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For Companies At a Glance
- Tasks: Implement cutting-edge ML algorithms to enhance gaming experiences and optimise player engagement.
- Company: Join Tripledot, a leading mobile game company with 25 million daily users worldwide.
- Benefits: Enjoy 25 days holiday, hybrid working, free lunch, and continuous professional development.
- Why this job: Make a real impact in the gaming world by applying your ML skills to exciting projects.
- Qualifications: Bachelor's degree in a quantitative field and strong ML techniques knowledge required.
- Other info: Collaborative environment with opportunities for career growth and innovation.
The predicted salary is between 48000 - 84000 £ per year.
Role Overview
Tripledot is a leading independent mobile game company with over 25 million daily active users worldwide. We are building a company we are proud of.
Responsibilities
- Implement cutting‑edge ML algorithms for personalization in gaming and test what works best for our games and data.
- Design experiments and prototypes to test the viability and efficiency of new AI models.
- Translate research findings into real‑world applications by creating algorithm prototypes in our codebase.
- Convert prototypes into production‑level code that can be easily managed and deployed through the ML lifecycle.
- Design, develop, and evaluate A/B tests to measure the effectiveness of personalization algorithms and optimize player experience.
- Continuously monitor and analyze player data to identify new opportunities for personalization and improve existing algorithms.
- Document work clearly and concisely, fostering knowledge sharing within the team.
Qualifications
- A Bachelor\’s degree in a quantitative field (Computer Science, Mathematics, Statistics) or equivalent experience.
- Strong understanding of industry standard ML techniques (Classification, Regression, Clustering, Recommendation Systems, etc.).
- Experience applying machine learning algorithms to solve real‑world problems.
- Proven experience coding algorithms from research papers into production‑ready code (Python preferred).
- Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and deploying ML models to production.
- Strong analytical programming and visualization skills (SQL, Python, R, matplotlib/ggplot).
- Strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).
- Excellent communication and collaboration skills.
- A passion for mobile gaming and a desire to create engaging player experiences.
Bonus
- Experience with more complex ML techniques (Reinforcement Learning).
- Experience with A/B testing methodologies in an online gaming context.
- Experience working in the games industry.
- Experience deploying real‑time ML models.
Benefits
- 25 days paid holiday plus bank holidays.
- Hybrid working: office 3 days a week (Tues/Wed) and a day of choice.
- Fully remote working: 20 days a year.
- Daily free lunch: £12 for JustEat orders in office.
- Company events and rewards: quarterly on‑site and off‑site events.
- Employee Assistance Program: confidential support.
- Family forming support: vital support on family forming/fertility journey (subject to policy).
- Life assurance & group income cover.
- Continuous professional development.
- Private medical cover & health cash plan.
- Dental cover.
- Cycle to work scheme.
- Pension plan.
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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
Network like a pro! Reach out to folks in the gaming and machine learning communities. Attend meetups, webinars, or even online forums. 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 ML projects, especially those related to gaming. Share your code on GitHub and write about your experiences on platforms like LinkedIn. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with ML algorithms and how you've applied them in real-world scenarios. Practise coding challenges and be prepared to explain your thought process.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind. Plus, it’s a great chance to reiterate why you’re the perfect fit for the team!
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Machine Learning Engineer role. Highlight your expertise in ML algorithms and any relevant projects you've worked on, especially those related to gaming.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about mobile gaming and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've got any cool projects or prototypes, don’t hesitate to share them! Whether it's a GitHub link or a brief description, showing off your work can really set you apart from other candidates.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into our system quickly. Plus, it shows you’re keen on joining our awesome team!
How to prepare for a job interview at Tripledot Studios
✨Know Your ML Algorithms
Make sure you brush up on your understanding of machine learning techniques like classification, regression, and recommendation systems. Be ready to discuss how you've applied these in real-world scenarios, especially in gaming contexts.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities, particularly in Python. Bring examples of how you've turned research papers into production-ready code, and be ready to talk about your experience with CI/CD and version control.
✨A/B Testing Know-How
Since A/B testing is crucial for this role, come prepared with examples of tests you've designed and the outcomes. Discuss how you measured effectiveness and optimised player experiences based on your findings.
✨Communicate Clearly
Strong communication skills are key. Practice explaining complex concepts in a simple way, as you'll need to document your work clearly and share knowledge with your team. Show your passion for mobile gaming and how it drives your work.