Job Description
We are building the infrastructure for the next era of intelligent computing. As a Senior AI Engineer 2026 at FutureScale Technologies, you will be at the forefront of the Generative AI revolution. We are looking for a visionary technologist to architect scalable machine learning systems that will define the industry standards for the coming decade.
In this role, you won't just maintain legacy systems; you will pioneer the 2026 AI roadmap, ensuring our solutions are robust, ethical, and infinitely scalable. Join a team of world-class engineers dedicated to solving humanity's hardest problems through code.
Why join us?
- Work with cutting-edge hardware and proprietary Large Language Models.
- Competitive compensation and equity package.
- Flexible remote-first culture with a vibrant SF office.
Responsibilities
- Architect & Deploy: Design and implement scalable machine learning pipelines and production-grade APIs for our 2026 core products.
- Model Optimization: Fine-tune and optimize large transformer models for specific industry verticals, focusing on latency and throughput.
- Research & Development: Stay ahead of the curve by researching emerging AI paradigms and integrating them into our product suite.
- Ethical AI: Establish and enforce guidelines for responsible AI usage, ensuring bias mitigation and data privacy compliance.
- Mentorship: Lead a team of junior engineers, conducting code reviews and technical workshops to foster a culture of continuous learning.
- Collaboration: Partner with product managers and data scientists to translate complex requirements into technical specifications.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and CUDA programming.
- Experience: 5+ years of experience in machine learning engineering, with a focus on NLP or Computer Vision.
- Infrastructure: Proven track record of deploying models on cloud platforms (AWS/GCP/Azure) using Kubernetes and Docker.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems in high-pressure environments.
- Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.