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Mid to Senior Machine Learning Engineer
Posted on 11/3/2022
INACTIVE
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Data Science
Jenkins
Java
Pytorch
Scala
Tensorflow
Natural Language Processing (NLP)
Kubernetes
Python
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: recommender systems, search engines, personalization, time series forecasting, conversational systems, 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, 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 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
PlayStation Global

5,001-10,000 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.
Benefits
  • Health and wellness: Medical (PPO, HDHP, and HMO), dental, vision, disability, employee assistance program, flexible spending accounts, health savings account, student loan repayment assistance, education reimbursement program, wellness reimbursement, identity theft protection, basic and voluntary life and AD&D insurance, business travel accident insurance, 4.5% 401(k) match, commuter program, additional voluntary programs (group legal, pet insurance, auto and home insruance), onsite flu shots and biometric screenings
  • Family and time off: 12 paid holidays, generous PTO, paid parental leave, adoption assistance program, 529 college savings plan match, back-up child care, parental and elder care coaching
  • Perks: Sony product discounts, passport perks program, monthly $10 Playstation Network voucher, employee referral bonus, game launch events
Company Core Values
  • Dreams & Curiosity: Pioneer the future with dreams and curiosity
  • Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints
  • Integrity & Sincerity: Earn the trust for the Sony brand through ethical and responsible conduct
  • Sustainability: Fulfill our stakeholder responsibilities through disciplined business practices