Senior Machine Learning Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Develop, assess, and implement models throughout the machine-learning lifecycle, utilizing both classical/statistical methods and fine-tuning compact, edge-optimized transformers.

• Design and manage hosted LLM integrations, which encompass prompt and evaluation design, LLM-as-judge frameworks, provider routing/failover, as well as cost and latency considerations.

• Create and operate models both on-device and in the cloud, selecting the appropriate platform based on latency, privacy, and cost factors.

• Collaborate across speech (ASR/TTS), NLP, and computer vision workflows.

• Establish, maintain, and update production ML services, focusing on serving constraints, monitoring, drift detection, and linking offline model performance to learner outcomes.

• Develop and sustain ETL pipelines utilizing storage solutions and databases, involving data cleaning, transformation, and noise reduction processes.

• Work collaboratively with mobile and platform teams, offering model-serving APIs, evaluation frameworks, and guidance on AI architecture.

⛳️ Requirements

• Over 5 years of experience in building and deploying machine-learning systems into production, covering both classical ML and applied deep learning.

• Proficiency in Rust or Go is preferred; familiarity with C++ is valued.

• Expertise in Python or Julia for data science, modeling, and exploratory analysis.

• Production experience with at least one of the following: PyTorch, JAX, or TensorFlow.

• Proficient in Git for version control, code review, and collaborative development.

• Regular hands-on experience with AI coding tools or agents.

• Practical experience in integrating hosted LLM providers into production environments, including prompting, evaluation, cost/latency considerations, and multi-provider routing.

• Experience in building models from the ground up and fine-tuning pretrained models.

• Capability to articulate modeling trade-offs to engineers and convey product impact to non-technical stakeholders.

• Familiarity with model compression, quantization, or distillation for on-device deployment is a plus.

• Background in NLP, speech (ASR/TTS), or computer vision is advantageous.

• Data ETL and manipulation experience with S3 or similar object storage, Postgres or other databases, including data transformation and noise reduction, is a plus.

• Legal authorization to work in Germany.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements to support work-life balance.

• Access to cutting-edge tools and technologies.

• A collaborative and inclusive work environment.