Job Description
Join the Team Shaping the 2026 Technology Landscape
Synthetix Future Labs is at the forefront of next-generation artificial intelligence. We are building the core infrastructure that will power the digital economy of 2026 and beyond. We are seeking a visionary Senior Machine Learning Engineer to lead our R&D efforts in Generative AI, Large Language Models (LLMs), and predictive analytics.
In this role, you won't just be maintaining existing systems; you will architect the foundation for our 2026 roadmap. You will work with a world-class team of data scientists, researchers, and engineers to solve complex problems that define the future of human-computer interaction.
Why Join Us?
- Work on cutting-edge technology that defines the 2026 era.
- Competitive compensation and equity packages.
- Flexible remote-first culture with headquarters in San Francisco.
- Continuous learning budget and access to the latest hardware.
Responsibilities
- Design, develop, and deploy scalable machine learning models and algorithms for high-volume production environments.
- Lead the research and implementation of advanced Generative AI architectures to enhance product capabilities.
- Optimize existing models for speed, accuracy, and energy efficiency to meet future hardware standards.
- Collaborate with cross-functional teams including product managers and data engineers to translate business needs into technical solutions.
- Conduct rigorous testing, validation, and monitoring of model performance to ensure reliability and safety.
- Mentor junior engineers and contribute to the technical roadmap for the 2026 timeline.
Qualifications
- PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of professional experience in machine learning, deep learning, or natural language processing.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Deep understanding of transformer architectures and LLM fine-tuning techniques.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.