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Senior AI/ML Engineer - Future Tech

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

Job Description

We are looking for a visionary Senior AI/ML Engineer to join Apex Future Systems. In a world moving towards 2026 and beyond, we are building the next generation of autonomous systems and generative intelligence. If you have a passion for pushing the boundaries of what is possible with neural networks and large language models, we want to meet you.

You will be part of a high-performance team focused on deploying scalable AI solutions that impact millions of users. You will bridge the gap between theoretical research and practical engineering, ensuring our models are robust, efficient, and ethically sound.

Why Join Us?

  • Work on cutting-edge technology that defines the future.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with top-tier benefits.
  • Continuous learning and research opportunities.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and algorithms.
  • Collaborate with data scientists and software engineers to integrate AI features into production applications.
  • Conduct research to identify new AI architectures and methodologies for improved performance.
  • Optimize data pipelines and model inference for high throughput and low latency.
  • Participate in code reviews, technical architecture discussions, and agile ceremonies.
  • Mentor junior engineers and provide technical guidance on best practices.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in AI/ML engineering, data science, or machine learning research.
  • Strong proficiency in Python and deep understanding of libraries such as TensorFlow, PyTorch, or JAX.
  • Experience with Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning NLP LLMs TensorFlow PyTorch AWS Docker Kubernetes Agile Data Pipelines

Ready to Take This Challenge?

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