Staff Machine Learning Engineer (Modeling), Support

1. About Our Client:

The organization operates multiple brands that aim to increase access to the global economy by unlocking different financial and commerce services. Its offerings include platforms for commerce and financial services accessibility, digital money management, spending solutions, music entrepreneurship, bitcoin wallet services, and bitcoin mining products. Together, these brands contribute to building a financial system that is open and accessible to everyone.

2. About the Opportunity:

The Staff Machine Learning Engineer (Modeling), Support role focuses on leading machine learning initiatives that enhance customer support experiences across the organization’s ecosystem. This position drives innovation in intelligent, automated support systems, including customer-facing chatbots and internal tools, aiming to improve support quality, efficiency, and accessibility through advanced ML and generative AI technologies.

3. Responsibilities:

• • Lead end-to-end delivery of multiple machine learning projects from planning to long-term maintenance
• • Collaborate with cross-functional leaders to define and drive ML roadmaps based on domain knowledge and industry trends
• • Guide team direction by identifying new ML/AI opportunities and advising on strategic decisions
• • Conduct R&D on next-generation chatbot architectures using technologies like LLMs, RAG, fine-tuning, and real-time inference
• • Design, deploy, and maintain ML models powering conversational agents and support chatbots
• • Develop ML-powered tools and real-time recommendation systems to enhance support agent effectiveness and customer outcomes
• • Serve as the technical representative for the team, communicating work and results to stakeholders and partners

4. Requirements:

• • Over 10 years of experience in machine learning, applied AI, or product ML roles with deep technical expertise
• • Demonstrated leadership skills influencing and aligning cross-functional teams
• • Proven impact in shaping systems or initiatives across multiple teams or functions
• • Experience delivering end-to-end ML features from problem framing through deployment and maintenance
• • Background with language models, dialog systems, or generative AI in production
• • Strong foundation in NLP, deep learning, or ML infrastructure best practices
• • Excellent communication skills for representing the team to leadership and stakeholders
• • Enthusiasm for R&D and advancing applied AI in conversational systems

5. Pay Range and Compensation Package:

• • Zone A: $189,000—$283,600 USD
• • Zone B: $179,600—$269,400 USD
• • Zone C: $170,100—$255,100 USD
• • Zone D: $160,700—$241,100 USD

6. Benefits & Perks:

• • Remote work options
• • Medical insurance
• • Flexible time off
• • Retirement savings plans
• • Modern family planning support

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.