Machine Learning Research Engineer

Storm4; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

A leading organization at the intersection of AI and climate innovation is seeking a Machine Learning Research Engineer. This role involves designing machine learning models, developing data pipelines, and improving environmental predictions. Ideal candidates will have a strong background in machine learning and a passion for solving complex technical challenges.

Qualifications

• Experience in building and optimizing high-volume data pipelines.
• Hands-on experience training ML models and interpreting results.

Responsibilities

• Design and implement innovative machine learning models.
• Develop large-scale data pipelines for multimodal datasets.
• Run and analyze complex experiments to improve model performance.

Skills

Machine Learning

Computer Vision

Sensor Fusion

Language Models

Physics-informed Neural Networks

Data Pipelines

Job description

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This range is provided by Storm4. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $200,000.00/yr

Direct message the job poster from Storm4

We're partnering with a cutting-edge organization at the intersection of artificial intelligence and climate innovation, aiming to create large-scale physics foundation models to predict and shape weather conditions. As a Machine Learning Research Engineer, you'll play a critical role in building scalable systems that enable breakthrough environmental predictions and modeling.

Key Responsibilities:

1. Design and implement innovative machine learning models and training algorithms
2. Develop large-scale data pipelines and infrastructure to handle petabyte-scale, multimodal datasets
3. Run and analyze complex experiments, including ablations, to improve model performance
4. Rapidly prototype and iterate on ideas in a fast-moving R&D environment
5. Continuously integrate new research and approaches into production-grade systems

Required Qualifications:

1. Strong understanding of core machine learning principles, with expertise in areas like Computer Vision, Sensor Fusion, Language Models, or Physics-informed Neural Networks
2. Hands-on experience training ML models and interpreting results through rigorous experimentation
3. Experience in building and optimizing high-volume data pipelines
4. Background or industry experience relevant to the role
5. Comfortable with distributed training frameworks and cloud-based infrastructure
6. Curious, fast-learning, and driven to solve tough technical challenges

Desired Skills/Experience:

• Experience or interest in meteorology, computational fluid dynamics, or numerical simulation techniques

Think you're the right fit? Click 'Easy Apply' or contact us directly to learn more.

Storm4 specializes in GreenTech recruitment, serving clients in North America. Explore more roles at www.storm4.com

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Analyst

Industries

• Climate Data and Analytics and Data Infrastructure and Analytics

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