Job Description
We are seeking a visionary Senior Machine Learning Engineer to join our elite team in San Francisco. As we pioneer the next generation of artificial intelligence, your role will be pivotal in architecting systems that redefine user experience and operational efficiency.
In this position, you will bridge the gap between theoretical research and production-grade software, working on large-scale language models and predictive analytics.
Responsibilities
- Architect and deploy scalable machine learning models and pipelines.
- Collaborate with data scientists to fine-tune LLMs for specific enterprise use cases.
- Optimize model inference speed and reduce latency in real-time applications.
- Establish MLOps best practices for CI/CD and model versioning.
- Conduct rigorous A/B testing and performance analysis.
- Mentor junior engineers and foster a culture of technical excellence.
Qualifications
- Master’s degree in Computer Science, AI, or related field.
- 5+ years of professional experience in machine learning engineering.
- Proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of distributed systems and cloud infrastructure (AWS/GCP).
- Experience with data wrangling tools (Pandas, Spark).
- Excellent problem-solving skills and communication abilities.