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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

Apex Innovation Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Are you ready to engineer the future? Apex Innovation Labs is seeking a visionary Senior AI & Machine Learning Engineer to join our elite team in San Francisco. In this role, you won't just be building models; you'll be architecting the intelligent systems that will define the landscape of 2026 and beyond. We are looking for a thought leader who thrives on solving complex problems and pushing the boundaries of what's possible.

Why Join Us?

  • Competitive salary and equity package.
  • Flexible remote-first culture with HQ in SF.
  • Access to state-of-the-art compute clusters and proprietary datasets.
  • Opportunity to shape the ethical standards of next-gen AI.

Responsibilities

  • Lead the design and deployment of scalable machine learning infrastructure and pipelines.
  • Collaborate with product and engineering teams to define AI-driven product requirements.
  • Optimize existing algorithms for high performance and low latency in production environments.
  • Research and implement state-of-the-art techniques in NLP, Computer Vision, or Reinforcement Learning.
  • Conduct rigorous code reviews and mentor junior engineers to foster a culture of excellence.
  • Monitor model performance and troubleshoot complex issues in real-time systems.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI engineering.
  • Strong proficiency in Python, TensorFlow, PyTorch, or JAX.
  • Deep understanding of distributed computing, cloud platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Proven track record of delivering high-impact AI products from concept to deployment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Computer Vision AWS Docker Kubernetes Data Science AI Engineering

Ready to Take This Challenge?

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

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