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Machine Learning Engineer - Human Behavior and Carbon Neutrality

Join to apply for the Machine Learning Engineer - Human Behavior and Carbon Neutrality role at HireArt

Machine Learning Engineer - Human Behavior and Carbon Neutrality

Join to apply for the Machine Learning Engineer - Human Behavior and Carbon Neutrality role at HireArt

Expected compensation: 97.74 USD Per Hour
HireArt is helping TRI hire a Machine Learning Engineer - Human Behavior and Carbon Neutrality to develop and optimize models that personalize user experiences and power generative AI features within these platforms.
In this role, you will design, develop, and deploy machine learning models to personalize user experiences in mobile/web apps while staying up to date with state-of-the-art AI/ML research and applying innovative techniques to improve personalization.
We're looking for someone with 4+ years of experience in machine learning engineering or applied AI. Strong programming skills in Python and experience deploying generative AI/ML models in AWS is preferred.
As a Machine Learning Engineer - Human Behavior and Carbon Neutrality, you will:

• Design, develop, and deploy machine learning models, including recommendation algorithms and adaptive learning systems, to personalize user experiences in mobile/web apps.
• Productionize off-the-shelf and in-house generative AI models for deployment in user-facing applications.
• Work with user data pipelines to process, clean, and analyze data from a variety of sources, including human behavior data, for AI/ML-driven features.
• Optimize models for on-device inference and cloud-based processing, balancing efficiency and performance.
• Collaborate with backend engineers to integrate ML models into APIs for real-time and batch predictions.
• Ensure data privacy and security compliance in ML workflows.
• Stay up to date with state-of-the-art AI/ML research and apply innovative techniques to improve personalization.
  

• 4+ years of experience in machine learning engineering or applied AI
• Strong programming skills in Python (preferred), TensorFlow, PyTorch, or Scikit-learn
• Experience deploying generative AI/ML models in cloud environments (preferably AWS)
• Deep understanding of supervised and unsupervised learning, recommendation systems, and reinforcement learning
• Experience working with large-scale user behavior datasets for feature engineering and model training
• Experience in A/B testing, experimentation frameworks, and model evaluation
• Ability to work independently in a collaborative, interdisciplinary team environment, with excellent visual, verbal, and written communication skills; comfortable receiving and incorporating constructive feedback
  

• Experience with generative AI for personalized content recommendations
• Experience with agentic AI applications
• Knowledge of iOS app development workflows and how ML models interact with mobile applications
• Familiarity with real-time inference, on-device ML (Core ML)
  

• PTO and paid holidays!
• Pre-tax commuter benefits
• Employer (HireArt) Subsidized healthcare benefits
• Flexible Spending Account for healthcare-related costs
• HireArt covers all costs for short- and long-term disability and life insurance
• 401k package
  

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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