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Information Technology 🏒 Full Time ⭐️ Verified

Senior Machine Learning Engineer

FutureScale Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are a pioneering research lab defining the technological landscape of 2026. We are seeking a visionary Senior Machine Learning Engineer to lead our advanced AI initiatives.

In this role, you will be responsible for architecting scalable deep learning pipelines and deploying state-of-the-art models that solve complex real-world problems. You will work in a fast-paced environment pushing the boundaries of artificial general intelligence.

Responsibilities

  • Design, train, and deploy production-grade machine learning models using Python and PyTorch.
  • Optimize model inference performance to ensure low latency and high throughput.
  • Collaborate with data scientists and product managers to translate business requirements into technical solutions.
  • Implement MLOps best practices for continuous integration and deployment (CI/CD).
  • Monitor model health and performance in live environments, implementing automated retraining strategies.
  • Contribute to the research and implementation of novel neural architectures.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
  • 7+ years of professional experience in machine learning and deep learning.
  • Strong proficiency in Python, TensorFlow, PyTorch, or JAX.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of distributed systems and high-performance computing.
  • Excellent verbal and written communication skills.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS Kubernetes MLOps

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