Job Description
Are you ready to architect the future of autonomous systems? Nexus AI Labs is seeking a visionary Senior Machine Learning Engineer to join our elite R&D team in San Francisco. You will play a pivotal role in designing scalable models that process high-velocity data to solve complex real-world challenges.
We offer a high-impact environment where innovation is prioritized, and your work will directly influence our core product roadmap.
Responsibilities
- Design, develop, and deploy scalable ML models into production environments.
- Collaborate with cross-functional teams to integrate AI capabilities into existing infrastructure.
- Conduct rigorous A/B testing and model evaluation to ensure peak performance and accuracy.
- Optimize neural network architectures for latency and resource efficiency.
- Provide technical leadership and mentorship to junior engineering staff.
- Stay at the forefront of AI research by contributing to internal knowledge sharing and industry conferences.
- Develop robust data pipelines to manage large-scale training datasets.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning, deep learning, or data science.
- Expertise in Python, PyTorch, or TensorFlow.
- Deep understanding of distributed computing frameworks like Spark or Ray.
- Experience with cloud-based infrastructure (AWS, GCP, or Azure).
- Proven track record of deploying models into high-traffic production environments.
- Strong problem-solving skills and a passion for engineering excellence.