Job Description
We are Nexus Future Labs, a cutting-edge AI research company based in the heart of San Francisco. We are on a mission to redefine human-computer interaction through next-generation generative AI models. We are looking for a Senior AI Engineer who is passionate about pushing the boundaries of what is possible in machine learning.
In this role, you will lead the architecture and implementation of large-scale neural networks. You will work closely with product teams to deploy models that drive real-world impact. If you are a builder who thrives in a fast-paced, innovative environment, we want to meet you.
Why Join Us?
- Competitive salary and equity package.
- Work with state-of-the-art hardware (NVIDIA H100 clusters).
- Flexible remote-first policy with a hub in SF.
- Unlimited PTO and top-tier health benefits.
Responsibilities
- Design, train, and fine-tune large language models (LLMs) for enterprise applications.
- Optimize model inference speed and reduce latency for real-time applications.
- Collaborate with data scientists and backend engineers to integrate AI models into production pipelines.
- Conduct research on novel architectures to improve model accuracy and efficiency.
- Establish best practices for MLOps, monitoring, and model governance.
- Mentor junior engineers and contribute to the technical roadmap.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field.
- 5+ years of experience in Machine Learning or Deep Learning.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of NLP, Transformers, and attention mechanisms.
- Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
- Proven track record of deploying production-grade ML systems.