Job Description
Are you ready to architect the future?
We are 2026, a visionary AI research lab redefining the boundaries of generative intelligence. We are looking for a visionary Senior Machine Learning Engineer to join our elite engineering team in San Francisco.
In this role, you will not just implement existing models; you will architect the infrastructure that powers the next generation of intelligent systems. We value autonomy, ownership, and radical transparency. If you are obsessed with pushing the boundaries of deep learning and want to work in an environment where your code impacts billions, this is your stage.
Why join 2026?
• Impactful Work: Solve complex problems that have no easy answers.
• Top-Tier Compensation: Competitive salary and equity package.
• Flexible Environment: Hybrid work model supporting your best output.
Responsibilities
- Design, develop, and deploy scalable machine learning models and deep learning architectures.
- Collaborate with cross-functional teams of data scientists, researchers, and product managers to define technical requirements and roadmaps.
- Optimize existing models for inference speed and memory efficiency in production environments.
- Build robust data pipelines to support continuous training and evaluation workflows.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field, or equivalent professional experience.
- 5+ years of experience in machine learning engineering, specifically with deep learning frameworks (PyTorch, TensorFlow, JAX).
- Strong proficiency in Python and experience with distributed computing systems (Kubernetes, Spark).
- Proven track record of deploying models to production in a cloud environment (AWS, GCP, or Azure).
- Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.