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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join 2026, the pioneer in next-generation artificial intelligence solutions. We are on a mission to build the digital brain of the future, and we are looking for a visionary Senior Machine Learning Engineer to join our elite engineering team in San Francisco. In this role, you will be at the forefront of innovation, architecting robust machine learning systems that power our core products and redefine user experiences.

As a key member of our technical staff, you will have the autonomy to explore cutting-edge research and translate it into scalable, production-ready applications. We value deep technical expertise, creative problem-solving, and a relentless drive to push the boundaries of what is possible in AI.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and algorithms.
  • Build and maintain high-performance data pipelines and infrastructure.
  • Collaborate closely with product managers and researchers to define AI requirements.
  • Mentor junior engineers and conduct technical code reviews.
  • Optimize models for low latency and high throughput in production environments.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of professional experience in machine learning engineering or applied research.
  • Expert proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Strong experience with Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Familiarity with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).

Required Skills

Machine Learning Deep Learning NLP Python PyTorch TensorFlow AWS GCP Docker Kubernetes

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