Job Description
We are building the infrastructure that defines the technological landscape of 2026 and beyond. At Synthetix Future, we don't just predict the future; we engineer it. We are looking for a visionary Senior AI Architect to lead our Next-Gen AI division. You will be responsible for designing scalable, high-performance machine learning systems that power our autonomous agents and predictive analytics platforms. If you are passionate about pushing the boundaries of generative AI, neural networks, and ethical AI alignment, this is your opportunity to shape the next era of technology.
Why Join Us?
- Work on cutting-edge projects with a team of world-class engineers and researchers.
- Competitive compensation package including equity.
- Flexible remote-first culture with a hub in the heart of the Bay Area.
- Access to the latest hardware and research tools.
Responsibilities
- Design and architect scalable ML pipelines and distributed computing systems optimized for 2026 standards.
- Lead the research and implementation of advanced Large Language Models (LLMs) and multimodal AI agents.
- Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
- Optimize model inference speeds and reduce latency for real-time applications.
- Ensure data integrity, security, and ethical AI compliance across all deployed models.
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
- Stay ahead of industry trends to integrate emerging technologies like quantum-ready algorithms into our stack.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
- 7+ years of professional experience in software engineering, with a focus on AI/ML.
- Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face libraries.
- Proven experience designing and deploying production-grade ML models at scale.
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Experience with MLOps, CI/CD pipelines, and data engineering best practices.
- Excellent problem-solving skills and ability to thrive in a fast-paced, innovative environment.