Job Description
Welcome to the future. At 2026 Systems, we are pioneering the next generation of artificial intelligence, working on projects that will define the technological landscape of the upcoming decade. We are seeking a visionary Lead Machine Learning Engineer to join our elite team in San Francisco.
As a key driver of our innovation engine, you will bridge the gap between theoretical research and scalable production systems. We are not just building models; we are architecting the intelligence that powers global operations. If you thrive in a fast-paced, high-impact environment and want to leave a mark on the future of tech, this is your opportunity.
Responsibilities
- Architect and deploy scalable machine learning pipelines and production-grade models.
- Lead research initiatives focused on Large Language Models (LLMs) and generative AI applications.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Mentor junior engineers and conduct code reviews to ensure high standards of quality and security.
- Optimize model inference latency and resource utilization to ensure real-time performance.
- Stay at the forefront of the AI landscape, evaluating new libraries and frameworks to drive technical innovation.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related technical field.
- 5+ years of professional experience in machine learning, deep learning, or AI engineering.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Demonstrated success in deploying models to high-traffic production environments.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.