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Machine Learning Engineer

Visa Sponsorship Relocation
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Build and optimize end-to-end data and model pipelines for AI and quantum-inspired products. Design rigorous evaluation frameworks and scale training/inference using distributed compute. Requires a Bachelor's degree and up to 2 years of experience in Python, ML, and LLMs.

Key Highlights
Develop and ship machine learning models for flagship products CompactifAI and Singularity
Implement model compression, post-training (SFT/RL), and distributed training optimizations
Design evaluation frameworks and collaborate across research and engineering teams
Key Responsibilities
Build data and model pipelines end-to-end, including dataset creation, augmentation, validation, and model shipping
Design rigorous evaluation frameworks to verify task competence and alignment, implementing statistical testing and continuous evaluation
Scale training and inference by utilizing distributed compute, optimizing throughput and latency, and identifying speedup opportunities
Improve models post-training by applying supervised fine-tuning (SFT) and reinforcement learning methods
Optimize and specialize models using compression techniques to meet performance and footprint targets
Collaborate across research and engineering teams, contributing to the shared codebase and upholding engineering standards
Technical Skills Required
Python Machine Learning Large Language Models
Benefits & Perks
Indefinite contract
Variable performance bonus
Signing bonus
Work visa sponsorship
Relocation package
Private health insurance
Flexible remuneration
Educational budget
Hybrid opportunity
Flexible working hours
Language classes
Discounted lunch options
Nice to Have
PhD in ML, Computer Science, Math, Physics, Data Science, or related field
Experience building foundational LLMs from the ground up
Track record building task-grounded evals for LLMs
Hands-on experience debugging multi-node training and profiling/optimizing throughput
Experience with pruning, quantization, and NAS for model compression
Theoretical and practical familiarity with RL theory, frameworks, and monitoring

Job Description

Multiverse ComputingMultiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.Our flagship products, CompactifAI and Singularity, address critical needs across various industries:
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