Senior Machine Learning Engineer

Job Description

The role

You will be part of the ML team at Mavenoid, shaping the next product features to help people around the world get better support for their hardware devices. The core of your work will be to understand users’ questions and problems to fill the semantic gap.

The incoming data consists mostly of textual conversations, search queries and documents (more than 1M text conversations per month and growing volume on voice). You will help to process this data and assess new LLM and NLP models to build and improve the set of ML features in the products.

Tech Stack

• Python
• NLP/ML libs, including langchain, langfuse, huggingface, pytorch (among others)
• Major LLM providers (OpenAI, Anthropic, Google, Mistral) and hosted models
• Deploying with docker on GCP cloud services
  

We are pragmatic on which tool to use for each approach, as long as it can be properly packaged for production.

Way of working

We are a small team — by design — and share responsibilities. We care about:

• Shipping to production and see usage
• Keeping up with the ML developments
• Balance between speed and codebase quality
  

You Will

• Work fully remote and meet IRL few times a year
• Focus on specific features and own the process from scoping to production delivery
• Evaluate ideas and propose the right metrics to explore/implement/ship new things
• Contribute on ML models and features but also service architecture and the platform at scale
  

Qualifications

• You are an ML engineer who cares about product and user outcomes
• At least 4 years of industry experience in ML/data-science roles, specifically in NLP/generative and with conversational data
• Experience with ML problem-solving, diagnosing errors and hypothetising next steps
• Experience with shipping ML services using Docker (build images, manage revisions), GCP services (cloud run, instances, vertex) and CI/CD practices
• Experience with real-time LLM services for RAG conversational systems in production
• Experience with voice or agentic system is a plus
• Experience with working in a compact ML team with shared responsibilities & ownership
  

Responsibilities

• Scope, build, and deliver ML features to production
• Thinking ahead for long-term ML development in the product
• Following software and ML engineering best practices to keep things humming

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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