Senior Machine Learning Engineer at Mavenoid

Mavenoid is the intelligent support platform designed to change how the world interacts with hardware devices. We provide manufacturers and sellers with genius-level troubleshooting and personalized remote support, helping them reduce costs while delivering top-tier customer experiences. Having successfully raised our Series B, we are in a thrilling phase of expansion. Although we were founded in Stockholm, we now operate as a global, remote-first company with team members spread across the United Kingdom, the United States, Sweden, and beyond. We are small enough that every new hire makes a tangible impact, and we are looking for someone who shares our passion for building meaningful technology.

What is this role?

We are looking for a Senior Machine Learning Engineer to join our dedicated ML team. This is a full-time, remote position open to candidates located anywhere. You will play a pivotal role in shaping the next generation of our product features, focusing on bridging the semantic gap in how users interact with their hardware. We value pragmatic engineers who are comfortable taking ownership of the entire lifecycle of a feature, from initial scoping to production delivery.

What will you do?

• Scope, build, and deploy high-impact machine learning features directly into our production environment.
• Think strategically about the long-term evolution of ML within our product to ensure we stay ahead of technical challenges.
• Maintain high standards for both software and ML engineering to keep our systems running smoothly and efficiently.

What makes you a great fit?

To thrive in this role, you should be an engineer who genuinely cares about user outcomes and product success. We are looking for the following qualifications:

• At least 4 years of professional experience in ML or data science roles, with a strong focus on NLP, generative models, and conversational data.
• Proven ability to solve complex ML problems, diagnose errors, and hypothesize effective next steps.
• Hands-on experience shipping ML services using Docker, GCP (including Cloud Run and Vertex AI), and robust CI/CD practices.
• Practical experience working with real-time LLM services for RAG conversational systems in a production setting.
• Proficiency in Python and familiarity with modern ML libraries such as Huggingface, PyTorch, langchain, and langfuse.
• The ability to work effectively in a compact, collaborative team where responsibilities are shared and ownership is encouraged.
• Fluency in English.

What's in it for you?

Joining our team means becoming part of a culture that values speed, transparency, and continuous learning. We offer the following benefits:

• Remote work flexibility, allowing you to work from anywhere while staying connected to a global team.
• The opportunity to meet your colleagues in person several times a year.
• A collaborative environment where you can influence system architecture and platform development at scale.