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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Engineer: Project 2026

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Lead AI Engineer to spearhead Project 2026, our next-generation autonomous systems initiative. You will be at the forefront of designing and deploying scalable machine learning models that will define the future of intelligent automation. If you are passionate about pushing the boundaries of artificial intelligence and want to work in an environment that fosters radical innovation, we want to hear from you.

Why join us?

  • Work on cutting-edge AI technologies with a high-impact team.
  • Competitive salary and equity package.
  • Flexible remote-first culture with premium office amenities.
  • Continuous learning and development budget.

Responsibilities

  • Architect and implement state-of-the-art deep learning models for the Project 2026 platform.
  • Lead a team of data scientists and engineers in research, development, and deployment cycles.
  • Optimize algorithms for low-latency, high-throughput performance in production environments.
  • Collaborate with cross-functional stakeholders to translate business requirements into technical solutions.
  • Mentor junior engineers and establish best practices for MLOps and model governance.
  • Stay abreast of the latest advancements in the AI niche to drive innovation.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field (4+ years of industry experience equivalent).
  • Proven experience leading technical teams and managing complex projects.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Demonstrated ability to deploy models to cloud environments (AWS, GCP, or Azure).
  • Exceptional problem-solving skills and a track record of shipping production-grade software.

Required Skills

Python Machine Learning PyTorch TensorFlow AI Research NLP Cloud Computing MLOps Leadership

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