Pre-Sales Engineer (Machine Learning)

Multiverse Computing

Multiverse is a well-funded and fast-growing deep-tech 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 hyper-efficient 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 blue-chip companies in finance, energy, manufacturing, cybersecurity, and more.

CompactifAI, on the other hand, is a groundbreaking compression tool for foundational models based on Tensor Networks. With CompactifAi, one can compress AI systems, such as large language models, to make them more 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.

As a Pre-Sales Engineer - Machine Learning, you will

• Join a leading team specialised in quantum computing and machine learning solutions.
• Actively support the Spanish & European operation; and North America as needed.
• Engage with potential clients across various industries to understand and match their needs with technical solutions.
• Work closely with growth, sales and technical teams to strategise and execute sales plans.
• Provide technical expertise during the sales process, including product demonstrations and technical presentations.
• Coordinate with the product and engineering teams to relay customer feedback and contribute to product development.
• Collaborate and do periodic rotations with the product support engineering team.
• Stay informed about market trends and competitor activities to inform sales strategies.

Required Qualifications

• Education: Master’s degree in Machine Learning, Physics, Mathematics, Computer Science, or related fields.
• Experience:
• +2 years in a technical role in the field of ML, AI, Quantum, or related.
• Strong understanding of machine learning, LLMs, GenAI and their applications in industry.
• Technical Skills:
• Proficient in Python
• Familiar with the full software development cycle and processes
• Familiar with ML/AI Optimization libraries
• Familiar with cloud infrastructure technologies (AWS, Azure, GCP, etc.)
• Language: English proficiency
• Communication Skills: Excellent presentation and communication abilities to effectively explain complex technical concepts to non-technical audiences.
• Soft Skills: Strong interpersonal skills, ability to work in diverse teams.
• Traveling: Must be available to travel as needed for meetings, conferences, and project requirements. Travel might include USA territory.

Preferred Qualifications

• Advanced Experience: Prior experience in a customer-facing role or technical sales.
• Additional Knowledge: Understanding of market trends in quantum computing, tensor networks and related technologies.
• Other preferred languages: Spanish, French or German proficiency is a plus

Perks & Benefits

• Indefinite contract.
• Equal pay guaranteed.
• Variable performance bonus.
• Signing bonus.
• Relocation package (if applicable).
• Private health insurance.
• Flexible remuneration: hospitality and public transportation.
• Eligibility for educational budget according to internal policy.
• Hybrid opportunity.
• Flexible working hours.
• Language classes and discounted lunch options.
• Working in a fast-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.