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Senior AI Engineer - Project 2026

Apex Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Apex Innovations is pioneering the future of autonomous intelligence with our flagship initiative, Project 2026. We are seeking a highly skilled Senior AI Engineer to join our elite engineering team and architect the neural architectures that will define the next decade of machine learning.

In this role, you will be responsible for designing, training, and deploying scalable deep learning models that power our next-generation decision-making platforms. You will work in a fast-paced, innovative environment, collaborating with world-class researchers and product managers to turn ambitious visions into reality.

Why join us?
We offer competitive compensation, equity packages, and the opportunity to work on cutting-edge technology that impacts millions.

Responsibilities

  • Design and implement advanced machine learning algorithms and neural network architectures for Project 2026.
  • Optimize model performance for low latency and high throughput in production environments.
  • Collaborate with data engineers to build robust data pipelines and feature stores.
  • Mentor junior engineers and provide technical guidance on best practices in AI/ML.
  • Conduct rigorous testing, validation, and monitoring of deployed models to ensure reliability.
  • Stay current with the latest research and industry trends to continuously improve our technology stack.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with a strong focus on Deep Learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of distributed computing and cloud infrastructure (AWS, GCP, or Azure).
  • Experience with MLOps tools and deployment frameworks (Docker, Kubernetes, MLflow).
  • Excellent problem-solving skills and the ability to thrive in a dynamic, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Cloud Computing AWS MLOps Docker Kubernetes

Ready to Take This Challenge?

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