As an Applied ML Engineer on our team youll help develop simulation systemssupport data tooling and contribute to evaluation workflows that improve the reliabilityof modern AI. Youll collaborate closely with experienced engineers and researcherslearning how to instrument monitor and analyze model behavior especially forlanguage models and agent-style is a great opportunity for someone early in their career to work with cutting-edge AItechnologies in a high-impact supportive environment. Youll gain experience workingwith large-scale ML systems learn best practices in applied AI and grow your skillsacross engineering product and research.
Bachelors or Masters degree in Computer Science Machine Learning or related field
Strong programming skills in Python or another modern language (e.g. Java Swift
Go)
Basic understanding of machine learning principles
Interest in LLMs generative AI or agent-based systems
Curiosity about how to evaluate and improve real-world AI performance
Strong collaboration and communication skills
Coursework or internship experience in ML AI systems or applied data science
Familiarity with training or evaluating models (even via coursework or personal
projects)
Exposure to tools like PyTorch TensorFlow or Hugging Face
Interest in AI observability behavior simulation or synthetic data
Passion for working cross-functionally in fast-moving exploratory teams
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