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- Tasks: Develop cutting-edge features using Machine Learning for immersive game worlds.
- Company: Join a pioneering game studio known for innovative and engaging gaming experiences.
- Benefits: Enjoy a collaborative culture, flexible work options, and the chance to shape the future of gaming.
- Why this job: Make a real impact in gaming while working with a passionate and ambitious team.
- Qualifications: Strong software engineering skills and experience with Machine Learning libraries like PyTorch required.
- Other info: Opportunity to work on groundbreaking projects in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
We are partnering with an innovative and forward-thinking game development studio, known for creating captivating and technically advanced games that engage a global audience. The studio is driven by a passion for crafting meaningful gaming experiences and pushing the boundaries of what's possible. They are now looking for talented engineers to join their team and contribute to exciting, ground breaking projects. If you’re ready to make an impact in the gaming world, this is an incredible opportunity.
As a Software Engineer with this studio, you will play a key role in the development of cutting-edge features that utilize Machine Learning to create dynamic, procedurally generated game worlds. You will collaborate with a dedicated and forward-looking team to design, implement, and iterate on new features, helping to shape the future of their games.
Key Responsibilities:- Lead the development of new and existing features utilizing Machine Learning to generate immersive, procedurally generated worlds within the games.
- Collaborate with a humble, empathetic, and ambitious development team to push the boundaries of innovation in the gaming space.
- Drive the design and iteration of features, incorporating feedback from peers and stakeholders to refine and improve your work.
- Manage your workload autonomously, prioritizing tasks and ensuring timely delivery of high-quality results.
- Communicate effectively within the team, sharing progress, challenges, and insights while being receptive to feedback.
- Strong software engineering skills, with a solid understanding of algorithms, data structures, and software architecture.
- Experience with Machine Learning engineering, particularly with modern libraries such as PyTorch.
- Deep knowledge of generative models, including expertise in diffusion models and Variational Autoencoders (VAEs).
- Proven ability to work autonomously, take ownership of tasks, and drive them to completion.
- Strong communication skills, with the ability to collaborate effectively within a team-oriented environment.
- Able to prioritize tasks and adapt to changing circumstances in a fast-paced, evolving environment.
Machine Learning Engineer employer: Skillsearch
Contact Detail:
Skillsearch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning, especially in gaming. Understanding how generative models like diffusion models and VAEs are applied in game development can give you an edge during discussions with the team.
✨Tip Number 2
Showcase your collaborative skills by engaging with the gaming community. Participate in forums or contribute to open-source projects related to machine learning in games. This demonstrates your passion and ability to work within a team.
✨Tip Number 3
Prepare to discuss your previous projects that involved machine learning. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will highlight your problem-solving skills and autonomy.
✨Tip Number 4
Practice effective communication by explaining complex technical concepts in simple terms. This skill is crucial for collaborating with team members who may not have a deep technical background, ensuring everyone is on the same page.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your software engineering skills and experience with Machine Learning. Include specific projects or roles where you used algorithms, data structures, and libraries like PyTorch.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for gaming and your understanding of the role. Mention your experience with generative models and how you can contribute to creating immersive game worlds.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving Machine Learning or game development, be sure to include them in your application. Provide links to your GitHub or portfolio if applicable.
Highlight Team Collaboration: Emphasise your ability to work within a team. Mention any experiences where you collaborated on projects, shared insights, or received feedback, as this aligns with the studio's values.
How to prepare for a job interview at Skillsearch
✨Showcase Your Machine Learning Knowledge
Be prepared to discuss your experience with Machine Learning, especially with libraries like PyTorch. Highlight specific projects where you've implemented generative models, such as diffusion models or VAEs, and be ready to explain your thought process and the outcomes.
✨Demonstrate Team Collaboration Skills
Since the role involves working closely with a team, share examples of how you've successfully collaborated in past projects. Emphasise your ability to communicate effectively, share insights, and incorporate feedback from peers to improve your work.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges during the interview. Practice solving problems related to algorithms and data structures, as well as discussing how you would approach designing features for procedurally generated game worlds using Machine Learning.
✨Highlight Your Autonomy and Time Management
The studio values engineers who can manage their workload independently. Be ready to discuss how you prioritise tasks, adapt to changing circumstances, and ensure timely delivery of high-quality results in a fast-paced environment.
