Job Description
Are you ready to shape the future of artificial intelligence? Nexus Future Labs is launching Project 2026, a groundbreaking initiative designed to redefine the boundaries of generative AI and autonomous systems. We are seeking a visionary Senior Machine Learning Engineer to join our elite engineering team in San Francisco.
In this role, you will be responsible for architecting the core neural networks that will power the next generation of intelligent applications. You will work in a fast-paced, collaborative environment alongside world-class researchers and developers.
Why Join Project 2026?
- Impact: Work on technology that will be industry-defining in the near future.
- Equity: Competitive compensation package including substantial stock options.
- Environment: Top-tier talent in a fully remote-first hybrid culture.
Responsibilities
- Design, train, and deploy large-scale machine learning models and neural networks.
- Optimize existing algorithms for speed, scalability, and accuracy on massive datasets.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Implement best practices for MLOps, data pipelines, and model monitoring.
- Research and evaluate new techniques in deep learning and reinforcement learning.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in machine learning engineering or applied research.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Experience with distributed computing systems (e.g., Kubernetes, Spark).
- Proven track record of shipping production-grade AI products.