Job Description
Are you ready to redefine the boundaries of artificial intelligence? Nexus AI Labs is seeking a visionary Senior Machine Learning Engineer to join our core research and development team in San Francisco. We build cutting-edge generative models that solve complex real-world problems at scale. In this role, you will lead high-impact projects, mentor junior engineers, and collaborate with world-class researchers to deploy performant production models.
We offer a dynamic, fast-paced environment where innovation is the standard, not the exception. Join us as we push the limits of what's possible in the Science & Technology sector.
Responsibilities
- Architect and implement scalable machine learning pipelines for training large-scale models.
- Design and refine novel algorithms to improve model accuracy and inference latency.
- Collaborate with product and data engineering teams to integrate ML solutions into production environments.
- Conduct rigorous performance analysis and model evaluation to ensure system reliability.
- Provide technical leadership and mentorship to the engineering team.
- Contribute to the research roadmap by investigating emerging trends in neural architectures.
- Optimize resource utilization across distributed GPU computing clusters.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning, NLP, or computer vision.
- Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Deep understanding of cloud infrastructure (AWS/GCP) and containerization (Docker/Kubernetes).
- Strong knowledge of distributed computing and optimization techniques.
- Excellent communication skills with the ability to explain complex technical concepts to cross-functional stakeholders.
- Track record of published research or successful production-grade ML implementations.