Job Description
We are building the technology stack of tomorrow, today. FutureScale Technologies is seeking a visionary Senior AI & Machine Learning Architect to lead our R&D division. In this pivotal role, you will not just implement existing solutions; you will define the architectural standards for the year 2026 and beyond.
Our mission is to create scalable, ethical, and transformative AI systems that solve complex global challenges. If you are passionate about the future of intelligent systems and want to shape the landscape of next-generation technology, we want to meet you.
Why Join Us?
- Work on cutting-edge generative models and predictive analytics.
- Competitive compensation package with equity opportunities.
- Flexible remote-first culture with premium office amenities in SF.
- Professional development budget for conferences and certifications.
Responsibilities
- Architect Design: Design and implement scalable, high-performance machine learning pipelines and infrastructure capable of supporting enterprise-level growth.
- Strategic Innovation: Lead research initiatives focused on emerging AI trends (e.g., LLMs, reinforcement learning) to ensure we are ahead of the 2026 technology curve.
- Team Leadership: Mentor a team of data scientists and engineers, fostering a culture of technical excellence and continuous learning.
- Model Optimization: Oversee the full lifecycle of model development, from data ingestion and preprocessing to deployment and monitoring.
- Collaboration: Partner with product and engineering teams to translate business requirements into robust technical solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on Machine Learning and AI architecture.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and major cloud platforms (AWS, GCP, or Azure).
- Deep Learning: Strong understanding of deep neural networks, NLP, and computer vision architectures.
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems with innovative technical approaches.