drjobs Mid-Career Machine Learning Engineer - Recommendation Systems

Mid-Career Machine Learning Engineer - Recommendation Systems

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1 Vacancy
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Job Location drjobs

San Francisco, CA - USA

Monthly Salary drjobs

$ 182000 - 273000

Vacancy

1 Vacancy

Job Description

Why PlayStation

PlayStation isnt just the Best Place to Play its also the Best Place to Work. Today were recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5 PlayStation4 PlayStationVR PlayStationPlus 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 whollyowned subsidiary of Sony Group Corporation.

Machine Learning Engineer II

San Francisco CA

Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users The work we do delivers impactful insights to build an increasingly dynamic and interactive experience! The Machine Learning Engineers within the platform engineering group will deliver optimized interactions across PlayStation experiences and systems by designing coding training documenting costeffectively deploying and evaluating very largescale machine learning systems.

We are looking for someone who can build delightful products and experiences for millions in an agile environment collaborating with teamsacross Engineering and Product. Further you will be immersed in groundbreaking ML technologies tools and processes as you help to advance our technical objectives and architectural initiatives.

You Will:

  • Design and develop various machine learning and deep learning models and systems for highimpact consumerfacing applications such as content personalizations and product recommendations.
  • Work with a broad spectrum of stateoftheart machine learning and deep learning technologies in the areas of recommendation systems.
  • 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 crossfunctional teams of technical members and nontechnical 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

You Bring:

  • Masters degree in CS/Statistics/Data Science with a specialization in machine learning or equivalent experience
  • Experience with Python and ideally also Scala or Java
  • Experience in developing ML models for structured data and ideally also unstructured data
  • Industry work experience in designing and implementing largescale machine learningbased solutions that ideally include: recommender systems personalization and A/B testing.
  • Strong machine learning and statistical knowledge

Preferred Qualifications:

  • Proficient with Machine learning frameworks such as Tensorflow PyTorch MLlib
  • Experience with Databricks Spark Tecton Kubernetes Helm Jenkins
  • Familiarity with standard methodologies in largescale DL training/Inference
  • Experience with reducing model serving latency memory footprint
  • Experience in cloudbased environments such as AWS
  • Experience working with custom ML platforms

#LIKS1

Please refer to ourCandidate Privacy Noticefor more information about how we process your personal information and your data protection rights.

At SIE we consider several factors when setting each roles base pay range including the competitive benchmarking data for the market and geographic location.

Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on jobrelated factors which may include knowledge skills experience and location.

In addition this role
is eligible for SIEs toptier benefits package that includes medical dental vision matching 401(k) paid time off wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Clickhere to learn more.

The estimated base pay range for this role is listed below.

$182000 $273000 USD

Employment Type

Full Time

About Company

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