This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer, Automation Platform in the United States.
This role is a high-impact position on a team responsible for building and improving a large-scale conversational AI platform used to power critical customer support channels. You will design, implement, and optimize machine learning and NLP solutions that enhance automation, efficiency, and intelligence across user-facing support products. The position offers the chance to contribute to cutting-edge AI initiatives, influence technical strategy, and collaborate across cross-functional teams. You will work on scalable, reliable services, leveraging state-of-the-art ML architectures, while helping shape the roadmap for AI-driven automation. The ideal candidate thrives in a collaborative environment, enjoys solving complex technical problems, and has a passion for applying ML to real-world applications at scale.
Accountabilities:
Requirements
Benefits
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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