Senior Machine Learning Engineer

• Build and Deploy Models: Design, train, evaluate, and deploy machine learning models for natural language understanding tasks including intent detection, topic classification, conversation summarization, and user personas
• Design ML Pipelines: Architect scalable, production-grade training and inference pipelines using Spark, Databricks, Azure ML and modern ML frameworks
• NLP and Representation Learning: Develop and fine-tune transformer-based models and text encoders
• build and maintain embedding pipelines and vector databases for semantic search and retrieval
• Experimentation and Evaluation: Drive rigorous offline and online experimentation to measure model quality, iterate on architectures, and improve key product metrics
• Collaborate Across Teams: Partner with data engineers, data scientists, and product teams to translate research insights into shipped features and align model outputs with product goals
• Show Ownership Mindset: Proactively monitor model performance in production, diagnose regressions, and address scalability and reliability challenges before they become bottlenecks
• Contribute Strategically: Identify opportunities to improve model architectures, training methodologies, and evaluation frameworks
• mentor others on ML best practices

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience
• Proven experience in NLP, including experience with modern transformer architectures for tasks such as classification, encoding, summarization, and semantic search
• Experience with text embedding models, vector databases, and retrieval-augmented generation (RAG) patterns
• Familiarity with distributed training, model optimization, and serving ML models at scale
• Experience with search ranking, relevance modeling, or information retrieval systems
• Proficiency in Python and ML frameworks such as PyTorch, Hugging Face Transformers, or similar
• Experience working with data platforms (e.g., Spark, Databricks, Azure ML) and building end-to-end ML pipelines from data ingestion through model deployment

Certain roles may be eligible for benefits and other compensation