Staff Machine Learning Engineer

Posted 7 days agoViewed

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💎 Seniority level: Staff, 8+ years

📍 Location: United States

💸 Salary: 178000.0 - 228000.0 USD per year

🔍 Industry: Financial Technology

🗣️ Languages: English

⏳ Experience: 8+ years

🪄 Skills: DockerPythonSQLApache AirflowKubeflowKubernetesMachine LearningPyTorchSpark

Requirements:

8+ years of experience as a machine learning engineer, with a relevant PhD counting for up to 2 years.
Experience developing ML models at scale from inception to business impact.
Proficiency in various ML techniques like Generalized Linear Models, Gradient Boosting, Deep Learning.
Strong engineering skills in Python and data manipulation using SQL.
Experience with large-scale distributed systems like Spark or Ray.
Familiarity with open-source tools such as scikit-learn, pandas, NumPy, XGBoost, PyTorch, Kubeflow.
Experience with Kubernetes, Docker, and Airflow is a plus.
Excellent written and oral communication skills.

Responsibilities:

Use proprietary and third-party data to develop ML models predicting default likelihood.
Partner with engineering teams to build model systems for training, decisioning, and monitoring.
Research and prototype innovative solutions for credit decisioning.
Implement and scale essential data pipelines and features for production models.
Collaborate across teams to define requirements for new products.

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Staff Machine Learning Engineer

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