Climate ML Engineer — Productionize Models (Remote)

MENFEM; United States; On-site; USD 170,000 - 220,000; Full time

Job summary

MENFEM is seeking a Machine Learning Engineer to work with climate scientists in the United States. This role involves productionizing research ML models, building training pipelines, and optimizing model inference for real-time predictions.

The ideal candidate has over 3 years of ML engineering experience, proficiency in PyTorch or JAX, and strong programming skills in Python. This position offers a salary range of $170,000 to $220,000, fully remote.

Qualifications

• 3+ years of ML engineering experience in production.
• Experience with PyTorch or JAX.
• Strong Python and systems programming skills.
• Published research or significant open-source contributions preferred.

Responsibilities

• Productionize research ML models.
• Build training and evaluation pipelines.
• Optimize model inference for real-time predictions.
• Collaborate with climate science team.
• Monitor model performance and drift.

Job description

MENFEM is seeking a Machine Learning Engineer to work with climate scientists in the United States. This role involves productionizing research ML models, building training pipelines, and optimizing model inference for real-time predictions.

The ideal candidate has over 3 years of ML engineering experience, proficiency in PyTorch or JAX, and strong programming skills in Python. This position offers a salary range of $170,000 to $220,000, fully remote.