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Information Technology 🏒 Full Time ⭐️ Verified

Senior Machine Learning Engineer (2024)

Nexus Core Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

We are a leading innovator in the tech space, dedicated to shaping the future of artificial intelligence. We are currently seeking 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 developing next-generation AI solutions that drive real-world impact. If you are passionate about scalable architectures and pushing the boundaries of what's possible in 2024, we want to hear from you.

Why Join Us?

  • Competitive salary and equity package.
  • Comprehensive health, dental, and vision insurance.
  • Flexible remote work options and generous PTO.
  • Access to cutting-edge hardware and cloud infrastructure.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and pipelines that power our core products.
  • Collaborate closely with data scientists, product managers, and software engineers to translate business requirements into technical solutions.
  • Optimize existing algorithms for performance, scalability, and accuracy to handle large-scale data sets.
  • Mentor junior engineers and contribute to code reviews, establishing best practices for the engineering team.
  • Stay current with the latest research in the ML/AI space and evaluate new technologies to integrate into our stack.
  • Ensure the reliability, security, and monitoring of deployed models in production environments.

Qualifications

  • Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning engineering or data science.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of MLOps, CI/CD, and cloud platforms (AWS, GCP, or Azure).
  • Experience with big data technologies such as Spark, Kafka, or Hadoop.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning MLOps Spark Data Science

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