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Sony Interactive Entertainment

Senior to Mid-level Machine Learning Engineer - Content Moderation and Safety

Sony Interactive Entertainment, San Mateo, California, United States, 94409

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Mid Level Machine Learning Engineer – Trust and Safety San Mateo, CA

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 with 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 Group Corporation.

You Will:

Design and develop machine learning and deep learning models and systems for high‑impact consumer applications, including predictive safety, content personalizations, search, virtual assistants, time‑series forecasting, and more.

Work with a broad spectrum of state‑of‑the‑art ML and DL technologies in areas such as multilingual text classification, language modeling, and multi‑modal learning.

Analyze and produce insights from large amounts of dynamic structured and unstructured data using modern big‑data and streaming technologies.

Create metrics and configure A/B testing to evaluate model performance offline and online, communicating impacts to diverse stakeholder groups.

Produce reusable code following standard methodologies in Python, Scala, or Java.

Collaborate with cross‑functional teams of technical and non‑technical members in architecture, design, and code reviews.

You Bring:

Master’s degree in CS/Statistics/Data Science, or a technical degree with specialization in machine learning, plus relevant experience.

3–6 years of experience in applied machine learning or related fields.

Knowledge of responsible AI principles (fairness, explainability, bias mitigation).

Experience with Python, Scala, or Java.

Experience developing production‑level large‑scale ML models and data pipelines.

Industry experience designing and implementing ML‑based solutions that include online safety, voice‑activated conversational systems, recommender systems, search engines, personalization, time‑series forecasting, and A/B testing.

Strong machine learning, statistical, and analytical skills.

Preferred Qualifications:

Prior work in Trust & Safety, security, fraud detection, or adversarial ML.

Experience with Spark, Kubernetes, Jenkins, and Prometheus.

Proficiency with ML frameworks such as TensorFlow, PyTorch, and MLlib.

Familiarity with standard methodologies in large‑scale deep‑learning training and inference.

Experience in cloud‑based environments, such as AWS.

Experience working with custom ML platforms.

Eligible for SIE’s top‑tier benefits package, including medical, dental, vision, 401(k) matching, paid time off, wellness program, and Sony product discounts.

This role may also be eligible for a bonus package.

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

$187,400 — $281,200 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, maternity or parental status, 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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