Job Description

Machine Learning Engineer II, Trust & Safety

United States, San Mateo, CA

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 wholly-owned subsidiary of Sony Group Corporation.

Mid Level Machine Learning Engineer - Trust and Safety

San Mateo, CA

Do you want to join a Machine Learning team committed to making PlayStation the safest place to play? 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 ranging from predictive safety, content personalizations, search, 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 various machine learning problems such as multilingual text classification, language modeling and multi-modal learning.
• Analyze and produce insights from a large amount 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 to inform and convey our impacts to diverse groups of stakeholders.
• Produce reusable code according to standard methodologies in Python, Scala or Java
• Collaborate with cross-functional teams of technical members and non-technical members in architecture, design and code reviews.

You Bring:

• Masters degree in CS/Statistics/Data Science, with a specialization in machine learning or equivalent technical degree with experience.
• 36 years experience in applied machine learning or related fields.
• Knowledge of responsible AI principles (fairness, explainability, bias mitigation).
• Experience with Python or Scala or Java.
• Experience in developing production-level large-scale ML models and data pipelines.
• Industry work experience in designing and implementing machine learning-based solutions that ideally 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, Prometheus.
• Proficient with Machine learning frameworks such as Tensorflow, PyTorch, MLlib.
• Familiarity with standard methodologies in large-scale Deep Learning training/Inference.
• Experience in cloud-based environments, such as AWS.
• Experience working with custom ML platforms.

Please refer to ourCandidate Privacy Notice for 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 job-related factors which may include knowledge, skills, experience, and location.

In addition, this role is eligible for SIEs 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.

$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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Our vision at PlayStation is to bring out the best in our global team members by creating a sense of belonging, being a place where they can grow, and ensuring everyone feels valued, heard, and supported so we can push the boundaries of play. That vision begins our candidates, and we are working to better understand the diversity of our candidate population.

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Identifying yourself as an individual with a disability is voluntary, and we hope that you will choose to do so. Your answer will be maintained confidentially and will not be seen by selecting officials or anyone else involved in making personnel decisions, nor will it be shared with our accommodations team . Completing the form will not negatively impact you in any way, regardless of whether you have self-identified in the past.

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Job Tags

Full time, Work experience placement, Immediate start, Visa sponsorship, Relocation package,

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