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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

Apex Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to shape the future of technology? Apex Dynamics is seeking a visionary Senior Machine Learning Engineer to lead our next generation of AI initiatives. Join a team of elite engineers building scalable, robust machine learning systems that impact millions of users globally.

In this role, you will bridge the gap between theoretical research and production-grade deployment, pushing the boundaries of what's possible in deep learning and NLP.

Responsibilities

  • Design and implement scalable machine learning pipelines using Python and modern frameworks.
  • Collaborate with cross-functional teams to integrate AI models into core product features.
  • Optimize model inference performance for low-latency applications.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Research and prototype novel algorithms to stay ahead of industry trends.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of experience in building production-level machine learning systems.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems and cloud architecture (AWS/GCP).
  • Experience with MLOps tools such as Docker, Kubernetes, and MLflow.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning MLOps Docker Kubernetes

Ready to Take This Challenge?

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