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SeniorFull-timePythonMachine LearningTensorFlowPyTorchAIAPIMLNLP
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a highly skilled Machine Learning Engineer with deep expertise in NLP, large language models, and model deployment. This role focuses on building and operationalizing the core ML components that power our next-generation search, summarization, and answer generation capabilities.
Key Responsibilities
- →Build and productionize LLM and NLP models across retrieval, summarization, classification, and generative tasks
- →Improve model accuracy, relevance, and robustness through structured evaluation frameworks
- →Design and implement scalable ML services and inference pipelines in Python
- →Integrate models with retrieval systems, feature stores, and knowledge sources
- →Translate complex NLP and LLM product requirements into structured engineering plans
- →Participate in technical design reviews and champion improvements in ML engineering practices
Requirements
- ✓4+ years applying ML in production with practical depth in NLP, LLM workflows
- ✓Hands-on experience with transformer models, embedding-based methods, and retrieval augmented techniques
- ✓Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow
- ✓Experience building scalable and reliable ML services with attention to latency and observability
- ✓Ability to design robust agentic components including control flow and state management
- ✓Strong collaboration skills with cross-functional partners to align priorities
Benefits
- ★MacBook laptop
- ★Monthly phone and internet subsidy
- ★Work-from-home budget
- ★Professional mastery allowance
- ★Supportive remote-first culture
- ★Employee Resource Groups
- ★Townhalls and quarterly celebrations
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