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United States, San Francisco, CA

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Senior Machine Learning Engineer, Recommendation Systems

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, cost-effectively deploying and evaluating very large-scale machine learning systems.

We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams-across 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 high-impact consumer applications such as content personalizations and product recommendations.
Work with a broad spectrum of state-of-the-art 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 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

You Bring:

Masters degree in CS/Statistics/Data Science, with a specialization in machine learning
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 large-scale machine learning-based 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 large-scale DL training/Inference
Experience with reducing model serving latency, memory footprint
Experience in cloud-based environments, such as AWS
Experience working with custom ML platforms
Experience working with stakeholders, owning projects, translating requirements, defining milestones, and mentoring junior members

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At SIE, we consider several factors when setting each role’s 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 job-related factors which may include knowledge, skills, experience, and location.

In addition, this role is eligible for SIE’s top-tier 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. Click here to learn more.

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

$182,200—$273,400 USD

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.

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