Senior Machine Learning Engineer - Remote LLM & Multi-Agent AI Specialist
Join a dynamic, globally distributed team as a Senior Machine Learning Engineer focused on cutting-edge LLM and multi-agent AI development.
This role offers the opportunity to shape the future of our social discovery products by leading post-training and fine-tuning efforts for large language models.
You will be instrumental in designing and implementing sophisticated multi-agent systems, ensuring seamless evaluation and deployment workflows that enhance dialogue, memory, and safety features.
Advance your career in AI by contributing to robust MLOps fundamentals and optimizing Transformer models.
This position requires a deep understanding of Python and LLM optimization techniques, alongside a proven ability to construct effective datasets.
Be part of an innovative environment pushing the boundaries of artificial intelligence in user-centric applications.
| Jobs Date Posted: | 03 November, 2026 |
| Jobs Last Date to Apply: | 18 December, 2026 |
| Industry: | Technology |
| Jobs Industry Type: | Private |
| Job Hiring Organization: | Dating Group |
| Occupational Category: | Machine Learning Engineering |
| Education Requirements | Bachelor Degree |
| Employment Type: | full-time |
| Advertisement Source: | Eurojobs |
| Job Location: | Catalunya |
| Country of Appointment: | Spain |
| Employer Contact Phone: | 03390723246 |
Further Details
This Senior Machine Learning Engineer position emphasizes expertise in Large Language Models (LLMs) and multi-agent AI systems within a remote, collaborative setting. The role involves leading critical aspects of LLM development, including post-training and fine-tuning, while architecting advanced multi-agent AI solutions. This position represents excellent professional growth in the region. You will establish and refine evaluation and deployment pipelines to significantly improve dialogue, memory retention, and safety protocols for social discovery platforms. This position represents excellent Latest Dating Group careers in the region. The ideal candidate possesses extensive Python proficiency and a strong grasp of Transformer architectures and LLM optimization strategies. Experience in dataset construction and solid MLOps principles are essential. This is a prime opportunity for experienced AI professionals to drive impactful innovation and career growth within a forward-thinking company.
Senior Machine Learning Engineer — Remote, LLM & Multi-Agent AI
Social Discovery Group (SDG) is actively seeking a highly skilled Senior Machine Learning Engineer to spearhead the ML strategy for their remote, globally distributed workforce. This pivotal role focuses on advancing Large Language Models (LLMs) through post-training and fine-tuning, alongside architecting sophisticated multi-agent AI systems. The successful candidate will be responsible for creating and refining evaluation and deployment pipelines, directly impacting the dialogue capabilities, memory functions, and safety features across SDG's innovative social discovery products.
This position offers a compelling opportunity for professionals passionate about AI and its applications. You will leverage deep Python expertise and extensive experience with Transformer architectures and LLM optimization techniques. A strong foundation in MLOps principles and the ability to construct effective datasets are paramount. Join a forward-thinking organization dedicated to enhancing user experiences through cutting-edge artificial intelligence solutions and contribute to significant career development in a remote work setting.
- Key Position: Senior Machine Learning Engineer
- Focus Areas: LLM Post-Training, Fine-tuning, Multi-Agent AI
- Location: Remote, Catalunya, Spain
- Required Skills: Advanced Python, Transformers, LLM Optimization, MLOps, Dataset Construction
- Benefits: Opportunity to drive AI innovation, collaborative global team environment, career advancement
Skills
- Expertise in Python
- Experience with Transformers
- Proficiency in LLM optimization techniques
- Dataset construction skills
- Strong MLOps fundamentals
- Experience with multi-agent system design
- Experience with LLM post-training and fine-tuning
Duties and Responsibilities:
- Lead LLM post-training and fine-tuning efforts
- Design and implement multi-agent AI systems
- Build robust evaluation and deployment workflows
- Improve dialogue, memory, and safety across social discovery products
- Drive the ML direction for a remote, globally distributed team
- Optimize Transformer models and LLM performance
- Develop and manage datasets for AI models
How to apply
- 💼 Click on the 'Apply Now' button to initiate your application.
- 📝 Ensure your Curriculum Vitae (CV) is up-to-date and highlights your relevant experience in Machine Learning, LLMs, and multi-agent AI.
- 🎓 Be prepared to discuss your qualifications, including your proficiency in Python, Transformer models, LLM optimization, dataset construction, and MLOps fundamentals.
- 🗓️ Submit your application before the closing date of 18 December 2026.
- 🌐 Applications are processed through the Eurojobs platform.
- 📞 Contact the provided WhatsApp number or email for any urgent inquiries regarding the application process.
- ✅ Confirmation of your application submission will be provided through the platform.
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