At a Glance
- Tasks: Develop and enhance generative models for graphics and video processing.
- Company: Join Sony Interactive Entertainment's innovative Visual Computing Group.
- Benefits: Enjoy hybrid working, private medical insurance, and 25 days holiday.
- Other info: Collaborative environment with opportunities for research publications and patents.
- Why this job: Make a real impact in cutting-edge graphics and video technology.
- Qualifications: PhD or MSc in relevant fields with strong ML experience required.
The predicted salary is between 70000 - 90000 £ per year.
- Position Summary
- Senior Machine Learning Engineer – Visual Computing Group (VCG)
Responsibilities
- Develop and improve core generative models for graphics and video processing for a variety of applications, including live video streaming and game rendering.
- Research and prototype new methods for graphics or video enhancement, and design data generation pipelines from generative models.
- Collaborate with team members on drafting publications and patent submissions.
- Participate in core R&D work with other teams within Sony Interactive Entertainment.
Qualifications
- Ph D or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics, or a related field, or equivalent skills evidenced by work experience.
- 5+ years of demonstrable research experience in industry or academia.
- Strong background in Tensor Flow or Py Torch, Python, and libraries related to computer vision or graphics (minimum 3 years of experience for an ML engineer, 5 years for a Senior ML engineer).
- Evidence of at least one research publication in a top‑tier conference such as CVPR, ECCV, ICCV, SIGGRAPH, Neur IPS, ICML, ICLR, or equivalent.
- Solid background in neural network architectures, including advanced loss functions, convolutional, recurrent, transformer‑based, diffusion‑based, or other architectures; experience training, validating, and evaluating models on large datasets.
- Desired qualifications include publications in journals such as IEEE Transactions on Image Processing or IEEE Transactions on Circuits and Systems for Video Technology; theoretical understanding of the graphics pipeline, including coordinate transformations, PBR materials, rasterization, lighting, and ray tracing.
- Experience with 3D engines such as Unreal or Unity, especially in generating datasets and extracting G‑buffers and motion vectors.
Benefits
- Discretionary bonus opportunity
- Hybrid working within Flexmodes
- Private medical insurance and dental scheme
- 25 days holiday per year
- On‑site gym, subsidised café, free soft drinks, on‑site bar, cycle garage and showers
- Equal Opportunity Statement
Sony Interactive Entertainment is an Equal Opportunity Employer.
All persons will receive consideration for employment without regard to gender, race, religion, disability, age, sexual orientation, or any other legally protected category.
We encourage qualified applicants to apply.
#J-18808-Ljbffr
Sr. Machine Learning Engineer in London employer: Segment (Twilio)
Join a forward-thinking company in Glenrothes or Livingston as a Principal Hardware Engineer, where you will be empowered to lead innovative power electronics designs and mentor a talented team. With a strong commitment to employee growth, competitive salaries, and a flexible working environment, we offer a culture that values collaboration and technical excellence. Enjoy unique benefits such as enhanced family policies, generous holiday allowances, and opportunities for community engagement through paid volunteering days.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Machine Learning Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Segment (Twilio) or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Segment (Twilio).
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Segment (Twilio).
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Segment (Twilio) that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Sr. Machine Learning Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Segment (Twilio).
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Segment (Twilio) and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Segment (Twilio)
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Segment (Twilio) uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
