Job Description
Are you ready to build the future of intelligent systems?
FutureScale Inc. is seeking a visionary Senior AI Engineer to join our elite engineering team in San Francisco. As a pioneer in the 2026 tech landscape, we are redefining what's possible with Generative AI, Natural Language Processing, and Large Language Models (LLMs).
In this role, you will not just write code; you will architect the neural networks that power the next generation of enterprise software. You will work in a dynamic, high-performance environment with a mission to democratize artificial intelligence.
Why Join Us?
- Work with state-of-the-art hardware and cloud infrastructure.
- Competitive equity package and comprehensive benefits.
- Collaborate with world-class researchers and engineers.
- Shape the roadmap for our flagship AI products.
Responsibilities
- Design, develop, and deploy scalable machine learning models and deep learning architectures using Python and modern frameworks.
- Lead the end-to-end machine learning lifecycle, including data ingestion, feature engineering, model training, validation, and deployment.
- Optimize model inference speeds and reduce latency for real-time AI applications.
- Collaborate with cross-functional teams (Product, Design, Data Science) to translate business requirements into technical AI solutions.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Research and prototype cutting-edge algorithms to stay ahead of industry trends in Generative AI and NLP.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, or a related field, or equivalent practical experience.
- 5+ years of professional experience in software development, with at least 3 years specifically in Machine Learning/Deep Learning.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Extensive experience with Natural Language Processing (NLP) and Large Language Models (LLMs).
- Deep understanding of MLOps, cloud platforms (AWS/GCP/Azure), and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.