Job Description
Are you ready to architect the next generation of intelligent systems? 2026 is at the forefront of the AI revolution, building scalable, ethical, and transformative technologies that redefine human potential. We are looking for a visionary Senior Machine Learning Engineer to join our elite team in San Francisco.
In this role, you will not just write code; you will shape the future of data-driven decision-making. You will work with cutting-edge neural architectures and large language models, solving complex problems that have never been solved before. If you thrive in a fast-paced, high-performance environment and want to leave a lasting legacy, this is your opportunity.
Responsibilities
- Design, implement, and deploy state-of-the-art machine learning models for production environments.
- Lead the architecture of scalable data pipelines and infrastructure using cloud-native technologies.
- Collaborate with cross-functional teams of researchers, product managers, and engineers to define product requirements.
- Optimize model performance and accuracy, reducing latency and improving inference speed.
- Establish best practices for MLOps, including model monitoring, versioning, and automated retraining.
- Conduct rigorous code reviews and mentor junior engineers to foster technical excellence.
- Stay ahead of the curve by researching emerging trends in AI, NLP, and Deep Learning.
Qualifications
- Ph.D. or M.S. in Computer Science, Machine Learning, or a related quantitative field (5+ years of industry experience required).
- Extensive experience with Python, PyTorch, TensorFlow, or JAX.
- Strong proficiency in SQL and NoSQL databases.
- Deep understanding of distributed systems and cloud platforms (AWS, GCP, or Azure).
- Proven track record of shipping production-ready ML products.
- Excellent communication skills with the ability to translate technical concepts to non-technical stakeholders.