Job Description
FutureScale Inc. is at the forefront of the AI revolution, building the intelligent systems that will define the 2026 landscape. We are seeking a visionary Senior AI & Machine Learning Engineer to join our elite engineering team in San Francisco. In this role, you will architect the next generation of neural networks, optimize large-scale generative models, and ensure our AI solutions are ethical, scalable, and transformative.
As a leader in the niche of future tech, we prioritize innovation over convention. You will work directly with our CTO and product leadership to translate complex AI concepts into robust, production-ready software that impacts millions of users worldwide.
Why Join Us?
- Work on cutting-edge Generative AI and LLM integration.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a vibrant San Francisco hub.
- Access to the latest hardware and cloud infrastructure.
Responsibilities
- Architect & Develop: Design, implement, and deploy advanced machine learning models, with a focus on Generative AI and Large Language Models (LLMs).
- Optimization: Fine-tune and optimize models for speed, accuracy, and resource efficiency on cloud infrastructure (AWS/GCP/Azure).
- Research & Innovation: Stay ahead of the curve in the 2026 tech niche, researching and integrating emerging AI paradigms (e.g., Neuromorphic computing, Quantum ML interfaces) into our stack.
- Collaboration: Partner with cross-functional teams (Data Science, Product, Engineering) to define AI strategy and drive technical roadmaps.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Ethical AI: Ensure all AI deployments adhere to strict ethical guidelines and bias mitigation protocols.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of data structures, algorithms, and software design principles.
- Cloud Expertise: Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated track record of solving complex, open-ended engineering challenges in high-pressure environments.