Job Description
We are seeking a visionary Lead AI/ML Engineer to join our elite team in San Francisco. As we prepare for the technological leap of 2026, you will be at the forefront of building scalable, high-performance neural architectures that define the next generation of human-computer interaction.
In this role, you won't just manage code; you will define the roadmap for our proprietary generative models. We are looking for a builder who thrives in ambiguity and possesses the technical prowess to turn theoretical AI concepts into production-ready infrastructure.
Why Nexus Horizon?
We are backed by top-tier venture capital and are scaling rapidly to meet the demand for autonomous AI agents. You will work with state-of-the-art hardware and have the autonomy to architect systems that will be industry standards for years to come.
Responsibilities
- Design and implement scalable ML pipelines capable of handling petabyte-scale data processing for 2026 readiness.
- Lead the architecture of our proprietary Large Language Model (LLM) fine-tuning and inference systems.
- Optimize model latency and throughput using distributed computing techniques and edge deployment strategies.
- Collaborate closely with our research division to translate academic breakthroughs into commercial applications.
- Mentor junior engineers and establish coding standards and best practices for the AI infrastructure team.
- Ensure the security, privacy, and ethical use of data within all AI systems.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, or a related field, or equivalent practical experience.
- 5+ years of experience in Machine Learning Engineering, with at least 2 years in a Lead or Senior capacity.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Strong background in NLP, Computer Vision, or Reinforcement Learning.
- Proven track record of deploying models to production environments serving millions of requests.