Job Description
We are seeking a visionary Senior AI Engineer to join Nexus Future Labs in our mission to architect the intelligent systems of 2026. You will be at the forefront of generative AI, large language models (LLMs), and autonomous decision-making systems.
In this role, you will not just write code; you will define the technical roadmap that will power our enterprise solutions for the next decade. You will work in a collaborative, high-performance environment where innovation is the currency.
Why Join Us?
- Work on cutting-edge AI infrastructure.
- Competitive equity and stock options.
- Flexible remote-first policy with premium San Francisco amenities.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art Large Language Models (LLMs) and computer vision algorithms to solve complex business problems.
- Infrastructure & MLOps: Build scalable MLOps pipelines using Kubernetes and Docker to deploy models into production environments ensuring high availability and low latency.
- Research & Innovation: Stay ahead of the curve in AI research, exploring new architectures like Transformers and Diffusion models to integrate into our product suite.
- Performance Optimization: Conduct rigorous benchmarking and optimization to ensure model inference speeds meet 2026 performance standards.
- Collaboration: Partner with product managers, data scientists, and software engineers to translate complex AI capabilities into user-friendly features.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Programming: Expert proficiency in Python, PyTorch, or TensorFlow.
- Experience: 5+ years of experience in deep learning, NLP, or computer vision.
- System Design: Strong understanding of distributed systems, cloud architecture (AWS/GCP), and database design.
- Problem Solving: Proven track record of deploying production-ready machine learning models.