Job Description
Join 2026: Architect the Future of Intelligence.
At 2026, we are not just predicting the future; we are building it. We are a premier technology firm dedicated to pushing the boundaries of artificial intelligence and machine learning. Our mission is to democratize advanced AI, making it accessible, ethical, and transformative for industries worldwide. We are currently seeking a visionary Senior AI/ML Engineer to join our elite engineering team in the heart of San Francisco.
In this pivotal role, you will lead the development of cutting-edge neural architectures, optimize large-scale distributed systems, and mentor a team of brilliant engineers. If you are passionate about solving complex problems and want to work on products that impact billions of lives, 2026 is your next destination.
Responsibilities
- Model Development: Design, train, and deploy state-of-the-art deep learning models for natural language processing and computer vision applications.
- System Architecture: Architect scalable machine learning pipelines that handle petabytes of data with low latency and high availability.
- Research & Innovation: Stay at the forefront of AI research, implementing novel algorithms and techniques to improve model performance and accuracy.
- Collaboration: Work closely with product managers, data scientists, and engineers to translate complex business requirements into technical solutions.
- Mentorship: Provide technical leadership and mentorship to junior engineers, fostering a culture of continuous learning and excellence.
- Production Optimization: Continuously monitor model performance in production, perform A/B testing, and optimize for efficiency and cost-effectiveness.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Machine Learning or Artificial Intelligence.
- Experience: 5+ years of professional experience in machine learning engineering or applied research.
- Technical Skills: Proficiency in Python (PyTorch, TensorFlow, JAX) and C++. Deep understanding of distributed computing frameworks (Kubernetes, Apache Spark, Ray).
- Domain Knowledge: Strong background in NLP (Transformers, LLMs) or Computer Vision (CNNs, GANs) is highly preferred.
- Problem Solving: Exceptional ability to troubleshoot complex system issues and optimize algorithms for performance and resource usage.
- Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences.