Job Description
We are seeking a visionary Senior Generative AI Engineer to join Nexus Future Labs. As we pioneer the technological landscape for the next decade, you will be at the forefront of designing, training, and deploying state-of-the-art Large Language Models (LLMs) and multimodal AI systems.
In this role, you won't just write code; you will architect the intelligence that drives our next-generation products. We are looking for a builder who thrives in ambiguity and is passionate about the ethical and transformative potential of AI.
Why Join Us?
- Impactful Work: Build AI solutions that redefine user experiences.
- Top-Tier Compensation: Competitive salary, equity, and comprehensive benefits.
- Innovation Culture: Work with a team of industry leaders and researchers.
- Flexible Environment: Hybrid work model based in the heart of San Francisco.
Responsibilities
- Design and implement scalable machine learning pipelines for large-scale pre-training and fine-tuning of LLMs.
- Research and prototype novel architectures for Generative AI, including text, image, and code generation models.
- Optimize model inference speed and reduce latency using techniques like quantization, distillation, and edge deployment.
- Collaborate with product managers and engineers to integrate AI capabilities into consumer-facing applications.
- Ensure data privacy, model robustness, and compliance with emerging AI regulations.
- Mentor junior engineers and foster a culture of technical excellence and continuous learning.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- 5+ years of professional experience in machine learning, deep learning, or natural language processing.
- Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Strong understanding of transformer architectures, attention mechanisms, and reinforcement learning from human feedback (RLHF).
- Experience deploying models to production environments (Kubernetes, Docker, AWS/GCP/Azure).
- Excellent communication skills and the ability to translate complex technical concepts for diverse audiences.