Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Develops and deploys machine learning models using Gecko’s unique dataset to solve critical business problems, focusing on classifying signals, taking accurate measurements, and identifying damage mechanisms. Focus on ultrasonic digital signal processing for non-destructive testing and helping to make digital twins as realistic as possible.

Location: On-site in Boston or New York City

Salary: $150K – $220K

Company

hirify.global is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure.

What you will do

• Develop novel ML models (supervised and unsupervised) to solve important business problems, becoming an expert in ultrasonic digital signal processing for non-destructive testing.
• Roll out models to production by developing integrations with mission-critical analytical tools and building the necessary ML Ops infrastructure to support iteration.
• Identify new problems that can be tackled with AI/ML, such as defect detection and automated repair planning, and cultivate training sets to start solving those problems.
• Help make digital twins as realistic and true to real-world physics as possible.

Requirements

• 5+ years of engineering experience, with at least 3+ years in a dedicated machine learning role.
• Practical knowledge of machine learning algorithms and frameworks suitable for time-series analysis and anomaly detection in signal data.
• Ability to read and implement ML papers.
• Knowledge of at least one machine learning framework (i.e., PyTorch) and has seen at least one ML model in production.
• Familiarity with MLOps concepts.
• Bachelor’s degree in Computer Science or a closely related field (or equivalent experience).

Nice to have

• Experience with PyTorch.
• Experience with MLOps tools such as MLFlow.
• Knowledge of signal processing techniques.
• Machine Learning work in ultrasonic signals, audio signals, or another unconventional domain.

Culture & Benefits

• Competitive compensation packages, company equity, and 401(k) matching.
• Gender-neutral parental leave, full medical, dental, and vision insurance, and mental health and wellness support.
• Ongoing professional development and family planning assistance.
• Flexible paid time off.
• Values collaboration, innovation, and partnership.
• Office-first culture with flexibility.