Senior Machine Learning Engineer
hace 1 mes
**The Cornerstone Talent** is looking for the best talent to join our team client.
A deep-tech company who works with Quantum Computing is looking for a **Senior Machine Learning Engineer** with experience in LLM & NLP projects, to join their team based in San Sebastián office.
**Responsibilities**:
- Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains.
- Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency.
- Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.
- Act as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation.
- Maintain comprehensive documentation of LLM development processes, experiments, and results.
- Share your knowledge and expertise with the team to foster a culture of continuous learning, guiding junior members of the team in their technical growth and helping them develop their skills in LLM development.
- Participate in code reviews and provide constructive feedback to team members.
- Stay up to date with the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate.
**Requirements**:
- Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
- 4+ years of hands-on experience with deep learning models and neural networks working with Large Language Models or computer vision models, preferably with experience in Transformers.
- Solid mathematical foundations and expertise in deep learning algorithms and neural networks, both training and inference.
- Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
- Strong understanding with the fundamentals of GPU architectures.
- Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).
- Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment
- Excellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively.
- Previous research publications in deep learning is a plus.
- Fluent in Spanish and English.
**Perks & Benefits**:
- Permanent contract.
- Relocation package (if applicable).
- Visa management.
- Opportunity to be part of the phantom shares programme.
- Holidays: 23 working days plus 14 public holidays (2023).
- Potential to grow into long-term opportunities.
- Working in a high paced environment, working on cutting edge technologies.
- Opportunity to learn and teach.
- A mix of remote and office work - A minimum of 3 days office work is required.
- Private health insurance.
- Progressive Company. Happy people culture.
- Competitive salary.
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