Job Description
At Apex AI Labs, we are pioneering the next generation of artificial intelligence solutions that power intelligent applications for global enterprises. We are seeking a visionary Lead Machine Learning Engineer to join our elite technical team in San Francisco. You will be responsible for architecting scalable, robust machine learning systems and leading a team of data scientists in pushing the boundaries of what's possible with deep learning and generative models.
If you are passionate about building state-of-the-art AI infrastructure and want to have a tangible impact on the future of technology, we want to hear from you.
Why Join Us?
- Competitive compensation package and equity.
- Flexible remote-first policy with a hub in the heart of SF.
- Access to cutting-edge hardware and proprietary datasets.
- Professional development and mentorship opportunities.
Responsibilities
- Architect and deploy scalable machine learning pipelines and models in production environments.
- Lead the research and implementation of novel deep learning architectures for Natural Language Processing (NLP) and Computer Vision.
- Optimize model inference latency and resource utilization to ensure high performance under load.
- Establish best practices for data governance, model monitoring, and MLOps automation.
- Mentor and guide junior engineers and data scientists, fostering a culture of technical excellence.
- Collaborate closely with product managers and engineering teams to translate business requirements into technical AI solutions.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in machine learning engineering or applied research.
- Expert proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Demonstrated track record of deploying large-scale ML models to production.
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.