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- Tasks: Develop AI-driven features for dynamic game worlds and collaborate with a creative team.
- Company: Join a leading game development company shaping the future of immersive gaming experiences.
- Benefits: Enjoy flexible working options and be part of an innovative, supportive culture.
- Why this job: Work on exciting projects that impact millions and push the boundaries of game technology.
- Qualifications: Strong software engineering skills and experience with machine learning libraries like PyTorch required.
- Other info: Ideal for those passionate about AI and eager to thrive in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
Are you a Machine Learning Engineer looking to shape the future of game development? We are looking for a Machine Learning Engineer to join a talented team, using cutting-edge AI to create innovative and immersive game worlds. If you have experience in machine learning, generative models, and software engineering, this is an opportunity to work on projects enjoyed by millions.
Key Responsibilities:
- Develop and implement machine learning-driven features to generate dynamic game worlds
- Contribute to a collaborative, ambitious, and creative development team
- Design and iterate on new features, incorporating feedback from peers
- Work independently while effectively managing priorities and workload
What You’ll Need:
- Strong software engineering skills
- Experience in machine learning engineering, with proficiency in modern libraries such as PyTorch
- Deep understanding of generative diffusion models and VAEs
- Ability to work autonomously, identifying and prioritising key tasks
- Strong communication skills and the ability to collaborate within a team
- Adaptability and flexibility to work in a fast-changing environment
If you are passionate about AI-driven game development and ready to make an impact, apply now through Alfie at Skillsearch.
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 AI and game development. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Build a portfolio showcasing your machine learning projects, especially those related to game development. Include examples of generative models or any innovative features you've implemented. A strong portfolio can set you apart from other candidates and demonstrate your practical skills.
✨Tip Number 3
Network with professionals in the gaming and AI industries. Attend meetups, webinars, or conferences where you can connect with like-minded individuals. Building relationships can lead to referrals and insider information about job openings at companies like us.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and machine learning problems. Use platforms like LeetCode or HackerRank to sharpen your skills. Being well-prepared will boost your confidence and increase your chances of impressing the interviewers.
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 experience in machine learning and software engineering. Include specific projects where you've used PyTorch or worked with generative models, as this will catch the employer's attention.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI-driven game development. Mention how your skills align with the job responsibilities and how you can contribute to the team. Be sure to include examples of your previous work that demonstrate your capabilities.
Showcase Relevant Projects: If you have a portfolio or GitHub repository, include links to projects that showcase your machine learning skills, particularly those involving generative models or game development. This gives the employer a tangible sense of your abilities.
Highlight Soft Skills: Since the role requires collaboration and adaptability, make sure to mention your strong communication skills and any experiences where you've successfully worked within a team or adapted to changing environments.
How to prepare for a job interview at Skillsearch
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks, especially PyTorch. Bring examples of projects where you've implemented generative models or diffusion models, and be ready to explain your thought process and the challenges you faced.
✨Demonstrate Collaboration
Since the role involves working within a team, highlight your ability to collaborate effectively. Share specific instances where you contributed to a team project, how you handled feedback, and how you supported your peers in achieving common goals.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice coding challenges or case studies related to game development and machine learning. This will help you articulate your approach to tackling complex issues during the interview.
✨Express Your Passion for Game Development
Make sure to convey your enthusiasm for AI-driven game development. Discuss any personal projects or games that inspire you, and how you envision using machine learning to enhance player experiences. This will show your genuine interest in the role.
