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Machine Learning Engineer

Machine Learning Engineer

Your IT RecruiterLos Angeles, CA, us
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Job Description

This is a remote position.

Your IT Recruiter is helping Toyota Research Institue 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.

Requirements

Requirements

  • 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

    • Bonus Qualifications :

  • 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)

    • Benefits

    Benefits :

  • 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

    • Commitment : This is a full-time, 9-month contract position staffed via our client. This position will be remote with preference given to candidates based in the Bay Area who are open to working onsite in Los Altos, CA.

    Our client values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp.

    Requirements

    Basic Qualifications :

  • BS in Computer Science, Software Engineering, Computer Engineering, or equivalent STEM field rom an accredited college in a related discipline, with 5 years of professional experience; or 3 years of professional experience with a related Masters degree.
  • Academic or professional experience using Java, C, C++, C#, Python, or similar programming languages
  • Ability to obtain and maintain a security clearance Desired skills :
  • Working on cross-functional teams (Hardware, Software, Integration / Test).
  • FACE, Data Modelling and Model-Based Systems Engineering (MBSE) - Cameo or Rhapsody, SysML, DOORS, ICD / IRD / IDD.
  • Design Assurance, System Verification, Integration & Test - test documentation and conduct, troubleshooting hardware / software.
  • Strong verbal and written communication.
  • Familiarity or Experience with any of the following : o Data Modeling o SWF / DDE o CPL and UoP development, FACE o Cockpit Avionics, DO-178 o Air Data Computer, AHRS Integration, Civil FMS
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    Machine Learning Engineer • Los Angeles, CA, us