Job Description
At Nexus AI Labs, we are building the next generation of autonomous reasoning engines. We are looking for a Senior Machine Learning Engineer to join our core research team in San Francisco. You will play a pivotal role in designing, training, and deploying large-scale neural network models that solve real-world problems in predictive analytics and computer vision.
You will work with a high-performance team in a collaborative, fast-paced environment where innovation is the daily standard.
Responsibilities
- Architect and implement scalable ML models in a production environment using PyTorch and TensorFlow.
- Optimize neural network architectures for inference speed and latency reduction.
- Collaborate with data engineers to build robust data pipelines and feature stores.
- Conduct code reviews and mentor junior engineers to maintain high engineering standards.
- Perform in-depth analysis of model performance and drive iterative improvements based on A/B testing results.
- Contribute to internal research papers and participate in global AI conferences.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning and machine learning systems.
- Expert-level proficiency in Python and C++.
- Deep understanding of transformer architectures and LLM fine-tuning techniques.
- Experience with cloud infrastructure providers such as AWS or Google Cloud Platform.
- Strong background in distributed training and parallel computing.
- Proven ability to bridge the gap between academic research and product deployment.