Research Engineer - Machine Learning (London)
Research Engineer - Machine Learning (London)

Research Engineer - Machine Learning (London)

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and develop machine learning models for PlayStation's user experience.
  • Company: Join PlayStation, a global leader in entertainment under Sony Interactive Entertainment.
  • Benefits: Enjoy a diverse workplace with opportunities for innovation and collaboration.
  • Why this job: Be part of a team shaping the future of gaming through cutting-edge technology.
  • Qualifications: Masters in CS/Statistics/Data Science with machine learning experience required.
  • Other info: Open to all backgrounds; we value diversity and inclusion.

The predicted salary is between 36000 - 60000 £ per year.

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 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.

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.

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.

Research Engineer - Machine Learning (London) employer: PlayStation Network

At PlayStation, we pride ourselves on being an exceptional employer, offering a vibrant work culture in the heart of London that fosters innovation and collaboration. Our commitment to diversity and inclusion ensures that every employee feels valued and empowered, while our focus on personal and professional growth provides ample opportunities for career advancement. Join us to work with cutting-edge machine learning technologies and contribute to creating unforgettable experiences for millions of users worldwide.
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Contact Detail:

PlayStation Network Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Engineer - Machine Learning (London)

✨Tip Number 1

Familiarise yourself with the latest machine learning frameworks like TensorFlow and PyTorch. Being able to discuss your experience with these tools during interviews can set you apart from other candidates.

✨Tip Number 2

Showcase your understanding of recommendation systems and A/B testing. Prepare examples of how you've implemented these in past projects, as this aligns closely with the role's requirements.

✨Tip Number 3

Network with current employees or alumni who work at PlayStation. They can provide valuable insights into the company culture and the specifics of the role, which can help you tailor your approach.

✨Tip Number 4

Stay updated on the latest trends in machine learning and big data technologies. Being knowledgeable about emerging tools and methodologies will demonstrate your passion for the field and your commitment to continuous learning.

We think you need these skills to ace Research Engineer - Machine Learning (London)

Machine Learning
Deep Learning
Python Programming
Scala or Java Programming
Statistical Analysis
Recommendation Systems
Personalisation Techniques
A/B Testing
Big Data Technologies
Data Analysis
TensorFlow
PyTorch
MLlib
Databricks
Apache Spark
Kubernetes
Cloud Computing (AWS)
Model Evaluation
Cross-Functional Collaboration
Agile Methodologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, Python, and any other technologies mentioned in the job description. Use specific examples of projects or roles that align with the responsibilities outlined by PlayStation.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for innovation and technology. Mention how your skills and experiences make you a great fit for the role and how you can contribute to enhancing the PlayStation experience.

Highlight Relevant Projects: Include details about any significant projects you've worked on that involved machine learning, especially those related to recommendation systems or A/B testing. This will demonstrate your practical experience and understanding of the field.

Showcase Soft Skills: In addition to technical skills, highlight your ability to collaborate with cross-functional teams. Mention any experiences where you successfully communicated complex ideas to non-technical stakeholders, as this is crucial for the role.

How to prepare for a job interview at PlayStation Network

✨Showcase Your Technical Skills

Be prepared to discuss your experience with machine learning frameworks like TensorFlow and PyTorch. Bring examples of projects where you've developed ML models, especially those related to recommendation systems or personalisation.

✨Understand the Company Culture

PlayStation values diversity and inclusion, so demonstrate your understanding of these principles. Share experiences that highlight your ability to work in diverse teams and how you contribute to an inclusive environment.

✨Prepare for Problem-Solving Questions

Expect technical questions that assess your problem-solving skills. Practice explaining your thought process when designing and implementing large-scale ML solutions, and be ready to tackle hypothetical scenarios.

✨Communicate Clearly with Non-Technical Stakeholders

Since you'll be collaborating with both technical and non-technical teams, practice explaining complex concepts in simple terms. This will show your ability to bridge the gap between different team members effectively.

Research Engineer - Machine Learning (London)
PlayStation Network
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  • Research Engineer - Machine Learning (London)

    London
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-06-12

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    PlayStation Network

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