Job Description
Are you ready to shape the future of technology?
2026 Inc. is a cutting-edge technology firm specializing in predictive analytics and autonomous systems. We are seeking a visionary Senior Machine Learning Engineer to lead our research division in San Francisco.
In this role, you will bridge the gap between theoretical AI research and scalable production deployment, working on projects that will define the next decade of human-computer interaction.
Responsibilities
- Architect and implement end-to-end machine learning pipelines for real-time data processing.
- Lead the research and development of novel algorithms in Natural Language Processing (NLP) and Computer Vision.
- Optimize model performance, scalability, and energy efficiency for edge devices.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional teams including product managers, designers, and backend developers.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in Machine Learning Engineering or Applied Research.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of distributed computing frameworks (e.g., Spark, Kubernetes).
- Proven track record of deploying large-scale models into production environments.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.