering Industrial Machine Learning Mathematics ML models NoSQL PhD Physics Python PyTorch RDBMS Recommender systems Reinforcement Learning Research RNN Scikit-learn Spark SQL Statistics TensorFlow
Perks/benefits: Career development
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