Job Application for Machine Learning Engineer at PlayStation Global

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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 Group Corporation.

We are seeking a highly motivated Machine Learning Software Engineer to join our team in an impactful hands-on engineering role. In this position, you will play a vital role in evolving and supporting our machine learning code and pipelines. The ideal candidate possesses a strong combination of software engineering expertise and machine learning skills (building SaaS/backend services, data/model pipelines.) It will be advantageous to have previous, hands-on experience in a DevOps role (automation, AWS/Kubernetes administration.) We value individuals who are self-motivated and take pride in delivering exceptional work within a fast-paced and dynamic environment.

Responsibilities:

Transform ground breaking research into practical and efficient processing solutions for optimized performance
Conduct codebase review, identifying areas for improvement and performing code refactoring to enhance cleanliness and maintainability.
Evaluate data storage and management practices, identifying inefficiencies or inconsistencies, and implement optimal data storage practices.
Build and enhance our machine learning pipeline and related tools to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of ML models
Investigate and debug issues in machine learning systems and provide timely resolutions
Collaborate with cross-functional teams to design and implement scalable and efficient software solutions
Ensure all work is deployed in an automated, repeatable fashion
Reviewing and recommending best practices
Participate in code reviews and contribute to continuous improvement of the development process

What we’re looking for:

5+ years’ experience working in a similar ML related position
Proficient in Python, C++
Experience with distributed systems and parallel computing
Familiarity with embedded systems development
Experience with workload orchestration tools (Databricks, Kubeflow, Airflow, etc.)
Familiarity with unstructured data processing (video, audio, ffmpeg)
Experience working with model registries and model version control
Strong understanding of REST API design patterns
Proficiency in working with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, PyTorch)
Knowledge of software development methodologies and version control systems (e.g., Git)
Excellent communication and collaboration skills, with the ability to work effectively in a team environment
Strong problem-solving and debugging skills
Understanding of software security principles and standard processes
Experience with natural language processing (NLP) techniques
Familiarity with video processing,
Experience with NVIDIA CUDA, waveglow, ROCm
Experience with Github/Gitlab, CDK, HelmCharts, ArgoCD
Experience with Docker
Knowledge of Linux

Nice to have:

Experience with AWS and common services
Knowledge of game development, game engines (Unreal, Unity, etc)
Shader development experience
Hands-on experience with the orchestration and management of containers using Kubernetes
Knowledge in systems monitoring, alerting and analytics including Prometheus, Grafana, AWS CloudTrail, OpenSearch

Benefits:

Discretionary bonus opportunity
Private Medical Insurance
Dental Scheme
25 days holiday per year
On Site Gym
Subsidised Café
Free soft drinks
On site bar
Access to cycle garage and showers

Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.

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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Machine Learning Engineer

Responsibilities:

What we’re looking for:

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