Senior Machine Learning Engineer

What you'll do

• Develop scalable NLP pipelines for tasks such as narrative detection, entity linking, event extraction, and analysis of multilingual text.
• Build ML workflows and LLM features, including RAG, agents, model fine-tuning, evaluation, and deployment in production infrastructure.
• Collaborate across product, engineering, and data science; guide ML architecture and strategy and mentor colleagues.

What they ask for

• Bachelor’s degree and 5 years of experience, or master’s degree and 3 years of experience, in Computer Science, Machine Learning, or a related technical field.
• Track record building and deploying production ML systems with deep NLP expertise, including transformers, LLMs, and embedding models.
• Strong Python skills and fluency with PyTorch and the Hugging Face ecosystem.
• Hands-on experience with AWS, Kubernetes, Docker, Terraform, CI/CD, ML orchestration, vector search, and LLM applications.

Nice to have

• Active or prior SECRET clearance.
• Experience with AWS GovCloud, full-stack ML product integration, or compliance-constrained environments.

Pay

$95,000-$141,000 USD base salary

Tools

Metaflow, Argo Workflows, Kubernetes (EKS), AWS Bedrock, OpenSearch, Django, PostgreSQL, Kafka

AI focus

Develop production NLP and LLM applications, including multilingual text analysis, transformer fine-tuning, RAG, agents, and ML evaluation.