Job Description
At 2026, we are redefining the boundaries of artificial intelligence and autonomous systems. We are a fast-paced, high-growth technology firm focused on building the intelligent infrastructure of tomorrow. We are currently seeking a highly skilled Senior Machine Learning Engineer to join our elite engineering team in San Francisco.
In this pivotal role, you will be instrumental in developing, training, and deploying state-of-the-art machine learning models that power our core products. You will work with a diverse group of engineers and researchers to push the envelope of what is possible in AI.
What you will do:
- Develop and optimize deep learning algorithms for large-scale data processing.
- Collaborate with data scientists to fine-tune models for real-world applications.
- Design scalable infrastructure for model training and inference.
- Conduct rigorous testing and validation to ensure model accuracy and performance.
- Document technical specifications and best practices for the engineering team.
Responsibilities
- Develop and optimize deep learning algorithms for large-scale data processing.
- Collaborate with data scientists to fine-tune models for real-world applications.
- Design scalable infrastructure for model training and inference.
- Conduct rigorous testing and validation to ensure model accuracy and performance.
- Document technical specifications and best practices for the engineering team.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in Machine Learning or Deep Learning.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Deep understanding of statistical modeling and data analysis.
- Excellent problem-solving skills and ability to work in a fast-paced agile environment.