Senior Machine Learning Engineer
Senior Machine Learning Engineer
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1 Vacancy
Job Description
Multiverse Computing
Multiverse Computing Multiverse is a wellfunded and fastgrowing deeptech company founded in 2019. We are the biggest Quantum Software company in the EU. We are also one of the 100 most promising companies in AI in the world (according to CB Insights 2023) with 150 employees and growing fully multicultural and international.
We provide hyperefficient software to companies seeking to gain an edge with quantum computing and artificial intelligence. Our main products Singularity and CompactifAI address critical needs across various industries. Singularity remains a trusted solution for bluechip companies in finance energy manufacturing cybersecurity and more. CompactifAI on the other hand is a groundbreaking compressing tool of foundational models that uses Tensor Networks to extremely compress AI systems such as large language models making these efficient and portable.
You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment promoting sustainability and diversity. We aim to continue building our truly inclusive culture come and join us.
Required Qualifications
Masters or Ph.D. in Machine Learning Artificial Intelligence Computer Science Data Science or related fields.
4 years of handson experience with deep learning models and Industry experience (ideally at Amazon or in a startup).
Strong background and handson experience with different ML technologies especially natural language processing and large language models.
Proven experience with Yolo Llama Claude Mistral or Falcon is a huge plus.
Excellent problemsolving 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 fastpaced team environment and communicate complex ideas effectively.
Previous research publications in deep learning is a plus.
Fluent in English.
Preferred Qualifications
Ph.D. in Artificial Intelligence Computer Science Data Science or related fields Research experience in the field of LLMs.
Expertise in unsupervised machine learning time series.
Experience training and deploying deep learning models on the Cloud
Ability to work independently and hit the ground running.
Perks & Benefits
- Indefinite contract.
- Equal pay guaranteed.
- Variable performance bonus.
- Signing bonus.
- We offer work visa sponsorship (If applicable).
- Relocation package (if applicable).
- Private health insurance.
- Eligibility for educational budget according to internal policy.
- Hybrid opportunity.
- Flexible working hours.
- Language classes and discounted lunch options
- Working in a high paced environment working on cutting edge technologies.
- Career plan. Opportunity to learn and teach.
- Progressive Company. Happy people culture
As an equal opportunity employer Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds including age citizenship ethnic and racial origins gender identities individuals with disabilities marital status religions and ideologies and sexual orientations to apply.
Employment Type
Full Time
