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Senior AI/ML Engineer - San Francisco, CA (2025)

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

Job Description

Welcome to Apex Innovations, where we are architecting the future of intelligent systems. We are currently seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. As a leader in the tech industry, we are preparing for the next generation of AI breakthroughs, and we need your expertise to drive innovation.

In this role, you will be at the forefront of developing scalable machine learning models that power our core products. You will collaborate with cross-functional teams of data scientists, engineers, and product managers to deliver cutting-edge solutions. If you are passionate about pushing the boundaries of what is possible with Artificial Intelligence and want to work in a dynamic, high-growth environment, we want to hear from you.

Why Join Us?

  • Work with state-of-the-art technology and frameworks.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a hub in the heart of San Francisco.
  • Continuous learning and professional development opportunities.

Responsibilities

  • Model Development: Design, train, and deploy advanced machine learning and deep learning models, including Large Language Models (LLMs) and computer vision systems.
  • System Architecture: Lead the technical design and architecture of scalable ML pipelines and infrastructure on cloud platforms (AWS/GCP).
  • Optimization: Fine-tune existing models for improved performance, accuracy, and inference speed.
  • Research: Stay abreast of the latest research in AI/ML and experiment with novel approaches to solve complex business problems.
  • Collaboration: Partner with product managers and engineers to integrate AI solutions seamlessly into production environments.
  • Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related field (or equivalent practical experience).
  • Experience: 5+ years of professional experience in machine learning engineering, data science, or a related role.
  • Programming: Proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Mathematics: Strong foundation in statistics, linear algebra, and calculus.
  • Cloud Skills: Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS GCP Docker Kubernetes SQL Agile Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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