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Lead AI/ML Engineer - Shaping the Future

Apex Innovation Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Welcome to the vanguard of technological evolution. At Apex Innovation Labs, we are building the infrastructure for tomorrow's intelligence. We are looking for a Lead AI/ML Engineer to spearhead our research initiatives aimed at defining the AI landscape of 2026 and beyond.


In this role, you won't just be maintaining existing models; you will architect scalable, ethical, and groundbreaking AI systems that solve complex real-world problems. We offer a dynamic environment where innovation is not just encouraged—it is the standard.


Why Join Us?

  • Impactful Work: Directly influence the trajectory of Artificial General Intelligence (AGI) development.
  • Top-Tier Compensation: Competitive base salary plus significant equity packages.
  • Future-Ready: Work with the latest hardware and software stacks designed for the next decade.

Responsibilities

  • Architect and deploy large-scale machine learning models using Python, PyTorch, and TensorFlow.
  • Lead a team of data scientists and engineers in researching novel algorithms for NLP and Computer Vision.
  • Ensure AI systems are ethical, transparent, and aligned with global safety standards.
  • Optimize model inference for high-throughput, low-latency production environments.
  • Collaborate with product teams to translate technical requirements into AI product features.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related field (or equivalent practical experience).
  • 7+ years of experience in machine learning engineering, with at least 2 years in a leadership role.
  • Expert proficiency in Python, SQL, and deep learning frameworks (PyTorch/TensorFlow).
  • Strong understanding of distributed computing and cloud infrastructure (AWS/GCP/Azure).
  • Experience with MLOps tools (Kubeflow, MLflow) and data pipelines.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision AWS GCP MLOps Distributed Systems Agile

Ready to Take This Challenge?

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