Job Description
Shape the Future of Generative Intelligence
We are looking for a visionary Senior AI Research Engineer to join our elite team in San Francisco. In this pivotal role, you will be at the forefront of developing next-generation Large Language Models (LLMs) and multimodal AI systems. If you are passionate about pushing the boundaries of artificial intelligence and building scalable, responsible AI solutions, we want to hear from you.
Why Join Nexus AI?
- Work on Next-Gen Tech: Directly impact the architecture of the AI models powering the next decade of software.
- Competitive Compensation: Base salary ranging from $180,000 to $250,000 plus equity.
- Flexible Culture: Hybrid work model with a focus on autonomy and innovation.
Responsibilities
- Design and implement novel architectures for LLMs, focusing on efficiency, hallucination reduction, and domain adaptation.
- Conduct cutting-edge research in Natural Language Processing (NLP) and Deep Learning, publishing findings in top-tier conferences.
- Optimize model inference pipelines to ensure high-speed performance in production environments.
- Collaborate closely with product managers and software engineers to translate research into scalable production features.
- Establish best practices for model monitoring, evaluation, and safety (RLHF).
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- 5+ years of professional experience in research or engineering roles within a top-tier AI lab or tech company.
- Deep expertise in PyTorch, TensorFlow, or JAX.
- Strong publication record (NeurIPS, ICML, ACL, etc.) is highly preferred.
- Experience with fine-tuning and instruction tuning of open-source models (Llama, Mistral, etc.).