Job Description
We are on a mission to engineer the future. Apex Future Systems is seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. As we prepare for our 2026 roadmap, we are building the next generation of autonomous agents and generative intelligence systems. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and distributed systems, we want to hear from you.
In this pivotal role, you will not just write code; you will define the architecture of our AI ecosystem. You will work with a world-class team of researchers and engineers to deploy scalable, efficient, and ethical AI solutions that will redefine user experiences in the coming years.
Responsibilities
- Architect and deploy scalable machine learning pipelines using Python, PyTorch, and TensorFlow.
- Optimize inference latency and reduce computational costs for production-grade models.
- Collaborate with product managers and data scientists to translate business requirements into technical specifications.
- Implement and evaluate novel algorithms, with a focus on NLP and Computer Vision.
- Mentor junior engineers and conduct rigorous code reviews to maintain high engineering standards.
- Ensure data privacy, security, and compliance with industry regulations.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in Machine Learning, AI, or Deep Learning engineering.
- Strong proficiency in Python and experience with deep learning frameworks (PyTorch, TensorFlow, JAX).
- Experience deploying models to cloud environments (AWS, GCP, or Azure) using Docker and Kubernetes.
- Proven ability to work with large-scale datasets and distributed computing systems.
- Excellent communication skills and a passion for solving complex technical problems.