Job Description
Shape the Future of Intelligence with Nexus Future Labs
We are seeking a visionary Senior AI Engineer to join our elite R&D team. In this pivotal role, you will architect and deploy state-of-the-art machine learning models that define the next generation of our generative AI platform. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and building scalable AI solutions, we want to hear from you.
Why Join Us?
- Work with cutting-edge technology including Transformers, GANs, and Reinforcement Learning.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium San Francisco office access.
Responsibilities
- Model Architecture: Design, train, and fine-tune complex deep learning models, with a focus on LLMs and Natural Language Processing (NLP).
- System Optimization: Optimize model inference latency and throughput to ensure seamless user experiences.
- MLOps Implementation: Build and maintain robust CI/CD pipelines for model training and deployment using tools like Kubernetes, Docker, and MLflow.
- Research & Development: Stay abreast of the latest academic research and industry trends to integrate novel algorithms into our production stack.
- Cross-Functional Collaboration: Partner with data scientists, software engineers, and product managers to translate business requirements into technical AI solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years leading complex model deployment projects.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and Scikit-learn. Strong understanding of deep learning architectures.
- Infrastructure: Experience with cloud platforms (AWS/Azure/GCP) and containerization technologies.
- Problem Solving: Demonstrated ability to troubleshoot complex mathematical and engineering challenges.