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- Tasks: Develop and optimise machine learning models for mobile games, enhancing player experiences.
- Company: Join Tripledot Studios, a leading independent mobile games company with over 25 million daily users.
- Benefits: Enjoy hybrid working, free daily lunch, 25 days holiday, and continuous professional development.
- Why this job: Make a real impact on popular games while working in a dynamic, innovative team culture.
- Qualifications: Strong Python and SQL skills, ML experience, and a passion for gaming are essential.
- Other info: Work in a collaborative environment with opportunities for personal and professional growth.
The predicted salary is between 42000 - 84000 £ per year.
Department Operations Employment Type Permanent – Full Time Location London, UK Workplace type Hybrid
Role Overview
Required Skills, Knowledge and Expertise
Working at Tripledot
About Tripledot
Senior Machine Learning Engineer employer: Tripledot Studios
Contact Detail:
Tripledot Studios Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with Tripledot Studios' games and their unique features. Understanding the specific mechanics and player engagement strategies they use will help you tailor your discussions during interviews, showcasing your genuine interest in their products.
✨Tip Number 2
Brush up on your knowledge of machine learning algorithms that are particularly relevant to gaming, such as reinforcement learning and recommendation systems. Being able to discuss these concepts confidently will demonstrate your expertise and how it can be applied to enhance player experiences.
✨Tip Number 3
Network with current or former employees of Tripledot Studios through platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial when preparing for interviews.
✨Tip Number 4
Prepare to discuss your previous projects in detail, especially those involving ML model deployment and optimisation. Be ready to explain your thought process, challenges faced, and how you overcame them, as this will highlight your problem-solving skills and technical proficiency.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly any projects involving deployment and pipeline development. Use specific examples that demonstrate your proficiency in Python, SQL, and ML libraries.
Craft a Compelling Cover Letter: In your cover letter, express your passion for gaming and innovation. Discuss how your skills align with the responsibilities of the role, such as developing ML models for game performance and player experience.
Showcase Your Projects: Include a portfolio or links to projects that showcase your experience with ML models, especially those that have been deployed in production environments. Highlight any work with recommendation systems or reinforcement learning.
Prepare for Technical Questions: Anticipate technical questions related to ML theory, statistical concepts, and your experience with CI/CD tools. Be ready to explain complex concepts clearly, as you may need to communicate with non-technical stakeholders.
How to prepare for a job interview at Tripledot Studios
✨Showcase Your ML Expertise
Be prepared to discuss your experience with machine learning models, particularly in production environments. Highlight specific projects where you've deployed models and the impact they had on user engagement or business performance.
✨Demonstrate Your Passion for Gaming
Since Tripledot Studios is a gaming company, express your enthusiasm for games and how you believe machine learning can enhance player experiences. Share any personal projects or insights related to gaming and ML.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to bridge the gap between technical and non-technical stakeholders, so being able to communicate effectively is crucial.
✨Prepare for Technical Questions
Expect questions on statistical concepts, ML algorithms, and tools like Python, SQL, and cloud platforms. Brush up on your knowledge of A/B testing and hyperparameter tuning, as these are key aspects of the role.
