Job Description
Are you ready to shape the future of artificial intelligence? 2026 Technologies is a pioneering research lab dedicated to developing next-generation neural architectures. We are looking for a visionary Senior Machine Learning Engineer to join our elite team in San Francisco.
In this role, you will be instrumental in deploying cutting-edge Large Language Models (LLMs) and optimizing inference pipelines for real-time applications. If you thrive in a fast-paced, innovative environment and want to work on problems that define the technological landscape of tomorrow, we want to hear from you.
Why Join 2026?
We offer competitive equity packages, flexible remote-first policies, and the opportunity to work with world-class researchers. Come build the infrastructure for the year 2026 and beyond.
Responsibilities
- Architect and implement scalable deep learning pipelines using Python, PyTorch, and TensorFlow.
- Optimize model inference latency and memory footprint for edge devices and cloud environments.
- Collaborate with cross-functional teams of data scientists, researchers, and product managers to define technical requirements.
- Conduct rigorous A/B testing and model evaluation to ensure high accuracy and robustness.
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
- Stay abreast of the latest advancements in AI research and integrate new methodologies into our production stack.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, or a related technical field.
- Minimum of 5 years of professional experience in machine learning engineering or research.
- Deep proficiency in Python, C++, and SQL.
- Strong experience with distributed computing frameworks (Apache Spark, Kubernetes, or Ray).
- Proven track record of deploying production-grade ML models at scale.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.