Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior ML Engineer - San Francisco, CA

Nexus Future Tech
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

We are seeking a visionary Senior Machine Learning Engineer to join our elite team in San Francisco. As we prepare for the next generation of AI integration, your expertise will be pivotal in building scalable, robust, and ethical machine learning systems. If you are passionate about solving complex problems and shaping the technological landscape of 2026 and beyond, this is your opportunity.

Why Join Us?

  • Work on state-of-the-art AI models.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture.

Responsibilities

  • Design, develop, and deploy end-to-end machine learning models and pipelines.
  • Collaborate with data scientists and product managers to translate business requirements into technical solutions.
  • Mentor junior engineers and conduct code reviews to ensure high standards of quality and performance.
  • Optimize existing models for speed, scalability, and accuracy.
  • Stay abreast of the latest advancements in deep learning and AI research.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning engineering.
  • Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of MLOps practices and data engineering principles.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS Docker Kubernetes MLOps SQL Data Science

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All