Job Description
Join 2026 and Shape the Future of Intelligence.
We are looking for a visionary Senior Machine Learning Engineer to join our elite engineering team in San Francisco. At 2026, we are building the infrastructure for next-generation artificial intelligence that will redefine human-machine interaction. If you are passionate about scalable algorithms, deep learning, and solving complex problems, we want to hear from you.
Why join us?
- Work on cutting-edge AI models that impact millions of users.
- Competitive compensation and equity packages.
- Flexible work environment with a focus on innovation.
- Top-tier healthcare and professional development stipends.
Responsibilities
- Design, develop, and deploy scalable machine learning models and infrastructure using Python and modern frameworks.
- Collaborate with data scientists and software engineers to integrate AI solutions into production systems.
- Optimize existing models for speed, accuracy, and resource efficiency to handle high-volume data streams.
- Conduct research to identify new methodologies and implement them into our product roadmap.
- Build and maintain robust MLOps pipelines for continuous training and deployment.
- Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in machine learning, deep learning, or artificial intelligence.
- Proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Deep understanding of statistical analysis, probability, and data structures.
- Excellent problem-solving skills and the ability to communicate complex technical concepts clearly.