MTS ML Research Engineer: Time-Series & Optimization

Omnifold; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Omnifold in San Francisco is seeking a Member of Technical Staff, ML Research Engineer, to work on developing custom AI models for supply chains. The role requires expertise in machine learning and aims to maximize operational efficiency in various dynamical environments.

The ideal candidate will have 5+ years in machine learning engineering, particularly in deep learning and time-series analysis. You will own the full cycle of research and directly see the impact your work has on real-world systems.

Qualifications

• 5+ years of industry machine learning engineering experience.
• Experience with time-series forecasting and related domains.
• Understanding of LLMs and practical system design.

Responsibilities

• Train models for forecasting across complex supply chain environments.
• Build and curate proprietary data assets.
• Integrate LLM capabilities into custom models.
• Continuously improve model performance based on market shifts.

Skills

Machine learning engineering

Deep learning models

Time-series forecasting

Mathematical modeling

Optimization

Large code bases

LLM understanding

Job description

Omnifold in San Francisco is seeking a Member of Technical Staff, ML Research Engineer, to work on developing custom AI models for supply chains. The role requires expertise in machine learning and aims to maximize operational efficiency in various dynamical environments.

The ideal candidate will have 5+ years in machine learning engineering, particularly in deep learning and time-series analysis. You will own the full cycle of research and directly see the impact your work has on real-world systems.