Job Description
Are you ready to architect the future of artificial intelligence? Nexus AI Research Labs is seeking a high-impact Senior Machine Learning Engineer to join our elite team in San Francisco. We focus on developing scalable, ethical, and high-performance neural networks that solve complex real-world challenges.
You will work at the intersection of academic research and production-grade software engineering, collaborating with top-tier talent to push the boundaries of what is possible in large-scale machine learning.
Responsibilities
- Design, implement, and deploy production-grade machine learning models to solve complex business problems.
- Collaborate with data scientists and engineers to optimize model performance and inference latency.
- Architect and maintain robust data pipelines that feed high-quality training sets into distributed systems.
- Conduct code reviews and mentor junior engineers to uphold high engineering standards.
- Lead research initiatives for model optimization and neural architecture search.
- Participate in the full software development lifecycle from conceptualization to deployment.
- Stay at the forefront of AI research by publishing findings and attending global technical conferences.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning, computer vision, or natural language processing.
- Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Solid understanding of distributed computing and cloud-based infrastructure (AWS, GCP, or Azure).
- Proven track record of deploying scalable ML models in production environments.
- Strong background in data structures, algorithms, and system design.
- Excellent communication skills with the ability to bridge the gap between technical research and product requirements.