Job Description
Nexus Future Labs is pioneering the technological breakthroughs of 2026 and beyond. We are looking for a visionary Senior AI & Machine Learning Engineer to join our elite research division. In this pivotal role, you will architect the algorithms that will define the next generation of intelligent systems, moving beyond current capabilities into the realm of true autonomous decision-making.
We are a remote-first company with a hub in San Francisco, fostering a culture of radical innovation and technical excellence. If you are passionate about the future of AI and want to build systems that scale globally, this is your opportunity to lead from the front.
Responsibilities
- Architect and deploy scalable machine learning models designed for high-velocity data environments.
- Lead research initiatives in Natural Language Processing (NLP) and Computer Vision to solve complex industry problems.
- Collaborate with product teams to integrate advanced AI capabilities into consumer and enterprise software.
- Optimize neural networks for reduced latency and increased accuracy in cloud-native architectures.
- Establish and enforce best practices for MLOps, CI/CD, and model versioning.
- Ensure all AI systems adhere to strict ethical guidelines, data privacy standards, and safety protocols.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of professional experience in machine learning engineering or data science.
- Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Deep understanding of deep learning architectures (Transformers, GANs, RNNs).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong background in statistical analysis and large-scale data processing.