Job Description
Are you ready to shape the future of artificial intelligence? 2026 is looking for a visionary Principal Machine Learning Engineer to join our elite engineering team in San Francisco. In this pivotal role, you will drive the development of next-generation AI models that power our global infrastructure. You will work at the intersection of cutting-edge research and scalable production systems, mentoring junior engineers and defining technical roadmaps.
Why Join Us?
- Impactful Work: Build algorithms that directly influence millions of users worldwide.
- Top-Tier Compensation: Competitive salary, equity packages, and comprehensive benefits.
- Innovation First: Work with the latest in deep learning, NLP, and generative AI.
We are committed to diversity and inclusion. We encourage applications from all qualified candidates regardless of background.
Responsibilities
- Design, develop, and deploy scalable machine learning models and systems in production environments.
- Collaborate with data scientists and product managers to translate business requirements into technical solutions.
- Mentor junior engineers and conduct code reviews to ensure high standards of quality and engineering practices.
- Research and implement novel algorithms to improve model accuracy, latency, and efficiency.
- Optimize existing models for distributed computing environments and cloud infrastructure.
- Define technical architecture and strategy for ML initiatives across the organization.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 8+ years of professional experience in software engineering and machine learning.
- Strong proficiency in Python, TensorFlow, PyTorch, or JAX.
- Deep understanding of distributed systems, MLOps, and cloud platforms (AWS, GCP, or Azure).
- Experience with large-scale data processing frameworks (Spark, Kafka, Hadoop).
- Proven track record of shipping production-level AI products.