Senior Machine Learning Engineer

What you'll do

• Lead the technical design and architectural decisions for complex machine learning features and systems.
• Develop durable ML pipelines and codebases that support scaling and rapid iteration.
• Establish best practices for testing, observability, and AI-assisted development workflows.
• Resolve complex, ambiguous technical bugs by coordinating across different teams and resources.
• Provide accurate project estimates while managing risks and stakeholder communication for major features.
• Run and interpret A/B tests and statistical analyses to measure model and feature impact.
• Analyze customer feedback and product data to influence the direction of the product roadmap.
• Mentor team members by providing feedback on best practices and resolving technical ambiguities.

What we're looking for

• BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience.
• 5+ years of experience.
• Knowledge of data science and AI tools including Python, Scikit-learn, NLTK, NumPy, Pandas, TensorFlow, Keras, R, and Spark.
• Solid understanding of ML techniques such as classification, regression, and clustering, along with core ML principles.
• Proficiency in computer science fundamentals including data structures, algorithms, performance complexity, and computer architecture.
• Ability to write production-ready code using version control systems like Git or GitHub.
• Experience deploying highly scalable software for millions of users, including GPU acceleration (CUDA, cuDNN) and cloud platforms (AWS, GCP).
• Strong oral and written communication skills to explain complex material to non-technical audiences.