Machine Learning Performance Engineer

Janestreet · 📍 New York, New York, United States · Diposting 2026-10-07
FULL_TIME⭐ TERVERIFIKASI
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Janestreet is seeking a Machine Learning Performance Engineer to join our dynamic team. In this role, you will be responsible for optimizing and improving the performance of our machine learning models, ensuring they are scalable, efficient, and meet our business objectives.

We are looking for a highly skilled and experienced professional who can leverage their expertise in machine learning and performance engineering to drive innovation and deliver high-quality results.

If you are passionate about machine learning and performance engineering, and you are ready to take on this exciting challenge, we would love to hear from you.

📋 Tanggung Jawab Pekerjaan

Tanggung Jawab:

  • Develop and implement machine learning models that are scalable, efficient, and meet business objectives.
  • Optimize the performance of existing machine learning models, identifying bottlenecks and implementing improvements.
  • Collaborate with data scientists, software engineers, and other stakeholders to ensure the successful deployment of machine learning models.
  • Monitor the performance of machine learning models in production, identifying and resolving issues as they arise.
  • Stay up-to-date with the latest trends and developments in machine learning and performance engineering.
  • Mentor and train junior team members, helping them to develop their skills and knowledge.
  • Participate in code reviews and provide constructive feedback to ensure the quality and maintainability of the codebase.
  • Contribute to the development of best practices and guidelines for machine learning and performance engineering.

    • 🎓 Kualifikasi & Syarat

    Kualifikasi:

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 3-5 years of experience in machine learning and performance engineering.
  • Strong programming skills in Python, C++, or Java.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with performance engineering tools and techniques, such as profiling, benchmarking, and optimization.
  • Experience with cloud platforms and services, such as AWS, GCP, or Azure.
  • Strong problem-solving skills and the ability to work independently and as part of a team.
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.

    • 🛠️ Keahlian

    PythonC++JavaTensorFlowPyTorchScikit-learnAWSGCPAzureProfilingBenchmarkingOptimizationMachine LearningPerformance Engineering
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