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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - Machine Learning & Research

NovaAI Labs
San Francisco
Salary Estimate
USD 180.000 – USD 240.000
Posting Time
7 Mei 2026
Deadline
7 Mei 2027

Job description

Join NovaAI Labs, a premier player in AI research and applied ML. We are seeking a Senior AI Engineer to design, implement, and scale machine learning systems that power our products and client solutions. This role combines hands-on model development with system-level execution and collaboration with cross-functional teams.

What you will do includes building end-to-end ML pipelines, researching novel architectures, prioritizing experiments, and ensuring production readiness with robust monitoring and observability.

We value ownership, pragmatic problem solving, and a bias for action. If you are excited by building impactful AI and leading technical initiatives in a fast-paced environment, we want to hear from you.

Responsibility

  • Lead the design and implementation of scalable ML models for production systems
  • Collaborate with product and data teams to define problem statements and success metrics
  • Experiment tracking, model evaluation, and selection using robust statistical methods
  • Develop data pipelines, feature engineering, and data quality controls
  • Implement MLOps practices including CI/CD for ML, model deployment, monitoring, and rollback strategies
  • Mentor junior engineers and share knowledge through code reviews and technical discussions
  • Publish results and collaborate on internal and external research initiatives
  • Ensure compliance with security, privacy, and governance standards

Qualification

  • MS or PhD in Computer Science, Mathematics, Statistics, or related field
  • 5+ years of hands-on ML/NLP experience in production environments
  • Proficiency in Python and ML libraries such as PyTorch or TensorFlow
  • Strong background in ML system design, data pipelines, feature stores
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization
  • Experience with MLOps, model monitoring, A/B testing, and CI/CD
  • Strong communication skills and ability to collaborate across teams
  • Publication record or patents a plus

Required Skills

Python PyTorch TensorFlow ML NLP Deep Learning ML Ops data pipelines cloud Kubernetes SQL Git

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