Sundayy
Machine Learning Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About The Company
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
About The Role
We are seeking an independent, dedicated Staff Machine Learning Engineer to join our Visual Computing Group (VCG). In this role, you will contribute to pioneering research and development efforts aimed at transforming gameplay and live streaming experiences through advanced neural network and machine learning technologies. The VCG’s mission is to design and deploy state-of-the-art neural networks and ML models that push the boundaries of graphics rendering, video processing, and streaming systems. Your work will focus on creating innovative solutions that improve visual quality, reduce latency, and enhance runtime efficiency for our gaming and streaming platforms. You will collaborate with a talented team of researchers and engineers, participate in publishing papers, and contribute to patent submissions, all while supporting the broader R&D initiatives within Sony Interactive Entertainment.
Qualifications
- PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics, or a related field, or equivalent practical experience.
- Minimum of 7+ years of research and industry experience in machine learning, computer vision, or graphics processing.
- Proficiency in TensorFlow or PyTorch frameworks.
- Strong programming skills in Python, with experience in computer vision or graphics libraries and packages.
- Demonstrated development of advanced applications in image/video/graphics processing or computer vision.
- Evidence of leading technical developments through publications in top-tier conferences such as CVPR, ECCV, ICCV, SIGGRAPH, or similar.
- Solid understanding of neural network architectures, including designing and testing complex loss functions.
- Experience in designing and testing convolutional, recurrent, transformer-based, diffusion-based, or other neural network architectures.
- Experience in training, validating, and evaluating deep neural network models on large datasets using Python libraries like HDF5.
- Preferred: Publications in IEEE Transactions, NeurIPS, ICML, ICLR, and experience with 3D engines such as Unreal or Unity.
- Knowledge of graphics pipeline concepts, including coordinate transformations, PBR materials, rasterization, lighting, and ray tracing.
- Experience in image processing techniques and practical implementation of related systems.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities
- Develop and refine core generative models for graphics and video processing applicable to live streaming, game rendering, and related applications.
- Research and prototype innovative methods for graphics and video enhancement, including data generation pipelines from generative models.
- Collaborate with cross-functional teams to draft research publications and patent applications.
- Participate in core R&D projects, providing technical expertise and innovative solutions to advance Sony's gaming and streaming technologies.
- Contribute to the development of scalable, efficient neural network architectures tailored for real-time applications.
- Evaluate and optimize models for visual quality, latency, and runtime performance.
- Stay abreast of emerging trends and technologies in machine learning, computer vision, and graphics to inform ongoing research efforts.
- Support knowledge sharing and mentorship within the team to foster a culture of innovation and continuous improvement.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Benefits
- Discretionary bonus opportunities based on performance and company results.
- Hybrid working arrangements within flexible modes to promote work-life balance.
- Private Medical Insurance for comprehensive health coverage.
- 25 days of holiday per year to support personal and family time.
- On-site gym facilities to maintain health and wellness.
- Access to free soft drinks and refreshments.
- Facilities including cycle garage and showers to encourage sustainable commuting.
Equal Opportunity
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 are committed to creating an inclusive environment that empowers employees and embraces diversity. We encourage everyone to apply and respond to our recruitment process. Sony Interactive Entertainment is a Fair Chance employer, and qualified applicants with arrest and conviction records will be considered for employment.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location