Jobgether
Senior Machine Learning Engineer, Customer Support Engineering
Accountabilities:
- Design, build, and optimize advanced ML systems powering customer support experiences, including chat and voice AI assistants.
- Develop and productionize agentic AI architectures involving multi-agent orchestration, tool use, reasoning pipelines, and autonomous decision-making systems.
- Build and improve LLM-based solutions including fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG systems, and evaluation frameworks.
- Lead end-to-end development of ML features from early research exploration to scalable production deployment.
- Collaborate cross-functionally with Product, Design, and Engineering teams to translate customer support needs into robust AI solutions.
- Improve model performance through experimentation, feedback loops, evaluation automation, and guardrail design.
- Contribute to ML infrastructure, model serving systems, and MLOps best practices to ensure reliability and scalability.
- Stay current with emerging AI research and actively share insights to elevate team capabilities and technical direction.
- Master’s or PhD in Computer Science, Machine Learning, AI, or related field, or equivalent industry experience.
- 6+ years of hands-on experience building and shipping ML/AI systems at scale in production environments.
- Strong expertise in large language models, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, and evaluation methodologies.
- Proven experience designing and implementing agentic AI systems (e.g., ReAct, LangGraph, AutoGen, or similar frameworks).
- Deep understanding of RAG architectures, retrieval systems, and LLM-based reasoning pipelines.
- Strong software engineering skills with experience in building scalable, reliable ML infrastructure and services.
- Experience with MLOps practices, model deployment, monitoring, and performance optimization in production environments.
- Strong cross-functional communication skills with ability to collaborate across engineering, product, and design teams.
- Ability to thrive in fast-paced, research-driven environments where ambiguity and experimentation are common.
- Passion for AI innovation and improving real-world customer experiences through applied machine learning.
- Competitive compensation including base salary, bonus, and equity
- Annual employee travel credits to support personal and professional exploration
- Comprehensive medical, dental, and vision insurance coverage
- Remote-first flexibility with eligibility across approved U.S. states
- Equity participation in a global, high-growth technology organization
- Opportunities to work on cutting-edge AI systems used at massive scale
- Inclusive and collaborative culture focused on innovation and experimentation
- Strong emphasis on learning, research exploration, and technical development.
Requirements:
Benefits:
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Senior Machine Learning Engineer