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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Apex Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the future of intelligent systems? Apex Innovations is seeking a visionary Senior AI/ML Engineer to join our elite research division. In this pivotal role, you will design and deploy cutting-edge machine learning models that power our next-generation products.

We are looking for a problem solver who thrives in a fast-paced environment and is passionate about pushing the boundaries of Generative AI and Large Language Models (LLMs).

Why Join Us?
β€’ Competitive salary and equity package.
β€’ Access to the latest hardware and cloud resources.
β€’ Work on projects that impact millions of users globally.
β€’ Flexible remote-first culture with a collaborative office environment.

Responsibilities

  • Design, train, and optimize complex machine learning models for production scalability and low-latency inference.
  • Lead the end-to-end lifecycle of AI development, from data engineering and model training to deployment and monitoring.
  • Collaborate with cross-functional teams of data scientists, software engineers, and product managers to integrate AI solutions seamlessly.
  • Research and implement state-of-the-art algorithms to improve model accuracy, efficiency, and robustness.
  • Ensure ethical AI practices and actively work to mitigate bias in model outputs and datasets.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI engineering.
  • Expert proficiency in Python, with strong experience in frameworks like TensorFlow, PyTorch, or JAX.
  • Strong understanding of Natural Language Processing (NLP), LLMs, and Transformer architectures.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow) and CI/CD pipelines.
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps Docker Kubernetes SQL Cloud Computing Data Science

Ready to Take This Challenge?

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