Shape the Future of Connection as Our Machine Learning Lead
Imagine shaping the very fabric of human connection through cutting-edge AI. Social Discovery Group invites a visionary Machine Learning Lead to guide our innovative dialogue systems. This isn't just another tech job; it's a chance to redefine how millions worldwide connect, turning virtual interactions into meaningful experiences. If you thrive on technical leadership, strategic thinking, and making a tangible impact, especially with the latest advancements in LLMs, then this remote, global opportunity is tailored for you. Come join our award-winning team, working from anywhere, and help us transform virtual intimacy into the new normal.
Overview
Social Discovery Group (SDG) stands as a dynamic collective of companies dedicated to solving the challenges of loneliness, isolation, and disconnection in today's world. We’re transforming how people interact, building platforms that redefine connection across cultures and regions globally. Our international team is a vibrant community of digital nomads and IT professionals, united by a passion for creating globally impactful social discovery products.
We are incredibly proud to be recognized as a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and acknowledged by FlexJobs as a Top-5 Company for Work-From-Anywhere Jobs in 2025. This role offers you the flexibility to contribute from anywhere in the world.
Key Responsibilities
- Drive ML Strategy: Take ownership of the Machine Learning strategy for our advanced dialogue systems. You will decide what to build and in what sequence, directly linking these initiatives to critical business metrics like ARPU, retention, and chat depth.
- Lead and Empower a Team: Guide a talented team of three ML engineers. This includes setting a high technical bar, efficiently distributing work, participating in hiring and development processes, and fostering the growth of your team members.
- Advance LLM Capabilities: Lead efforts in LLM post-training, model architecture design, and optimization, ensuring our systems leverage the latest in AI to deliver unparalleled user experiences.
Requirements
- Proven ML Leadership: Significant experience, typically 5+ years, in Machine Learning roles with at least 2 years in a leadership or senior capacity, managing ML engineers or scientists.
- Deep LLM Expertise: Strong background in Natural Language Processing (NLP) and extensive practical experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, and model deployment.
- Strategic Thinker: Demonstrated ability to translate complex technical challenges into clear strategic initiatives that drive business value.
- Dialogue Systems Background: Experience working on dialogue systems, conversational AI, or similar interactive AI applications.
- Technical Excellence: Profound understanding of machine learning principles, algorithms, and best practices.
- Team Builder: A passion for mentoring and developing technical talent, fostering a collaborative and innovative team environment.
- Remote Readiness: Self-motivated, highly organized, and comfortable working effectively in a fully remote, globally distributed team setting.
What You'll Gain
- Global Impact: Work on products that genuinely connect millions of people across diverse cultures, making a real difference in combating loneliness.
- Remote Freedom: Enjoy the ultimate flexibility of a fully remote role, allowing you to work from anywhere in the world while maintaining a healthy work-life balance.
- Award-Winning Culture: Join a company celebrated as a “Great Place to Work” and a top employer for remote jobs, where your contributions are valued and your growth is supported.
- Cutting-Edge Technology: Lead the adoption and implementation of advanced ML technologies, particularly LLMs, at the forefront of social discovery.
- Professional Growth: Opportunities for continuous learning, professional development, and career advancement within a rapidly expanding global organization.
How to Apply
Click the apply button below to view the full job details and submit your application directly through the employer's official page.

