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Information Technology 🏒 Full Time ⭐️ Verified

Senior Machine Learning Engineer

Apex Systems
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary engineer to join our elite data science team at Apex Systems. You will be responsible for designing, building, and deploying state-of-the-art machine learning solutions that power our core products. If you are passionate about pushing the boundaries of AI and thrive in a fast-paced, innovative environment, we want to hear from you.

Our team is focused on leveraging cutting-edge technologies to solve complex business problems, and we need a leader who can drive technical excellence and mentor the next generation of engineers.

Responsibilities

  • Design and implement scalable machine learning models and algorithms.
  • Collaborate with product managers and engineers to translate business requirements into technical solutions.
  • Conduct end-to-end data analysis, including data extraction, cleaning, and feature engineering.
  • Mentor junior engineers and conduct code reviews to ensure best practices.
  • Deploy models to production environments using CI/CD pipelines.
  • Stay abreast of the latest research in deep learning and artificial intelligence.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Statistics, or a related field.
  • 5+ years of professional experience in machine learning engineering.
  • Strong proficiency in Python, TensorFlow, PyTorch, or Scikit-learn.
  • Experience with distributed computing frameworks (Spark, Hadoop) and big data technologies.
  • Deep understanding of statistical analysis and data mining techniques.
  • Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Spark SQL AWS Agile Data Engineering

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