Senior Machine Learning Engineer, Community Support Engineering

Jobgether

4d • $191,000 - $223,000 • Remote

About The Position

This role offers the opportunity to shape the future of customer service using cutting-edge machine learning and AI technologies. You will work on large-scale, high-impact initiatives that transform how users interact with support systems, creating personalized and proactive experiences. Operating at the forefront of AI, you will develop, optimize, and deploy ML models, including LLM fine-tuning, RAG/Search applications, and feedback-driven learning systems. Collaborating closely with cross-functional teams, you will turn early-stage conceptual ideas into production-ready solutions that drive measurable improvements. This position combines technical leadership, research innovation, and real-world problem-solving in a dynamic, remote-eligible environment. You will be part of a team dedicated to leveraging AI to deliver exceptional user experiences at scale.

Requirements

• PhD or Master’s degree in Computer Science, Machine Learning, or equivalent experience.
• 5–9 years of ML engineering experience, with ownership of large-scale software systems.
• Strong background in AI/ML system design, including experience with LLM-driven chatbots or Agentic AI preferred.
• Proven experience building scalable, efficient ML-powered products.
• Excellent programming skills and familiarity with ML frameworks, cloud platforms, and relevant tools.
• Exceptional communication and collaboration skills, able to work effectively across engineering, product, and design teams.
• Strong analytical and problem-solving abilities, with a focus on real-world application and measurable outcomes.

Responsibilities

• Design, implement, and optimize machine learning systems and AI services that enhance customer support experiences.
• Develop, fine-tune, and evaluate large language models (LLMs) and other AI tools for practical deployment in support products.
• Collaborate with product, design, and engineering teams to integrate AI solutions into end-to-end workflows.
• Build and maintain automated testing and feedback systems to ensure high performance, reliability, and scalability of ML models.
• Stay current with emerging AI/ML technologies, sharing insights and best practices with the team.
• Transform conceptual AI initiatives from research stages into production-ready solutions with measurable impact.

Benefits

• Competitive base salary and potential bonus opportunities ($191,000 – $223,000 USD base range).
• Equity options and long-term incentive programs.
• Comprehensive healthcare coverage including medical, dental, and vision plans.
• Flexible work arrangements, including remote-eligible options.
• Professional development and learning opportunities in advanced AI/ML technologies.
• Collaborative, innovative, and inclusive work environment with high-impact projects.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level