AI Researcher

Coastal Carbon; San Francisco (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Coastal Carbon is looking for an AI Researcher to join their San Francisco team or work remotely. The role involves deep research and design in machine learning, including writing and publishing scientific papers. Candidates should have a PhD in computer science or engineering, with 5+ years of experience in machine learning research, especially in generative AI. Proficiency in Python and experience with deep learning models is preferred. This position offers flexibility in start dates and locations.

Qualifications

• 5+ years of experience in machine learning research.
• Proven track record of projects in generative AI.
• Strong understanding of training large diffusion or transformer models.

Responsibilities

• Research and design machine learning solutions for large datasets.
• Develop proof-of-concept models and enhance existing techniques.
• Prepare and write technical papers for publication.

Skills

Machine learning research

Deep learning

Generative AI

Scripting languages (Python, Bash, PowerShell)

Cloud platforms (AWS, GCP, Azure)

Education

PhD in computer science, engineering, or related field

Tools

Python

PyTorch

Ray Trainer

Anyscale framework

Job description

AI Researcher

Location: SF or Waterloo, with ability to travel

Start Date: Flexible, ideally Q3 2025

Responsibilities

• Research & Design:
  • Deep understanding of current machine learning research.
  • Proven track record of generating new ideas or enhancing existing ones in machine learning, evidenced by first-author publications or projects.
  • Contribute to research that uncovers the semantics of large datasets, with a focus on earth observation and remote sensing data.
  • Ability to independently manage and execute a research agenda, selecting impactful problems and conducting long-term projects autonomously.
• Implementation:
  • Developing high‑level proof‑of‑concept (POC) models.
  • Experimenting with new state‑of‑the‑art techniques to surpass existing models.
  • Plan and execute innovative research and development to push the boundaries of current technology.
• Writing and Publication:
  • Assisting in the preparation and writing of technical and scientific papers for publication.
  • Demonstrated strong scientific communication/presentation skills.

Requirements

• PhD degree in computer science, engineering, a related field, or equivalent experience.
• Proven track record of successful machine learning research projects.
• 5+ years of experience.
• Strong scientific understanding of the field of generative AI, with preference for experience training large diffusion or transformer models, especially on video or time series data.
• Preference for San Francisco or Waterloo, but we’re willing to consider remote for great candidates.

Preferred Qualifications

• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Demonstrated experience with deep learning and transformer models.
• Familiarity with designing, pre‑training, and fine‑tuning large models.
• Proficiency with Python, Ray Trainer, PyTorch, and Anyscale framework.
• Strong technical engineering skills.
• Previous experience in creating high-performance implementations of deep learning algorithms.
• Past training of video or time‑series models.
• Team player, willing to undertake various tasks to support the team.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.