Mid-Level Machine Learning Engineer

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London, Greater London, England, GBR
In-Office
Gaming
The Role

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.

Mid-Level Machine Learning Engineer

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-facing 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 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 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


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.

PlayStation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about PlayStation and has not been reviewed or approved by PlayStation.

  • Healthcare Strength The package includes medical, dental, vision, prescription coverage, mental wellbeing programs, disability, and life insurance. Feedback suggests coverage breadth is a consistent strength that helps anchor overall comp satisfaction.
  • Retirement Support U.S. offerings include a 401(k) with a company match along with student‑loan repayment and a college‑savings plan match. These financial supports are positioned as strong additions to total compensation.
  • Parental & Family Support Offerings include paid parental and family‑care leave, fertility and family‑forming support, backup care, and child developmental resources. Feedback suggests these programs are valued and contribute to a well‑rounded package.

PlayStation Insights

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The Company
HQ: San Mateo, CA
8,768 Employees
Year Founded: 1994

What We Do

PlayStation has been at the forefront of interactive and digital entertainment since the debut of our first console in 1994. Our products delight millions across the world through incredible games, cutting edge experiences and access to many types of media. This commitment to amazing our fans is at the core of who we are and one we share with Sony Corporation, internationally known as a leader in music, movies and consumer electronics. We can only achieve this goal by welcoming talented people and empowering them to do their best work. From game developers to data scientists, software engineers to cybersecurity experts, marketing to accounting and finance professionals, we’re always looking for talented people who share a passion for creating and our commitment to delivering amazement.

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