Job Description
Are you ready to architect the technological landscape of 2026 and beyond? Nexus Future Labs is on a mission to democratize Artificial General Intelligence (AGI). We are seeking a visionary Senior AI/ML Engineer to lead the core architecture of our next-generation generative models.
In this role, you will bridge the gap between cutting-edge academic research and scalable production engineering. You won't just maintain the status quo; you will define the foundational systems that power the intelligent applications of tomorrow. Join a team of world-class researchers and engineers dedicated to solving humanity's most complex problems.
Why Join Us?
- Future-Proof Technology: Work on LLMs, Reinforcement Learning, and Autonomous Agents.
- Equity-Driven Growth: Competitive compensation package with significant equity opportunities.
- Flexible Environment: Hybrid work model based in our San Francisco hub.
Responsibilities
- Design and implement scalable deep learning architectures for Large Language Models (LLMs) and multimodal systems.
- Optimize model inference latency and reduce computational costs using quantization and pruning techniques.
- Collaborate with product teams to translate research breakthroughs into production-ready features.
- Establish and maintain MLOps pipelines for model training, evaluation, and deployment.
- Conduct rigorous research and experimentation with novel neural network architectures.
- Mentor junior engineers and contribute to the technical roadmap for future AI capabilities.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience building and deploying machine learning systems.
- Proficiency in Python, PyTorch, or TensorFlow with a deep understanding of deep learning frameworks.
- Strong background in Natural Language Processing (NLP), Transformers, or Generative AI.
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.