Job Details

AI Engineer (Ref: 185592)

  2025-06-29     Forsyth Barnes     San Francisco,CA  
Description:

This range is provided by Forsyth Barnes. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$160,000.00/yr - $180,000.00/yr

About Us:

We are an ambitious, fast-moving company at the intersection of artificial intelligence and sustainability. Our mission is to solve complex real-world problems using cutting-edge AI solutions—with a strong focus on impact, efficiency, and innovation. If you're excited about working in a dynamic start-up environment and contributing to a more sustainable future, we'd love to hear from you.

The Role:

We're looking for a hands-on AI Engineer to join our growing team. This is a unique opportunity to shape core technology from the ground up. You'll be responsible for designing, developing, and deploying AI models that power our next-generation solutions.

Key Responsibilities:

  • Design and implement machine learning and deep learning models for real-world applications.
  • Collaborate closely with product and engineering teams to bring AI features into production.
  • Rapidly prototype and iterate on new ideas.
  • Analyze large datasets and derive actionable insights.
  • Contribute to architecture decisions and help set technical direction.

What We're Looking For:

  • Solid experience as an AI/ML Engineer, preferably in a fast-paced start-up environment.
  • Strong skills in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with model deployment and performance optimization.
  • Strong problem-solving ability and a practical mindset.
  • Experience with cloud platforms (AWS, GCP, or Azure).

Nice to Have:

  • Background or demonstrated interest in renewable energy, climate tech, or sustainability.
  • Experience with time-series forecasting, computer vision, or reinforcement learning.
  • Exposure to data engineering or MLOps tools.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Services for Renewable Energy and Energy Technology

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