Your Role
As an ML Engineer, you will focus on building, training, and optimizing the core models that power our AI agents. You’ll work on fine-tuning LLMs, training custom components, experimenting with model behavior, and pushing the boundaries of model performance and reliability.
You will work with Python, PyTorch, HuggingFace, LoRA/QLoRA, distributed training, evaluation suites, and data pipelines. You’ll help define how models adapt to customer data, how they perform across tasks, and how we scale our training workflows efficiently.
Your responsibilities will include:
Fine-tuning and optimizing LLMs, embeddings models, and smaller neural componentsDesigning and maintaining datasets, preprocessing pipelines, and training workflowsRunning experiments to evaluate model behavior, track improvements, and ensure reproducibilityBenchmarking different models and architectures to guide product decisionsDeveloping internal tooling to streamline training, evaluation, and data curationWorking closely with the product and engineering teams to bring new ML capabilities to productionStaying on top of the latest advances in LLM training, efficient finetuning, distillation, and evaluationand contributing your own expertise to continuously improve our ML stack and best practices ⚙️🧠Ideal candidate
3–5+ years of experience in Machine Learning, Deep Learning, or Applied AIStrong background in Python, PyTorch, and modern ML tooling (HuggingFace, Weights & Biases, etc.)Hands-on experience fine-tuning LLMs or training neural models (even personal or research projects count!)Solid understanding of data preprocessing, training methodology, evaluation metrics, and experiment trackingKnowledge of efficient training techniques (LoRA, QLoRA, distillation, quantization, multi-GPU training, etc.)Passion for building high-quality, reliable ML systems with a strong product mindsetIndependent, rigorous, and proactive → we love people who bring ideas, challenge assumptions, and elevate the teamAt Basalt, we seek pioneers who are motivated by challenges and excited about the possibilities of AI. If this sounds like you, we encourage you to apply even if you don't meet every single requirement!
Details
💵 Compensation: 🇫🇷 80k€ - 100k€ + Equity options💻 Remote Policy: Flexible (we like having people at the office regularly 🙃)🏢 Location: Paris 🇫🇷📆 Start Date: As soon as you are availableProcess
⚡ We value your time as much as ours, so we keep our process swift and engaging:
Apply: ‣A quick call with the CTO to introduce you to our team and mission and to make sure we meet your expectationsA more deep interview with the CTO to delve into your background, your skills and expertisesA casual meet-up with the other Founders/Tech team to finalize the fit and introduce you to the team environment
