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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 (San Francisco)

2026 Labs
San Francisco, CA
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join 2026 Labs at the forefront of technological innovation! We're pioneering AI-driven solutions that will redefine industries by 2026. As a Senior AI/ML Engineer, you'll architect and deploy cutting-edge machine learning systems that solve complex real-world problems. Our collaborative, fast-paced environment empowers you to transform raw data into actionable insights while working alongside world-class researchers and engineers. Enjoy competitive compensation, flexible work arrangements, and the opportunity to shape the future of artificial intelligence.

Responsibilities

  • Design and implement scalable ML pipelines for predictive analytics and automation
  • Lead end-to-end development of AI solutions from prototype to production
  • Collaborate with cross-functional teams to define technical requirements and project milestones
  • Optimize model performance through advanced algorithm development and hyperparameter tuning
  • Ensure system reliability through rigorous testing, monitoring, and documentation
  • Mentor junior engineers and promote best practices in ML engineering
  • Stay current with emerging AI research and integrate relevant innovations into our ecosystem

Qualifications

  • Master's or PhD in Computer Science, AI, ML, or related field
  • 5+ years of experience developing production-grade ML systems
  • Expertise in Python, TensorFlow/PyTorch, and cloud ML platforms (AWS/GCP)
  • Strong foundation in statistical modeling, neural networks, and NLP/CV
  • Proven track record of deploying ML solutions at scale
  • Experience with MLOps tools (Kubeflow, MLflow, Airflow)
  • Excellent problem-solving skills and ability to communicate complex concepts
  • Portfolio showcasing impactful ML projects and publications

Required Skills

Python TensorFlow PyTorch AWS GCP MLOps NLP Computer Vision Kubeflow MLflow Airflow

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