Senior Machine Learning Engineer, Automation Platform (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

223000.0

Posted On

10 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, NLP, Java, Ruby, Kotlin, C++, Large Scale Services, Cross-Functional Collaboration, Problem Solving, AI, Automation, Technical Strategy, Mentoring, Scalable Services, User Experience, Conversational AI, AI-Driven Automation

Industry

Internet Marketplace Platforms

Description

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: Drive the design, implementation, and improvement of the conversational AI platform, applying state-of-the-art ML/NLP techniques. Collaborate with infrastructure, backend, and platform teams to build scalable and reliable services. Develop automation solutions that enhance efficiency for support teams and improve user experience. Work with cross-functional groups including product, design, and operations to deliver end-to-end solutions. Contribute to the technical vision and roadmap for AI within the platform. Mentor and guide engineers on best practices for ML, platform design, and deployment. 5+ years of professional experience with a Bachelor’s or Master’s degree in Computer Science, or 3+ years with a PhD in CS. Proficiency in one or more backend languages (Java, Ruby, Kotlin, C++). Experience designing and scaling large-scale services or platforms. Expertise or interest in ML/NLP applications, particularly large language model-based platforms. Proven ability to work collaboratively with cross-functional teams including product, design, and operations. Strong problem-solving skills and ability to translate research into production-ready solutions. Preferred: experience with large-scale ML systems, NLP pipelines, and deploying AI in customer support or automation contexts. Competitive salary: $191,000 – $223,000 USD, with potential eligibility for bonus, equity, and other incentives. Flexible remote work, with occasional in-office or offsite participation. Comprehensive health coverage (medical, dental, vision). Opportunities for professional growth, mentorship, and hands-on ML/AI development. Inclusive and diverse work environment fostering innovation and belonging. Paid parental leave, vacation, and sick/mental health days. Additional perks may include employee travel credits and other company-specific 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! #LI-CL1

Responsibilities

Drive the design, implementation, and improvement of a conversational AI platform using state-of-the-art ML/NLP techniques. Collaborate with various teams to develop automation solutions that enhance efficiency and improve user experience.