Senior Machine Learning Engineering Manager

United States, San Francisco, CA

Applications have closed

PlayStation Global

Erkunde die neue Generation von PlayStation 4- und PS5-Konsolen – erlebe immersives Gaming mit Tausenden Spiele-Hits aus allen Genres, die die Regeln für das, was eine PlayStation-Konsole kann, neu schreiben.

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Why PlayStation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.

Senior Machine Learning Engineering Manager

 

We are looking for a Senior Engineering Manager who will lead teams to deliver multiple impactful machine learning products and capabilities, across multiple areas of ML/AI such as NLP, conversational AI, recommenders, computer vison, etc. You should have a strong technical ability, demonstrated interpersonal skills with the ability to inspire your team to achieve outstanding results in a fast-paced environment. You have previously led or built strong teams of hardworking engineers and you enjoy working with exceptional people.

 

Responsibilities:

  • Lead, coach, mentor and inspire a dedicated team of machine learning engineers to architect, build, deploy and support machine learning and AI systems that provide the best gaming experience for our customers.
  • Lead multiple concurrent projects. Estimate, plan, and slice projects to deliver frequent value to production.
  • Build and develop a high energy, committed, motivated engineering team focusing on engineering and operational excellence to deliver amazing business results.
  • Collaborate across business units and product teams to develop and execute against the team's vision, strategy, and roadmap.
  • Lead day-to-day activities of engineering team using Agile/Scrum methodology.
  • Collaborate with team members from offices in the US, UK and Japan

Requirements:

  • You have built and led high performing ML/AI engineering teams
  • You are experienced in building large scale robust ML/AI systems in production with high scalability and availability
  • Excellent written and verbal communication skills
  • Ability to present technical information in a clear and concise manner to executives and non-technical leaders
  • Solid experience/understanding with one or more following ML/AI areas: natural language understanding, speech/dialog, search, recommendation, reinforcement learning, computer vision.
  • Experience and familiarity with modern MLOps tech stacks and tooling

 

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Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Computer Vision Conversational AI Engineering Machine Learning MLOps NLP Scrum VR

Perks/benefits: Team events

Region: North America
Country: United States
Job stats:  4  0  0

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