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Information Technology 🏒 Full Time ⭐️ Verified

AI & Machine Learning Engineer - 2026 Vision

Apex Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Apex Dynamics is seeking a visionary AI & Machine Learning Engineer to lead our next-generation research initiatives. In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable production systems, driving the evolution of our core AI platforms.

We are looking for a self-starter who thrives in ambiguity and possesses the technical prowess to solve complex problems. If you are passionate about the future of Artificial General Intelligence (AGI) and want to work on projects that redefine human-computer interaction, we want to hear from you.

Why join us?

  • Work on cutting-edge technology that will define the 2026 era.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with access to state-of-the-art hardware.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and algorithms tailored for high-volume production environments.
  • Conduct original research to advance the state-of-the-art in Natural Language Processing (NLP) and Computer Vision.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into market-ready features.
  • Mentor junior engineers and researchers, fostering a culture of continuous learning and innovation.
  • Optimize existing models for latency, throughput, and resource efficiency.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in machine learning or AI engineering.
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of deep learning architectures, neural networks, and statistical methods.
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, CVPR) or open-source contributions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS GCP Data Science

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