Job Description
We are at the forefront of a technological revolution, building the infrastructure for the year 2026. FutureScale Technologies is seeking a visionary Senior AI Engineer to lead the development of next-generation artificial intelligence systems. If you are passionate about pushing the boundaries of what is possible in machine learning and want to define the standards for the future, we want to hear from you.
In this role, you will not just write code; you will architect the neural networks and data pipelines that will power our products for the next decade. You will work in a collaborative, high-performance environment that values innovation, technical excellence, and rapid iteration.
Why Join Us?
• Work on cutting-edge AI models with real-world impact.
• Competitive compensation package and equity.
• Flexible remote-first policy with office hubs in SF and NYC.
• Continuous learning budget and access to the latest tech stacks.
Responsibilities
- Design & Architect: Design, develop, and deploy robust machine learning models and algorithms tailored for the 2026 data ecosystem.
- Research & Development: Lead research initiatives in Generative AI and Large Language Models to drive product innovation.
- Optimization: Optimize existing ML pipelines for scalability, speed, and cost-efficiency in production environments.
- Collaboration: Partner with cross-functional teams (Product, Engineering, Data Science) to translate business requirements into technical solutions.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of technical growth and best practices.
- Deployment: Manage the full lifecycle of model deployment using containerization and cloud-native technologies.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field.
- Experience: 5+ years of professional experience in Machine Learning and Artificial Intelligence.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and SQL.
- Cloud Expertise: Proven experience deploying models on AWS, GCP, or Azure.
- Problem Solving: Strong ability to tackle complex, unstructured problems and derive actionable insights from data.
- Communication: Excellent verbal and written communication skills for technical presentations and documentation.