At a Glance
- Tasks: Design and implement innovative machine learning models for game development.
- Company: Join PlayStation, a global leader in entertainment and gaming innovation.
- Benefits: Enjoy a collaborative environment, continuous learning, and opportunities to attend top-tier conferences.
- Other info: Inclusive culture that values diversity and encourages creativity.
- Why this job: Be part of a dynamic team pushing the boundaries of AI in gaming.
- Qualifications: Master’s degree in a relevant field; 2+ years in machine learning with published research.
The predicted salary is between 43200 - 72000 £ per year.
- We are looking for an independent, dedicated Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D
- VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency
- Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc
- Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models
- Collaborate with team members on drafting publications and patent submissions
- Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment
Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similarPhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post(i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network designSolid background in one or more of the following:(iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar(ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task‑specific manner5+ years of experience in demonstrable research experience in industry or academiaStrong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer),Publications, e.g. in top‑tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similarSome theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracingExperience in image processing theory and methods, evidenced by the development of practical designs in this areaSome experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc
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Senior Machine Learning Engineer in London employer: PlayStation
At Sony Interactive Entertainment, we pride ourselves on being not just the Best Place to Play, but also the Best Place to Work. Our dynamic work culture fosters innovation and collaboration, offering employees opportunities for growth within a globally recognised brand. With benefits like hybrid working, private medical insurance, and a commitment to inclusivity, we ensure that our team members thrive both personally and professionally in a creative environment that champions excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in London
✨Tip Number 1
Familiarise yourself with the latest trends in Imitation Learning and Reinforcement Learning. Follow key researchers and publications in the field to stay updated, as this knowledge will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your passion for gaming by discussing how machine learning can enhance gaming experiences. Prepare examples of how you've applied machine learning techniques in gaming or related projects to demonstrate your enthusiasm and expertise.
✨Tip Number 3
Network with professionals in the gaming and machine learning communities. Attend relevant conferences or meetups to connect with potential colleagues at PlayStation, which could give you an edge in the hiring process.
✨Tip Number 4
Prepare to discuss your previous research and its impact on the field. Be ready to explain complex concepts in a way that non-technical stakeholders can understand, as communication skills are crucial for this role.
We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning, particularly in Imitation Learning and Reinforcement Learning. Include specific projects or research papers that demonstrate your expertise and passion for the field.
Craft a Compelling Cover Letter:Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for gaming and how it intersects with machine learning. Mention any relevant experiences that showcase your problem-solving skills and creativity.
Showcase Your Research:If you have published research papers, summarise them briefly in your application. Highlight your contributions to the field and any presentations at conferences, as this aligns with the company's focus on innovation and research.
Prepare for Technical Questions:Anticipate technical questions related to machine learning algorithms and data analysis. Be ready to discuss your previous work and how you approached challenges in your projects, as this will demonstrate your problem-solving abilities.
How to prepare for a job interview at PlayStation
✨Showcase Your Passion for Gaming
Make sure to express your enthusiasm for gaming during the interview. Discuss how your interest in gaming intersects with your expertise in machine learning, and share any personal projects or experiences that highlight this passion.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with Imitation Learning and Reinforcement Learning in detail. Bring examples of past projects where you designed and implemented machine learning models, and be ready to explain the challenges you faced and how you overcame them.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you can convey complex technical concepts to non-technical colleagues.
✨Stay Updated on Current Research
Show that you are committed to continuous learning by discussing recent advancements in machine learning and artificial intelligence. Mention any conferences you've attended or papers you've read that relate to the position, demonstrating your proactive approach to staying informed.
