Job Description
The Future is Now. Nexus Future Labs is pioneering the next generation of artificial intelligence. We are seeking a visionary Senior Generative AI Engineer to join our elite R&D team in San Francisco. You will be at the forefront of developing scalable, state-of-the-art Large Language Models (LLMs) and multimodal systems that will define the landscape of 2026 and beyond.
As a key technical leader, you will bridge the gap between cutting-edge research and production-grade deployment. If you are passionate about the potential of AI and want to build systems that truly understand and generate human-like intelligence, we want to meet you.
Why Join Us?
- Work on projects that define the future of human-computer interaction.
- Competitive compensation package and equity options.
- Top-tier talent and a culture of innovation and collaboration.
- Flexible remote and hybrid work options.
Responsibilities
- Architect and train state-of-the-art Large Language Models using transformer architectures.
- Optimize model inference for speed and cost-efficiency in high-scale production environments.
- Implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
- Collaborate with data scientists to curate and preprocess massive datasets for fine-tuning.
- Conduct rigorous A/B testing and evaluation of model outputs to ensure safety and alignment.
- Stay abreast of the latest research in the field and integrate novel techniques into our production stack.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- 5+ years of professional experience in Machine Learning or Deep Learning engineering.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of Transformer models, attention mechanisms, and generative architectures.
- Experience deploying ML models to cloud environments (AWS, GCP, or Azure).
- Strong grasp of NLP concepts, including tokenization, embeddings, and semantic search.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.