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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer - AI & Data

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to shape the future of Artificial Intelligence? Apex Innovations is seeking a visionary Senior Machine Learning Engineer to join our elite engineering team in San Francisco. As we scale our generative AI platform, we need a technical leader who can bridge the gap between complex research and production-grade systems.

In this role, you won't just be writing code; you'll be architecting the brain of our next-generation products. You will work directly with our CTO and product leads to deploy models that impact millions of users daily. If you are passionate about pushing the boundaries of NLP and Computer Vision, this is your opportunity to lead the charge.

Why Join Us?

  • Competitive compensation and equity package.
  • Top-tier healthcare and wellness benefits.
  • Flexible remote and hybrid work options.
  • Access to the latest hardware and cloud infrastructure.

Responsibilities

  • Design, train, and deploy scalable machine learning models and deep learning architectures using Python and PyTorch.
  • Optimize existing inference pipelines to reduce latency and improve cost-efficiency in cloud environments (AWS/GCP).
  • Collaborate with data scientists to transform research prototypes into robust, production-ready APIs.
  • Implement MLOps best practices, including CI/CD pipelines, model versioning, and automated monitoring.
  • Conduct rigorous A/B testing and model evaluation to ensure accuracy and bias mitigation.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Statistics, or a related technical field (PhD preferred).
  • Minimum of 5+ years of professional experience in Machine Learning, AI, or Data Science.
  • Strong proficiency in Python and deep frameworks such as TensorFlow or PyTorch.
  • Extensive experience with SQL and distributed data processing tools like Spark or Hadoop.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes).
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow AWS Docker Kubernetes SQL Spark MLOps NLP

Ready to Take This Challenge?

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