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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Apex AI Solutions
Seattle
Estimated Salary
USD 165.000 – USD 240.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI Engineer to lead our next-generation AI initiatives. In this pivotal role, you will architect scalable machine learning systems and deploy cutting-edge Large Language Models (LLMs) to revolutionize our product suite. You will work in a high-performance environment focused on innovation, speed, and tangible impact.

Why Join Apex AI?

  • Competitive salary and equity package.
  • Work with state-of-the-art hardware and cloud infrastructure.
  • Collaborate with world-class researchers and engineers.
  • Flexible remote-first culture with occasional in-office collaboration.

Key Responsibilities:

  • Design, develop, and optimize end-to-end machine learning pipelines for production deployment.
  • Research and implement novel algorithms in NLP, Computer Vision, and Generative AI.
  • Collaborate with product teams to define AI-driven features and user experiences.
  • Mentor junior engineers and conduct rigorous code reviews.
  • Stay ahead of industry trends to ensure our technology stack remains future-proof.

Qualifications:

  • Ph.D. or Master’s degree in Computer Science, Statistics, or a related field.
  • 5+ years of professional experience building and deploying ML models.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems and cloud computing (AWS/GCP/Azure).
  • Excellent communication skills and a passion for solving complex problems.

Responsibilities

  • Design, develop, and optimize end-to-end machine learning pipelines for production deployment.
  • Research and implement novel algorithms in NLP, Computer Vision, and Generative AI.
  • Collaborate with product teams to define AI-driven features and user experiences.
  • Mentor junior engineers and conduct rigorous code reviews.
  • Stay ahead of industry trends to ensure our technology stack remains future-proof.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Statistics, or a related field.
  • 5+ years of professional experience building and deploying ML models.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems and cloud computing (AWS/GCP/Azure).
  • Excellent communication skills and a passion for solving complex problems.

Required Skills

Python Machine Learning Deep Learning NLP LLMs PyTorch TensorFlow AWS Docker Kubernetes System Design

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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