At a Glance
- Tasks: Lead a dynamic team in developing cutting-edge machine learning technologies for game rendering.
- Company: Join a leading company redefining gaming through innovative visual computing solutions.
- Benefits: Competitive salary, professional growth opportunities, and a collaborative work environment.
- Other info: Be part of a rapidly growing team with exciting projects and career advancement.
- Why this job: Make a real impact in the gaming industry with advanced ML and graphics technology.
- Qualifications: Strong leadership skills, technical expertise in ML, and experience in game rendering.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- You have a demonstrated ability in managing high performance research teams in the field of ML or Graphics.
- You are a dynamic and visionary leader with a passion for building and leading high-performance teams.
- Your leadership style is grounded in clear communication, inspiration, and empathy.
- You possess the ability to motivate and empower your team, fostering an environment where creativity and collaboration thrive.
- A strong advocate for personal and professional growth, you ensure that every team member feels valued and heard.
- Your approach to leadership is proactive, adaptable, and driven by a deep commitment to the success of both your team and the organization.
- Experience in coaching and mentoring team members, fostering an inclusive and collaborative work environment.
- You have the courage to speak up and take smart risks.
- You have strong and well-formed technical ideas that are weakly held; you can discuss, listen and participate in a passionate debate.
- You are experienced in managing team communications in a large organization.
- Extensive technical experience and track record of accomplishments within various areas including intelligent systems, visual computing, real-time graphics processing within game engines, or graphics.
- Proven track record in managing and delivering sophisticated projects within these areas.
- Proficiency in programming languages and tools relevant to visual computing (e.g., C++, Python, OpenGL, DirectX).
- Familiarity with machine learning frameworks and their application in visual computing.
- Knowledge in computer vision and machine learning: advanced neural network architectures applied to image analysis and video processing (diffusion models, transformers, distribution alignment, advanced loss functions for computer vision problems).
- Knowledge in game engine rendering: knowledge of the stages of the game rendering pipeline, examples in UE5 or similar, knowledge of ray tracing or path tracing, advanced machine learning methods for global illumination, path tracing, frame interpolation and super-resolution in game rendering.
- A degree in Computer Science, Engineering, or a related field, or equivalent experience; advanced degrees are a plus.
- Up-to-date with the latest trends and technologies in one or more of: machine learning, computer vision, game engine rendering.
- Experience in the interactive entertainment industry or a related field is highly desirable.
What the job involves
- We are looking for an independent, dedicated Lead or Senior Lead: Machine Learning to join the Visual Computing Group (VCG).
- This role contributes to redefining game play and live streaming through 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.
- The group has been growing rapidly and is involved in a number of core machine learning projects, also with the recent acquisition of Cinemersive labs.
- As a Manager / Senior Manager within the Visual Computing Group, you will lead a multidisciplinary team of machine learning engineers and researchers focused on neural-assisted game rendering.
- You will be responsible for coordinating the build, prototyping, development and integration of brand new visual computing technologies into our products.
- Your role also involves managing project timelines, ensuring high-quality work, and collaborating with multi-functional teams to drive innovation.
- You will also play a key role in aligning the team’s work with the overall strategic objectives of the company, balancing the demands of ongoing projects with the need for continuous improvement and technical debt management.
- You will meet with collaborators to build partnerships and establish positive and trustworthy relationships.
Senior Manager of Machine Learning in London employer: Deepstreamtech
As a Senior Manager of Machine Learning at our innovative Visual Computing Group, you will thrive in a dynamic and inclusive work culture that champions creativity and collaboration. We prioritise personal and professional growth, offering extensive opportunities for mentorship and development while working on cutting-edge projects that redefine game rendering and streaming. Located in a vibrant tech hub, our company fosters an environment where your leadership can inspire high-performance teams to achieve remarkable results.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager of Machine Learning in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to machine learning and visual computing. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to the role. Think about how your leadership style aligns with the company’s values and be ready to discuss your experience managing high-performance teams.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact. Plus, applying directly shows your enthusiasm for the role and the company.
We think you need these skills to ace Senior Manager of Machine Learning in London
Some tips for your application 🫡
Show Your Leadership Style:When writing your application, make sure to highlight your leadership style. We want to see how you inspire and empower your team, so share examples of how you've fostered creativity and collaboration in your previous roles.
Technical Skills Matter:Don’t forget to showcase your technical expertise! Mention your experience with programming languages like C++ and Python, as well as any familiarity with machine learning frameworks. We love seeing candidates who are up-to-date with the latest trends in visual computing.
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for the role. Remember, clarity is key in demonstrating your ability to manage team communications effectively.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
How to prepare for a job interview at Deepstreamtech
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning and visual computing. Be ready to discuss advanced neural network architectures and their applications, as well as your experience with programming languages like C++ and Python. This shows you’re not just a leader but also technically savvy.
✨Showcase Your Leadership Style
Prepare examples that highlight your leadership style, especially how you inspire and empower your team. Think of specific instances where you fostered creativity and collaboration, or coached team members to success. This will demonstrate your ability to manage high-performance teams effectively.
✨Communicate Clearly
Since clear communication is key for this role, practice articulating your thoughts on complex topics. Be ready to engage in passionate debates about technical ideas while showing that you can listen and adapt. This will reflect your commitment to fostering an inclusive environment.
✨Align with Company Goals
Understand the strategic objectives of the company and be prepared to discuss how your team's work can align with these goals. Show that you can balance project demands with continuous improvement, which is crucial for driving innovation in the Visual Computing Group.
