Sapient is a stealth technology startup revolutionizing the gaming industry with a groundbreaking Generative AI game development platform. Our mission is to democratize game development and fuel creative innovation in the $300 billion gaming market. By simplifying and reducing the cost of creating hyper-immersive gameplay, we empower enterprise game development studios to push the boundaries of storytelling and player engagement.
We're expanding our team of world-class ML scientists, ML engineers, and gaming engineers. As a Machine Learning Engineer at Sapient, you'll be a key voice on the founding team and work on engineering cutting-edge AI products that help our customers bring joy to millions of gamers. This role requires a strong foundation in deep learning, generative modeling, and experience in implementing models for real-world applications. We're seeking innovators who want to be on the bleeding edge of AI and have a passion for revolutionizing gaming.
As lifelong gamers, we are deeply passionate about helping customers transform how digital experiences are crafted. By pioneering seamless AI integration in game development, Sapient is leading the charge into an exciting new era of creativity and immersion in gaming.
Who You Are
- Passionate, self-driven, and adaptable with experience building AI models and systems for production use cases
- Strong software engineering background with ability to design, write, and test high-quality object-oriented code in production
- Proven track record of software development in Python or C++
- Experienced in deep learning, unsupervised, self or semi-supervised learning, model architecture design and optimization techniques
- Experience with major deep learning and machine learning frameworks like PyTorch, TensorFlow, and SciKit-Learn
- Preferred: Gaming nerd 🤓 like us, with an interest in interactive real-time systems
What You Will Do
- Develop innovative machine-learning technology and products that help developers build immersive digital experiences that bring joy to millions of gamers
- Build state-of-the-art GenAI text, image, and human-machine interface pipelines while tracking advances in AI frontier technology
- Develop model performance and evaluation systems ensuring models are robust, scalable, and capable of handling diverse input scenarios
- Help lead AI pipeline optimization efforts using cutting-edge approaches and frameworks.
- Utilize large, real-world proprietary customer datasets to improve models
- Write clean, efficient, and maintainable object-oriented code utilizing your strong understanding of programming principles and design patterns
In addition to base pay, total compensation will include equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future
