Job Description
Shape the Future of Artificial Intelligence
Nexus AI Research Labs is at the forefront of generative modeling and neural architecture search. We are seeking a visionary Senior Machine Learning Engineer to join our core research team in San Francisco. You will bridge the gap between cutting-edge academic research and scalable production-grade AI systems, working alongside world-class data scientists to solve complex algorithmic challenges.
If you are passionate about pushing the boundaries of what machine learning can achieve, we offer a collaborative, high-impact environment where your contributions will influence the next generation of AI-driven products.
Responsibilities
- Architect and deploy large-scale machine learning models into production environments.
- Collaborate with research scientists to implement and refine novel neural network architectures.
- Optimize model training pipelines for throughput and efficiency using distributed computing frameworks.
- Conduct deep-dive data analysis to identify performance bottlenecks and potential improvements.
- Mentor junior engineers and promote best practices in code quality, documentation, and testing.
- Stay abreast of the latest advancements in LLMs, computer vision, and reinforcement learning.
- Contribute to the strategic technical roadmap for our proprietary AI infrastructure.
Qualifications
- M.S. or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative discipline.
- 5+ years of experience in developing and deploying machine learning systems at scale.
- Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Strong background in distributed systems and cloud infrastructure (AWS/GCP).
- Proven track record of publishing research or shipping impactful ML features.
- Deep understanding of model quantization, pruning, and distributed training techniques.
- Ability to thrive in an agile, fast-paced research and development culture.