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Senior AI Engineer - Project 2026

Apex Innovation Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are at the forefront of technological evolution, and we are looking for a visionary Senior AI Engineer to join our team and lead Project 2026. This is a unique opportunity to architect the next generation of generative AI solutions that will define the industry standard for the mid-2020s. If you are passionate about pushing the boundaries of neural networks and building systems that scale, we want to hear from you.


Why Join Us?

  • Work with cutting-edge technology in a state-of-the-art facility.
  • Competitive compensation package including equity.
  • Flexible remote-first policy with premium office amenities.
  • Professional development and learning budget.

The Role

You will be responsible for the end-to-end development of our core AI models. You will collaborate with cross-functional teams of data scientists, researchers, and product managers to deliver high-impact solutions.

Responsibilities

  • Architect and deploy: Design scalable machine learning pipelines and infrastructure using Python, PyTorch, and TensorFlow.
  • Model Optimization: Enhance model accuracy and reduce inference latency for real-time applications.
  • R&D Leadership: Conduct cutting-edge research in Large Language Models (LLMs) and Computer Vision.
  • Code Quality: Establish coding standards and best practices for the AI engineering team.
  • Collaboration: Partner with product managers to translate complex technical requirements into actionable roadmaps.
  • Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous improvement.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of professional experience in machine learning engineering.
  • Technical Skills: Proficiency in Python, C++, SQL, and cloud platforms (AWS/GCP).
  • Frameworks: Deep experience with PyTorch, Hugging Face, or similar ML frameworks.
  • Problem Solving: Proven track record of solving complex data engineering challenges.
  • Communication: Excellent verbal and written communication skills for technical documentation.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS GCP Docker Kubernetes NLP SQL

Ready to Take This Challenge?

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