Job Description
Are you ready to define the future of intelligence?
At Epoch 2026, we are not just building software; we are architecting the cognitive foundation of the next decade. As a leading pioneer in advanced AI and quantum computing integration, we are looking for a visionary Senior AI/ML Engineer to join our elite San Francisco team.
In this pivotal role, you will spearhead the development of next-generation neural networks and scalable machine learning models designed to solve complex global challenges. If you are passionate about pushing the boundaries of what is possible and thrive in a high-performance environment, we want to hear from you.
Why Join Epoch 2026?
- Impact: Work on projects that will define the technological landscape of 2026 and beyond.
- Innovation: Access to cutting-edge hardware and proprietary algorithms.
- Culture: A diverse, inclusive environment fueled by curiosity and creativity.
Don't just predict the future—shape it. Apply today.
Responsibilities
- Design, train, and deploy advanced machine learning models and deep neural networks with a focus on scalability and efficiency.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Optimize existing algorithms and infrastructure to reduce latency and improve processing speeds for real-time applications.
- Conduct rigorous research on emerging AI methodologies and implement best practices for model governance and ethical AI usage.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Drive the roadmap for integrating next-gen AI capabilities into our core product suite.
Qualifications
- Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
- Minimum of 5+ years of professional experience in AI, Machine Learning, or Deep Learning engineering.
- Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Deep understanding of distributed systems, big data processing, and MLOps pipelines.
- Proven track record of delivering production-ready AI products with measurable business impact.
- Excellent problem-solving skills and the ability to thrive in fast-paced, ambiguous environments.