Job Description
About 2026
We are the architects of the next era of intelligence. At 2026, we don't just predict the future; we engineer it. We are looking for a visionary Senior Machine Learning Engineer to lead the development of our flagship predictive AI platform. You will be responsible for deploying state-of-the-art models that solve complex problems for enterprise clients.
Why Join Us?
- Work on groundbreaking AI technology that defines the industry standard.
- Competitive compensation and equity packages.
- Flexible remote-first culture with hubs in SF and NYC.
Responsibilities
Responsibilities
- Design, train, and deploy scalable machine learning models and deep learning architectures.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers.
- Optimize algorithms for high performance and low latency in production environments.
- Mentor junior engineers and establish best practices for data engineering and model governance.
- Conduct research to stay abreast of the latest advancements in NLP, Computer Vision, or Reinforcement Learning.
- Translate business requirements into technical solutions using advanced statistical methods.
Qualifications
Qualifications
- Master’s or PhD in Computer Science, Statistics, or a related quantitative field (preferred).
- 5+ years of professional experience in machine learning, AI, or data science.
- Proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Experience with big data technologies such as Spark, Hadoop, or SQL databases.
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.