Traditional ML Engineer - ThirdAI Automation

Company Overview

ThirdAI Automation is an industrial AI company that develops advanced artificial intelligence solutions for manufacturing and industrial environments. The company focuses on using AI agents to help engineers identify root causes of operational issues, speed up troubleshooting, and surface key insights to reduce downtime and improve productivity. ThirdAI leverages proprietary frameworks for root cause analysis (RCA) and knowledge mining, selling its industrial AI platforms to businesses in the manufacturing, utilities, and automotive sectors.

Job Summary

The Traditional Machine Learning Engineer will be responsible for developing advanced machine learning algorithms specifically in time-series domains, collaborating with fellow scientists and engineering teams, and contributing to patents and technical publications. This role is essential in driving innovations within the field of Industrial AI.

Responsibilities

• Develop advanced Machine Learning algorithms in time-series domains.
• Collaborate with other applied scientists on algorithm development.
• Work closely with engineering teams on ML productization.
• Partner with Product Managers on identifying use cases and conducting benchmarking.
• Lead projects independently in dynamic environments.
• Contribute to patents and technical publications.
• Develop large language model (LLM) based pipelines.
• Train and optimize models through feature engineering, model training, evaluation, and deployment focusing on recommendation and forecasting.

Qualifications

• Education: BS/MS/Ph.D. in Artificial Intelligence (AI), Machine Learning (ML), Computer Science (CS), Electrical Engineering (EE), or related field.
• Experience: 4-8 years of relevant experience.
• 1-3 years of ML research experience (varies by degree).
• Proficiency in programming languages such as Python, R, C++, or Java.
• Expertise in LLMs and Retrieval-Augmented Generation (RAG) architecture.
• Experience with large-scale machine learning systems.
• Strong collaboration and communication skills.
• A passion for industrial AI innovation.

Preferred Skills

• Experience in feature engineering, model training, evaluation, and deployment.
• Familiarity with recommendation systems and forecasting techniques.

Experience

A minimum of 4-8 years of industry-related experience is required.

Environment

Details about the typical work setting, location (remote, in-office, hybrid), and any physical or environmental conditions have not been specified.

Salary

Salary details are not provided.

Growth Opportunities

Potential career advancement opportunities within the company have not been specified.

Benefits

Details regarding offered benefits, such as insurance, paid leave, and work policies, have not been provided.