Job Description
Join 2026 Innovations and help define the technological landscape of the near future. We are a cutting-edge research lab focused on developing scalable Artificial Intelligence solutions for enterprise integration. As a Senior Machine Learning Engineer, you will play a pivotal role in architecting our core models and deploying them to production environments. We value forward-thinking engineers who are passionate about ethical AI and building systems that impact millions.
Why Join Us?
- Work on state-of-the-art AI/ML models.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a San Francisco hub.
- Opportunities for continuous learning and research.
Responsibilities
- Design, train, and deploy scalable machine learning models and deep neural networks using Python and modern frameworks.
- Collaborate with data scientists and engineers to optimize data pipelines and improve model accuracy.
- Implement MLOps practices to ensure robust monitoring, CI/CD, and model versioning.
- Conduct rigorous testing and validation to ensure model reliability and fairness.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Stay abreast of the latest research in AI to integrate cutting-edge techniques into our production stack.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in machine learning, AI, or data science roles.
- Strong proficiency in Python (PyTorch, TensorFlow, or JAX) and SQL.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of deploying end-to-end machine learning systems in production environments.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.