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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

OmniVerse Tech
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the Future of Technology. Are you ready to lead the technological revolution of 2026? OmniVerse Tech is seeking a visionary Senior AI Engineer to architect the next generation of intelligent systems.

We are not just building software; we are shaping the future of human-computer interaction. In this pivotal role, you will be at the forefront of Generative AI, Large Language Models, and predictive analytics. If you are passionate about pushing the boundaries of what is possible in AI, we want to hear from you.

Why Join Us?

  • Competitive Compensation: $160,000 - $220,000 USD.
  • Equity Package: Significant stake in the company's growth and success.
  • Flexible Work: Hybrid model supporting major tech hubs and remote work.
  • Top-Tier Tools: Access to the latest GPUs, cloud infrastructure, and research libraries.

Responsibilities

  • Design and implement scalable, robust machine learning pipelines for production environments.
  • Lead high-impact research initiatives in Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning.
  • Collaborate closely with product managers and engineers to integrate AI solutions into core business applications.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Optimize model latency, throughput, and resource efficiency for real-time, high-volume applications.
  • Stay abreast of the latest advancements in AI research and apply them to solve complex business problems.

Qualifications

  • PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Data Science.
  • Proficiency in Python, PyTorch, or TensorFlow with a strong grasp of deep learning frameworks.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of deploying ML models into production environments (MLOps experience is a plus).

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS Docker GCP Kubernetes MLOps San Francisco

Ready to Take This Challenge?

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

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