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- Tasks: Develop AI solutions to enhance game quality assurance and automate testing processes.
- Company: Leading gaming organisation with a focus on innovation and research.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a dynamic team to revolutionise gaming experiences with cutting-edge technology.
- Qualifications: Strong machine learning background; PhD preferred, with expertise in Python and video analysis.
- Other info: Fast-paced environment with opportunities to lead projects and mentor others.
The predicted salary is between 48000 - 72000 £ per year.
Join the research arm of a leading gaming organisation to develop cutting-edge AI solutions that transform game quality assurance. This role focuses on automating QA and testing by building intelligent agents that detect anomalies and glitches in gameplay, ensuring an exceptional player experience.
Key Responsibilities
- Design and implement ML models for anomaly detection in video streams and gameplay data.
- Apply computer vision and video analysis techniques to identify irregularities and bugs.
- Explore advanced methods such as self-supervised learning and visual language models.
- Collaborate with QA teams to integrate AI-driven solutions into production pipelines.
- Lead technical projects and mentor team members, acting as the most senior technical expert.
- Present research papers and propose integration strategies for innovative approaches.
Ideal Profile
- Strong background in machine learning research; PhD preferred (or equivalent experience in game development).
- Expertise in Python, PyTorch, and TensorFlow.
- Experience with video-based anomaly detection, computer vision, and streaming analysis.
- Gaming industry experience is a plus.
- Ability to lead projects and guide technical direction in a fast-paced environment.
Desired Skills and Experience
- Video Detection
- Anomaly Detection
- Video
- Research
Staff Machine Learning Engineer in England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and machine learning communities. Attend meetups, webinars, or even gaming conventions. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to anomaly detection and computer vision. Share it on platforms like GitHub or your personal website, and don’t forget to link it in your applications!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, PyTorch, and TensorFlow. Practice explaining complex concepts in simple terms, as you might need to present your ideas to non-technical team members.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight your relevant experience in game development and machine learning, and let us know how you can contribute to our innovative projects.
We think you need these skills to ace Staff Machine Learning Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Python, PyTorch, and TensorFlow!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in gaming and how you can contribute to our research team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any cool projects related to video-based anomaly detection or computer vision, make sure to mention them! We’re keen to see real-world applications of your skills, so include links or descriptions of your work.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Harnham
✨Know Your ML Models
Make sure you brush up on the machine learning models relevant to anomaly detection. Be ready to discuss your experience with Python, PyTorch, and TensorFlow, as well as any specific projects where you've implemented these technologies.
✨Showcase Your Gaming Knowledge
If you have experience in the gaming industry, highlight it! Talk about how your background can contribute to improving game quality assurance through AI solutions. Mention any specific games or projects you've worked on that relate to the role.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Prepare to explain complex concepts like self-supervised learning and visual language models. Practise articulating your thought process clearly, as this will demonstrate your expertise and leadership potential.
✨Collaborative Mindset
Since collaboration with QA teams is key, think of examples where you've successfully worked in a team setting. Be ready to discuss how you would integrate AI-driven solutions into production pipelines and mentor others along the way.
