Job Description
Are you ready to build the technology of tomorrow, today? FutureScale Inc. is looking for a visionary Senior AI/ML Engineer to lead the development of our proprietary '2026' architecture. We are a fast-paced startup redefining the landscape of generative intelligence and autonomous agents. If you are an expert in scalable machine learning systems and want to work on the cutting edge of the industry, this is your chance to make an impact.
Our Mission
To democratize access to advanced AI by building robust, efficient, and ethical models that power the next decade of digital transformation.
What You'll Do
As a Senior AI Engineer, you will be responsible for the full lifecycle of our machine learning models, from research and prototyping to production deployment and monitoring. You will work closely with our research team to integrate novel algorithms into our core 2026 stack.
Responsibilities
- Architect and implement scalable machine learning pipelines for the 2026 core technology stack.
- Optimize deep learning models for high-throughput, low-latency inference environments.
- Collaborate with data engineers to ensure data quality and feature engineering best practices.
- Develop and maintain MLOps tools to automate model training, testing, and deployment processes.
- Research and prototype new algorithms in Natural Language Processing (NLP) or Computer Vision.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- Master’s or PhD in Computer Science, Statistics, or a related technical field.
- 5+ years of professional experience in building and deploying production-level AI/ML models.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong experience with distributed systems and cloud infrastructure (AWS, GCP, or Azure).
- Deep understanding of large language models (LLMs), transformers, and neural network architectures.
- Familiarity with containerization technologies (Docker, Kubernetes) and CI/CD pipelines.