Job Description
Are you ready to architect the future of intelligent systems?
FutureScale Systems is at the forefront of the AI revolution. We are seeking a visionary Senior AI Engineer to join our elite team in San Francisco. In this role, you will not just implement existing algorithms; you will pioneer new architectures that redefine human-computer interaction for the modern era.
Our mission is to build scalable, ethically-aware, and high-performance AI solutions that power enterprise growth. If you have a passion for deep learning and a drive to solve complex problems, we want to hear from you.
Why Join Us?
- Competitive Compensation: $160k - $240k base salary plus equity.
- Remote-First Culture: Flexible work arrangements with a focus on output over hours.
- Top-Tier Tech Stack: Access to the latest GPUs and cloud infrastructure.
- Growth Opportunities: Clear pathways to leadership and technical expert roles.
Responsibilities
- Design & Deploy: Architect, train, and deploy large-scale machine learning models for production environments using Python and cloud-native frameworks.
- Research & Innovation: Lead research initiatives in Generative AI and Natural Language Processing to stay ahead of industry trends.
- Model Optimization: Continuously monitor model performance, reduce latency, and optimize inference costs to ensure 99.99% uptime.
- Collaboration: Work closely with data scientists, software engineers, and product managers to integrate AI capabilities into client-facing applications.
- Mentorship: Guide junior engineers and conduct code reviews to maintain high technical standards across the team.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in machine learning engineering or data science.
- Technical Skills: Deep expertise in PyTorch, TensorFlow, or JAX; strong proficiency in Python and SQL.
- Domain Knowledge: Proven track record of working with LLMs (Large Language Models) or Computer Vision systems.
- Problem Solving: Ability to debug complex distributed systems and optimize algorithms for speed and accuracy.