ML Engineer, Maritime Sensing (Edge/Cloud)

The Arena; United States; On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Equity participation

Unlimited PTO

Parental leave

Paid holidays

Job summary

A leading advanced maritime technology company in the United States is looking for a Machine Learning Engineer. The role involves training and optimizing ML models for maritime sensing, with a focus on building cloud-based training pipelines and deploying models to both cloud and edge environments. Candidates should have over 3 years of experience, strong skills in deep learning with PyTorch, and a solid understanding of signal processing and cloud training. The position offers equity participation and unlimited PTO.

Qualifications

• 3+ years of ML engineering or applied ML experience.
• Hands-on experience with cloud training.
• Experience with acoustic data and signal processing.

Responsibilities

• Train and optimize deep learning models using PyTorch.
• Build cloud-based training pipelines.
• Deploy models to cloud and edge environments.

Skills

Machine learning

Deep learning

Cloud training (AWS/Azure/GCP)

Signal processing

GitHub Actions

Tools

PyTorch

Docker

Job description

A leading advanced maritime technology company in the United States is looking for a Machine Learning Engineer. The role involves training and optimizing ML models for maritime sensing, with a focus on building cloud-based training pipelines and deploying models to both cloud and edge environments. Candidates should have over 3 years of experience, strong skills in deep learning with PyTorch, and a solid understanding of signal processing and cloud training. The position offers equity participation and unlimited PTO.