Job Description
We are on the precipice of a technological revolution. At Chronos Dynamics, we are not just predicting the future; we are engineering it. As part of our elite Project 2026 initiative, we are building the world's most advanced autonomous decision-making systems.
We are seeking a visionary Lead Machine Learning Engineer to join our core architecture team. This is a rare opportunity to define the neural foundations of our next-generation infrastructure. If you possess an insatiable curiosity and a drive to solve the unsolvable, this is where your career will accelerate.
Why join Project 2026?
- Work on high-impact, cutting-edge AI research.
- Competitive compensation and equity packages.
- Flexible hybrid work environment in the heart of San Francisco.
Responsibilities
- Architect and deploy scalable machine learning pipelines designed for the Project 2026 ecosystem.
- Lead a cross-functional team of data scientists and engineers to optimize model latency, accuracy, and throughput.
- Research and implement state-of-the-art algorithms in generative AI and predictive analytics.
- Collaborate with product leadership to translate complex business objectives into robust technical architectures.
- Establish best practices for MLOps, ensuring continuous integration and deployment of high-stakes models.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related quantitative field.
- Minimum of 6 years of experience in machine learning engineering, with at least 2 years in a leadership or senior individual contributor role.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of distributed computing systems (Kubernetes, Apache Spark, or Ray).
- Strong experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools.