Machine Learning Engineer II
Posted on 3/9/2023
INACTIVE
PlayStation Global

1,001-5,000 employees

Online multiplayer gaming and digital media delivery service
Company Overview
Playstation's mission is to deliver new joy, excitement and awe to everyone. The company builds software and hardware for gaming consoles and content.
Consumer Software
Hardware

Company Stage

M&A

Total Funding

N/A

Founded

1994

Headquarters

Foster City, California

Growth & Insights
Headcount

6 month growth

-22%

1 year growth

-22%

2 year growth

-18%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Python
Data Science
Tensorflow
Pytorch
Apache Spark
Java
AWS
Scala
Jenkins
Natural Language Processing (NLP)
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • Masters degree in CS/Statistics/Data Science, with a specialization in machine learning or equivalent experience
  • Experience with Python, and Scala or Java
  • Experience in developing large-scale ML models and data pipelines
  • Industry work experience in designing and implementing machine learning-based solutions that ideally include: voice-activated conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing
  • Strong machine learning, statistical knowledge
Responsibilities
  • Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from content personalizations, search, information extraction to online safety, virtual assistant, time series forecasting and more
  • Work with a broad spectrum of state of the art machine learning and deep learning technologies, in the areas of recommendation systems, natural language processing (e.g. transformer, RNN, BERT), reinforcement learning, time series forecasting
  • Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders
  • Collaborate with cross-functional teams of technical members and non-technical members in architecture, design and code reviews
  • Analyze and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies
  • Produce reusable code according to standard methodologies in Python, Scala or Java
Desired Qualifications
  • Experience with audio data manipulation and signal processing
  • Experience with Spark, Kubernetes, Jenkins, Prometheus
  • Proficient with Machine learning frameworks such as Tensorflow, PyTorch, MLlib
  • Familiarity with standard methodologies in large-scale DL training/Inference
  • Experience in cloud-based environments, such as AWS
  • Experience working with custom ML platforms
  • Experience in building and maintaining online customer-facing microservices