Job Description
Are you ready to architect the future? FutureScale Technologies is recruiting a visionary Senior AI Engineer to lead our groundbreaking 'Project 2026' initiative. We are building the next generation of autonomous intelligent systems, and we need a technical leader who thrives on complexity and innovation.
In this pivotal role, you will be at the forefront of developing generative AI models that will redefine industry standards. You will work directly with our CTO and a team of elite engineers to deploy scalable neural architectures that process petabytes of data in real-time.
Why Join Us?
- Work on technology that will shape the landscape of 2026 and beyond.
- Competitive compensation package and equity options.
- Flexible remote-first culture with quarterly in-person team retreats in SF.
The Role
We are looking for a hands-on leader who can bridge the gap between theoretical research and production-grade engineering. If you have a passion for Deep Learning, NLP, and Computer Vision, and you want to leave a lasting legacy, apply today.
Responsibilities
- Architecture Design: Lead the end-to-end design and implementation of advanced machine learning pipelines for Project 2026.
- Model Optimization: Optimize model inference latency and accuracy to ensure real-time performance on edge devices.
- Team Leadership: Mentor a team of junior and mid-level data scientists, conducting code reviews and technical architecture reviews.
- R&D Integration: Translate cutting-edge research papers into deployable, robust software solutions.
- Deployment: Manage the CI/CD pipelines for ML models using Kubernetes and Docker.
- Stakeholder Communication: Present complex technical concepts to non-technical stakeholders and executive leadership.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership capacity.
- Technical Stack: Proficiency in Python, PyTorch or TensorFlow, and experience with cloud platforms (AWS/GCP).
- Mathematical Proficiency: Strong understanding of linear algebra, calculus, and probability.
- Problem Solving: Proven track record of solving complex engineering problems under tight deadlines.
- Communication: Excellent verbal and written communication skills in English.