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Senior AI/ML Engineer (Role 2026)

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

Job Description

Are you ready to engineer the future of intelligence?

Apex Dynamics is pioneering the next frontier of artificial intelligence. We are seeking a visionary Senior AI/ML Engineer (Role 2026) to join our elite team in San Francisco. In this pivotal role, you will not just deploy models; you will architect the neural architectures that will define the industry standard for the coming decade.

We offer a competitive compensation package, equity packages, and a remote-first culture that prioritizes innovation and impact.

Responsibilities

  • Architect & Deploy: Design, train, and deploy scalable machine learning models and deep learning systems that power our core products.
  • Optimization: Continuously optimize model performance, latency, and accuracy to handle millions of requests efficiently.
  • R&D Leadership: Lead research initiatives into cutting-edge areas such as Large Language Models (LLMs), Computer Vision, and Reinforcement Learning.
  • Collaboration: Work closely with product managers, data scientists, and software engineers to translate business requirements into technical solutions.
  • Mentorship: Mentor junior engineers and conduct code reviews to maintain the highest technical standards within the engineering department.
  • Data Strategy: Collaborate with data engineering teams to ensure the availability, quality, and integrity of training datasets.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
  • Experience: 5+ years of professional experience in machine learning and deep learning engineering.
  • Tools: Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Infrastructure: Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Demonstrated ability to troubleshoot complex system issues and innovate under pressure.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision AWS Docker Kubernetes SQL

Ready to Take This Challenge?

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