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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. At Nexus Future Labs, we are at the forefront of the artificial intelligence revolution, building scalable, robust, and ethically sound models that redefine industry standards. This is a unique opportunity to lead high-impact projects and shape the future of intelligent systems.

Why Join Us?

  • Work with cutting-edge technologies in a fast-paced, innovative environment.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.

Responsibilities

  • Model Development: Design, train, and deploy advanced machine learning algorithms and deep learning models.
  • Infrastructure: Build and optimize data pipelines and MLOps infrastructure for high-scale production environments.
  • Cross-Functional Collaboration: Partner with data scientists, product managers, and engineers to translate business requirements into technical solutions.
  • Performance Optimization: Continuously monitor model performance, conduct A/B testing, and implement improvements to accuracy and efficiency.
  • Research: Stay abreast of the latest research in AI/ML and implement state-of-the-art techniques.

Qualifications

  • Education: Master’s degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred).
  • Experience: 5+ years of professional experience in machine learning and software engineering.
  • Programming: Strong proficiency in Python (PyTorch, TensorFlow, Scikit-learn) and SQL.
  • Cloud & DevOps: Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.

Required Skills

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

Ready to Take This Challenge?

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