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Senior AI/ML Engineer (2026 Vision)

Orbital Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence

Orbital Dynamics is at the forefront of the next technological revolution. We are seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. In this role, you will architect the machine learning infrastructure that will define the industry standards for 2026 and beyond.

We are not just building models; we are building the brain of a new era. If you are passionate about Generative AI, Large Language Models (LLMs), and scalable deep learning systems, we want to hear from you.

Responsibilities

  • Design and deploy cutting-edge machine learning models, focusing on LLMs and Generative AI architectures.
  • Optimize neural network inference and training pipelines for high-performance edge computing environments.
  • Collaborate with cross-functional product teams to translate complex AI capabilities into user-centric features.
  • Establish MLOps best practices, including automated CI/CD for model deployment and monitoring.
  • Research and implement novel algorithms to solve complex, ambiguous business problems.
  • Conduct code reviews and mentor junior data scientists and engineers.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in machine learning engineering or applied research.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of fine-tuning and deploying large-scale transformer models.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Excellent communication skills and the ability to articulate technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps LLMs Generative AI Docker Kubernetes AWS Machine Learning Engineering

Ready to Take This Challenge?

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