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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

Apex Digital Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are on the lookout for a visionary Senior Machine Learning Engineer to join our elite engineering team at Apex Digital Systems. If you are passionate about pushing the boundaries of artificial intelligence and building scalable, production-ready systems, this is your opportunity to shape the future.


In this pivotal role, you will lead the development of cutting-edge AI solutions that drive business growth and enhance user experiences. You will work in a dynamic environment with high autonomy, collaborating with world-class data scientists and product managers to deliver groundbreaking technology.


Why join us?

  • Competitive salary and equity package.
  • Comprehensive health, dental, and vision insurance.
  • Flexible remote work options and generous PTO.
  • Continuous learning budget and tech conferences.

Key Responsibilities:

Responsibilities

  • Design, develop, and deploy scalable machine learning models and algorithms in production environments.
  • Collaborate with cross-functional teams to identify business problems and translate them into technical solutions.
  • Perform rigorous data analysis, feature engineering, and model evaluation to ensure high accuracy and performance.
  • Stay abreast of the latest research in Deep Learning, NLP, and Computer Vision to drive innovation.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous improvement.
  • Optimize existing ML pipelines for speed, efficiency, and cost-effectiveness.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field (PhD preferred).
  • 5+ years of professional experience in Machine Learning, Data Science, or a similar technical role.
  • Strong proficiency in programming languages such as Python, with deep knowledge of libraries like PyTorch, TensorFlow, or Scikit-learn.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of shipping complex ML projects to production.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning Docker Kubernetes SQL Scikit-learn Data Engineering

Ready to Take This Challenge?

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