Job Description
Are you ready to define the technology stack of tomorrow? Nexus Future Systems is at the forefront of the AI revolution, building the next generation of generative models and autonomous agents. We are seeking a visionary Senior AI/ML Engineer to join our elite R&D division in San Francisco.
In this role, you won't just be maintaining existing models; you will architect scalable, fault-tolerant AI systems that push the boundaries of what is possible in 2026 and beyond. If you are passionate about Large Language Models (LLMs), Deep Learning, and ethical AI, we want to hear from you.
Why Join Us?
- Work on cutting-edge GenAI infrastructure.
- Competitive compensation package ($180k - $250k).
- Flexible remote-first policy with a San Francisco hub.
- Equity participation in a unicorn-scale company.
Responsibilities
- Design, train, and fine-tune large-scale transformer models and generative AI architectures.
- Optimize model inference latency and throughput for production environments.
- Collaborate with cross-functional teams (Product, Data Science, Security) to integrate AI solutions.
- Conduct research to stay ahead of the curve on emerging AI trends, including Multimodal learning.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Ensure data privacy, security, and compliance in all AI training and deployment pipelines.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related field.
- 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning frameworks.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of NLP concepts, LLM fine-tuning (LoRA, PEFT), and RAG architectures.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or shipping high-impact products.