SLAY, founded in December 2022, has swiftly made its mark in the mobile world. The company developed 5 apps and games that reached the #1 spot in the App Store across 3 continents.Backed by some of the world's most esteemed investors, including Accel, Kevin Weil, Riccardo Zacconi, Scott Belsky, and Ilkka Paananen, SLAY is rapidly growing and reaching millions of users.

slay games

AI / Platform Engineer (Berlin)

AI / Platform Engineer (NYC)

Senior Backend Engineer (NYC)

Senior Backend Engineer (Berlin)

AI / Platform Engineer (NYC Office)

At Born, we create AI friends that enter your life at the right moment and last for a lifetime. We have over 15 million users and are rapidly growing across our products. Our flagship AI friend, Pengu, is the biggest AI character app with its own IP in the US. We are backed by world-class investors and have raised $25M. This role involves a mix of backend and LLM engineering to bring our characters to life, with ownership across the stack and shipping to millions of users from day one.

AI / Platform Engineer (Berlin Office)

At Born, we create AI friends. Friends that enter your life at the right moment. Friends that last for a lifetime, always there for you whenever you need them most. Because everyone deserves a great friend. We now have over 15 million users and are rapidly growing across our products.Since launching in 2022, we have released five apps, each reaching the top of the App Store worldwide. Our flagship AI friend is Pengu. Pengu is an IP-based AI character that lives between you and your real friends — you can raise it together, play games, chat, and watch it live its own life. Pengu has become the biggest AI character app with its own IP in the US. We have also launched a new AI social product in stealth that is already seeing outstanding adoption.We are backed by world-class investors, including Accel, Kevin Weil, Riccardo Zacconi, Scott Belsky, and Ilkka Paananen, and we have raised $25M to date.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Tasks</h2>You’ll work on a mix of backend and LLM engineering to bring our characters to life: remembering past conversations, understanding context, and reacting to time, trends, and what’s happening in the world.As one of our first engineers, you’ll ship to millions of users from day one and have ownership across the stack.Our Philosophy:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">A-Players Only: We’re building a team of top-tier talent. A-players hire A-players. We’d rather invest in one exceptional person with an above-market salary they’re thrilled about than settle for multiple B-players at standard rates.</li><li class="leading-relaxed">Drive: You’re relentless and motivated to do whatever it takes to succeed. You might have something to prove, a fire in your belly, or a mind that works differently. Work isn’t just a job, it’s a core part of who you are and how you find purpose.</li><li class="leading-relaxed">Flat Structure: Flat company org. Titles reflect scope. No political promotion games.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Requirements</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Minimum 3 years of experience.</li><li class="leading-relaxed">Having product sense is great.</li><li class="leading-relaxed">Bachelors' degree in Computer Science, or equivalent experience building software.</li><li class="leading-relaxed">Experience writing code to integrate models into production environments.</li><li class="leading-relaxed">Experience translating current, relevant AI research into production systems.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Benefits</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Compensation and Stock Options: Competitive compensation and equity options.</li><li class="leading-relaxed">Your move, our support: Generous relocation bonus included.</li><li class="leading-relaxed">Openness: Flexible hybrid work environment.</li><li class="leading-relaxed">Prime Berlin Office: Our Berlin Mitte office boasts state-of-the-art amenities, including Apple Studio Displays and Herman Miller chairs.</li><li class="leading-relaxed">Full Commute Reimbursement: We cover 100% of your commuting costs.</li><li class="leading-relaxed">Gym Membership: Stay fit and healthy on us.</li><li class="leading-relaxed">Visa Sponsorship & Assistance: We support your visa process and guide you through all the paperwork.</li><li class="leading-relaxed">Supportive team: A team that values passion, openness, and having your back.</li><li class="leading-relaxed">Regular offsite gatherings: To celebrate wins, and build connections.</li></ul>

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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

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Go guardian

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The Data Engineer II will design, build, and continuously improve GoGuardian's Analytics and AI/ML ecosystem. This role involves developing and optimizing ETL pipelines using tools like Databricks, PySpark, and Airflow, and maintaining labeling and retraining pipelines for machine learning models. The engineer will also implement MLOps practices, collaborate with data scientists to productionize models, and contribute to data lakehouse design, ensuring data quality and governance. The position requires strong software engineering and data architecture skills.

At GoGuardian, we’re helping shape the future of digital learning by providing educators, students, and schools with tools to create equitable and engaging learning environments. Together, we build innovative solutions that empower students, deliver insights, encourage experimentation, and reduce inequity.We’re looking for passionate team members to join us!

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<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">What We Do</h2>At GoGuardian, we’re helping build a future where all learners are ready and inspired to solve the world’s greatest challenges. Our award-winning system of learning solutions is purpose-built for K-12 and trusted by school leaders to promote effective teaching and equitable engagement while helping empower educators to keep students safe.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">What It’s Like to Work at GoGuardian</h2>We are an outcomes-focused learning company with a steadfast focus on improving learning environments, one classroom at a time. Working with us means joining a remote team of diverse, committed, mission-driven employees who are inspired by our vision, dedicated to our customers, and ready to roll up their sleeves. Guardians put their heads together to solve problems, learn together from experiments that fail, and stand together by their work with full accountability. We balance our diligence with an inclusive culture that invites everyone to bring their whole self to work. Join us and learn why “I love the people here” is one of the most frequent comments we hear from Guardians.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">The Role</h2>We’re looking for a Data Engineer II to help design, build, and continuously improve the GoGuardian Analytics and AI/ML ecosystem. This position sits on the Data Engineering team, a group responsible for building and maintaining the core data platform that powers analytics, product insights, and machine learning across the company. You’ll collaborate closely with Data Science, Business Intelligence, and other teams to enable the next generation of data-driven products and AI capabilities.The ideal candidate combines strong software engineering and data architecture skills with curiosity about machine learning systems and a drive to automate, optimize, and scale data workflows.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">What You'll Do</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Design, build, and optimize ETL pipelines that power analytics, data science, and ML workflows using tools such as Databricks, PySpark, and Airflow.</li><li class="leading-relaxed">Develop and maintain labeling and retraining pipelines for machine learning models, ensuring quality, reproducibility, and observability.</li><li class="leading-relaxed">Implement and support MLOps practices, including model versioning, CI/CD for ML, and model monitoring in production environments.</li><li class="leading-relaxed">Collaborate with data scientists to productionize and scale model training, inference, and evaluation pipelines.</li><li class="leading-relaxed">Contribute to the design and evolution of the data lakehouse, including schema design, partitioning strategies, and performance optimization.</li><li class="leading-relaxed">Document and communicate data architecture, lineage, and dependencies to ensure transparency and maintainability across teams.</li><li class="leading-relaxed">Champion data quality and governance, ensuring that datasets are accurate, well-structured, and compliant with organizational standards.</li><li class="leading-relaxed">Leverage infrastructure-as-code and containerization to build reproducible, maintainable environments.</li><li class="leading-relaxed">Participate in code reviews and continuous improvement of engineering best practices within the team.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Who You Are</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Bachelor’s degree in Computer Science, Engineering, or related field.</li><li class="leading-relaxed">2–4 years of experience building and operating large-scale data systems, ideally supporting analytics and ML workloads.</li><li class="leading-relaxed">Proficiency in Python and SQL, with experience in PySpark, pandas, or similar data processing frameworks.</li><li class="leading-relaxed">Experience with DBT</li><li class="leading-relaxed">Experience with modern data warehousing and lakehouse platforms, preferably Databricks.</li><li class="leading-relaxed">Hands-on experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.</li><li class="leading-relaxed">Strong understanding of data modeling, ETL design, and distributed data systems.</li><li class="leading-relaxed">Experience with AWS data and compute services (S3, Lambda, ECS, CloudWatch, etc.) or equivalent cloud platforms.</li><li class="leading-relaxed">Familiarity with MLOps concepts (e.g., feature stores, model registries, CI/CD for ML).</li><li class="leading-relaxed">Experience using Infrastructure as Code, preferably Terraform.</li><li class="leading-relaxed">Excellent problem-solving, collaboration, and communication skills; comfortable working in a dynamic, fast-paced environment.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">What We Offer</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Competitive pay, complete health insurance, 401(k) matching, and an employee equity plan.</li><li class="leading-relaxed">Flexible time off, paid holidays, paid parental leave, and a paid year-end holiday break.</li><li class="leading-relaxed">A robust catalog of benefits that support your professional growth and personal wellbeing, including work from home funds, fertility & adoption reimbursement, and more…</li></ul>Plus the intangible:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">A varied and challenging role in an innovative, global company.</li><li class="leading-relaxed">Supportive, driven colleagues who have your back and share your passion.</li></ul>The typical base salary range for this position is $130,000 - $140,000 per year. The range displayed on this job posting reflects the minimum and maximum target for new hire base pay for this position and your pay will be determined by a variety of factors, including your primary work location, skills, qualifications and experience. Additional benefits information is listed on our careers page.Please share this with your friends or co-workers who may be interested in working at GoGuardian! We have multiple openings and are always looking for talented people.GoGuardian is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. GoGuardian does not discriminate against employees, applicants, interns or volunteers on the basis of race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, pregnancy, marital status, sex, age, sexual orientation, military and veteran status, registered domestic partner status, genetic information, gender, gender identity, gender expression, or any other characteristic protected by applicable law.GoGuardian's Job Applicant Privacy Policy is located <a href="https://www.goguardian.com/policies/job-applicant-privacy-notice" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">here</a>.#BI-Remote

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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.

AI / Platform Engineer (Berlin)

AI / Platform Engineer (NYC)

Senior Backend Engineer (NYC)

Senior Backend Engineer (Berlin)

Senior Backend Engineer (Berlin)

AI / Platform Engineer (NYC)

AI / Platform Engineer (Berlin)

Senior Backend Engineer (NYC)

AI / Platform Engineer (NYC Office)

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