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Test your Unity Animations knowledge with this quiz! Explore concepts like Animator Controller, Blend Trees, and many more.

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- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! 📋 &nbsp;- This assessment gives us an idea of your problem solving skills using DSA - Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Programming Patterns! 📋- This assessment gives us an idea of your code architecture skills - Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your OOPs skills! 📋- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills - Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Unity Skills 📋 - This assessment gives us an idea of your Unity fundamentals - Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc. - 9 questions: 9 Multiple Choice - Minimum score needed to qualify: 80% - Average time to complete: 5 to 10 minutes

Senior Applied Scientist - NBA 2K

Technical Test Lead

Associate Capture Technical Artist

Associate Manager, Product Management

Nice

Solution Engineer

Tech Manager

Technical Support Engineer, CX

Regional Vice President - SLED East

SMB Account Executive

The Applied AI Team within 2K’s Product Organization is seeking a Sr. Applied Scientist to contribute to the continued innovation behind our flagship title, NBA 2K. This team builds production-grade algorithmic systems that directly shape the player experience. Our work spans core areas such as matchmaking, in-game experience personalization, player engagement, in-game economy, content optimization, and fraud detection. We combine techniques from machine learning, statistics, operations research, and economics, and partner closely with engineering, game design, and LiveOps to bring AI-driven decisioning to life across the game.

Product Manager

Associate Product Manager (Sports)

Senior Director of Data Science & Insights

Director, HR Business Partner

Principal Rendering Engineer

Associate Manager, Brand Strategy

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What We Need</h3>The Applied AI Team within 2K’s Product Organization is seeking a Sr. Applied Scientist to contribute to the continued innovation behind our flagship title, NBA 2K. This team builds production-grade algorithmic systems that directly shape the player experience. Our work spans core areas such as:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Matchmaking</li><li class="leading-relaxed">In-game experience personalization</li><li class="leading-relaxed">Player engagement</li><li class="leading-relaxed">In-game economy</li><li class="leading-relaxed">Content optimization</li><li class="leading-relaxed">Fraud detection</li></ul>We combine techniques from machine learning, statistics, operations research, and economics, and partner closely with engineering, game design, and LiveOps to bring AI-driven decisioning to life across the game.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You'll Do</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Research, build, and deploy advanced machine learning and optimization models to improve gameplay and player engagement.</li><li class="leading-relaxed">Work across areas like matchmaking, ranking systems, personalization, and in-game economy modeling.</li><li class="leading-relaxed">Collaborate with game development, LiveOps, tech and data engineers, and product managers to scope high-impact problems and deliver solutions.</li><li class="leading-relaxed">Lead technical discussions, advocate for best practices in model development and deployment, and ensure scientific rigor.</li><li class="leading-relaxed">Stay informed on state-of-the-art techniques, evaluate their applicability, and lead efforts to integrate promising methods into our systems.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What Will Make You a Great Fit</h3>We are seeking a hands-on senior scientist who combines deep technical expertise in machine learning with strong product sense and a track record of delivering high-impact, production-ready solutions. You are comfortable leading projects independently and thrive in a collaborative, fast-moving environment.Requirements:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Master’s or Ph.D. in a quantitative field such as Computer Science, Statistics, Applied Math, Physics, Operations Research, or a related discipline.</li><li class="leading-relaxed">4+ years of experience in applied science, machine learning, or data science roles, including experience deploying ML models in production environments.</li><li class="leading-relaxed">Strong background in machine learning (traditional and/or deep learning), statistical modeling, and experimentation.</li><li class="leading-relaxed">Proficiency in Python and SQL; experience with distributed computing (e.g., Spark).</li><li class="leading-relaxed">Working knowledge of ML frameworks like scikit-learn, PyTorch, TensorFlow, and pipeline tools for model training and deployment.</li><li class="leading-relaxed">Demonstrated ability to own projects end-to-end and deliver measurable business value.</li><li class="leading-relaxed">Excellent communication skills, with the ability to explain complex ideas to both technical and non-technical audiences.</li></ul>Preferred Qualifications (Helpful, but Not Required):<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience with discrete optimization, reinforcement learning, recommender systems, and simulation-based modeling.</li><li class="leading-relaxed">Familiarity with production ML infrastructure, including cloud services (AWS), containerization, and model orchestration/serving.</li><li class="leading-relaxed">Knowledge of the gaming industry and experience working with game-related AI solutions.</li><li class="leading-relaxed">Interest in basketball and a willingness to engage with video games as products.</li></ul>As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.The pay range for this position in California at the start of employment is expected to be between $140,000 - $173,000 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.#LI-Hybrid

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

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