Machine Learning Engineer @ Multiverse Computing
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Machine Learning Engineer at Multiverse Computing
Multiverse Computing is a well-funded, fast-growing deep-tech company and the largest quantum software company in the EU. Recognized by CB Insights as one of the 100 most promising AI companies worldwide, the company employs 180+ multicultural professionals. It delivers hyper-efficient software using quantum computing and AI through flagship products like CompactifAI and Singularity.
Role Overview
As a Machine Learning Engineer, you will design and develop techniques to compress Large Language Models using quantum-inspired technologies, build LLM based applications (RAG and AI agents), perform performance evaluations, and optimize model accuracy and efficiency. You will also share your expertise, mentor junior team members, participate in code reviews, and keep up with emerging LLM trends.
Responsibilities
- Design techniques for compressing Large Language Models.
- Develop and optimize LLM applications and experiments.
- Conduct performance benchmarks and fine-tune models.
- Maintain detailed documentation of development processes.
- Mentor junior colleagues and participate in code reviews.
Qualifications
Minimum qualifications include a Bachelor’s, Master’s, or Ph.D. in AI, Computer Science or related fields with 2+ years of experience, strong proficiency in Python, and knowledge of deep learning algorithms. Familiarity with PyTorch, HuggingFace, AWS, Docker, and GPU architecture is essential. A strong mathematical foundation and excellent communication skills are required. Research publications and experience in HPC clusters, DevOps/MLOps practices, and RAG systems are a plus.
Perks and Benefits
- Equal pay guarantee and private health insurance.
- Hybrid work opportunity with flexible hours.
- Language classes and discounted lunch options.
- Career plan and opportunity to mentor and learn.
- Inclusive, multicultural, and fast-paced environment.
Key skills/competency
- Deep Learning
- Machine Learning
- LLM
- Quantum Computing
- Python
- PyTorch
- AWS
- Docker
- HPC
- MLOps
How to Get Hired at Multiverse Computing
🎯 Tips for Getting Hired
- Research Multiverse Computing: Understand their quantum-AI products and culture.
- Customize your resume: Emphasize deep learning and Python skills.
- Highlight project experience: Showcase LLM and cloud deployment work.
- Prepare for technical interviews: Review quantum-inspired algorithms and benchmarking.