Senior Machine Learning Engineer II, Marketing
Instacart
Senior Machine Learning Engineer II, Marketing
Job Description
Responsibilities
- Design, develop, and deploy machine learning solutions to tackle practical challenges in our complex marketplace.
- Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
- Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
- Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
Required Qualifications
- Have a graduate degree (Master’s or PhD) in artificial intelligence, machine learning, operations research, or equivalent self-study and experience.
- Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and machine learning tools (e.g., scikit-learn, XGBoost, Keras/TensorFlow).
- Have strong analytical skills and proven problem-solving abilities.
- Are a strong communicator who can collaborate with diverse stakeholders across all levels.
Preferred Qualifications
- Have 5+ years of industry experience using machine learning to solve real-world problems with large datasets.
- Knowledge of deep learning frameworks and methodologies.
- Experience in productionalizing machine learning and optimization techniques to solve marketplace problems.
Required Skills
- Python
- SQL
- Pandas
- scikit-learn
- XGBoost
- Keras/TensorFlow
- analytical skills
- problem-solving
- communication
- deep learning frameworks
Salary Range
$196000 - $263000 USD
Locations
- San Francisco, CA, United States, San Francisco, CA, United States
Salary
196,000 - 263,000 USD / yearly
Skills Required
- Pythonintermediate
- SQLintermediate
- Pandasintermediate
- scikit-learnintermediate
- XGBoostintermediate
- Keras/TensorFlowintermediate
- analytical skillsintermediate
- problem-solvingintermediate
- communicationintermediate
- deep learning frameworksintermediate
Required Qualifications
- Have a graduate degree (Master’s or PhD) in artificial intelligence, machine learning, operations research, or equivalent self-study and experience. (experience)
- Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and machine learning tools (e.g., scikit-learn, XGBoost, Keras/TensorFlow). (experience)
- Have strong analytical skills and proven problem-solving abilities. (experience)
- Are a strong communicator who can collaborate with diverse stakeholders across all levels. (experience)
Preferred Qualifications
- Have 5+ years of industry experience using machine learning to solve real-world problems with large datasets. (experience)
- Knowledge of deep learning frameworks and methodologies. (experience)
- Experience in productionalizing machine learning and optimization techniques to solve marketplace problems. (experience)
Responsibilities
- Design, develop, and deploy machine learning solutions to tackle practical challenges in our complex marketplace.
- Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
- Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
- Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
Tags & Categories
Senior Machine Learning Engineer II, Marketing
Instacart
Senior Machine Learning Engineer II, Marketing
Job Description
Responsibilities
- Design, develop, and deploy machine learning solutions to tackle practical challenges in our complex marketplace.
- Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
- Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
- Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
Required Qualifications
- Have a graduate degree (Master’s or PhD) in artificial intelligence, machine learning, operations research, or equivalent self-study and experience.
- Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and machine learning tools (e.g., scikit-learn, XGBoost, Keras/TensorFlow).
- Have strong analytical skills and proven problem-solving abilities.
- Are a strong communicator who can collaborate with diverse stakeholders across all levels.
Preferred Qualifications
- Have 5+ years of industry experience using machine learning to solve real-world problems with large datasets.
- Knowledge of deep learning frameworks and methodologies.
- Experience in productionalizing machine learning and optimization techniques to solve marketplace problems.
Required Skills
- Python
- SQL
- Pandas
- scikit-learn
- XGBoost
- Keras/TensorFlow
- analytical skills
- problem-solving
- communication
- deep learning frameworks
Salary Range
$196000 - $263000 USD
Locations
- San Francisco, CA, United States, San Francisco, CA, United States
Salary
196,000 - 263,000 USD / yearly
Skills Required
- Pythonintermediate
- SQLintermediate
- Pandasintermediate
- scikit-learnintermediate
- XGBoostintermediate
- Keras/TensorFlowintermediate
- analytical skillsintermediate
- problem-solvingintermediate
- communicationintermediate
- deep learning frameworksintermediate
Required Qualifications
- Have a graduate degree (Master’s or PhD) in artificial intelligence, machine learning, operations research, or equivalent self-study and experience. (experience)
- Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and machine learning tools (e.g., scikit-learn, XGBoost, Keras/TensorFlow). (experience)
- Have strong analytical skills and proven problem-solving abilities. (experience)
- Are a strong communicator who can collaborate with diverse stakeholders across all levels. (experience)
Preferred Qualifications
- Have 5+ years of industry experience using machine learning to solve real-world problems with large datasets. (experience)
- Knowledge of deep learning frameworks and methodologies. (experience)
- Experience in productionalizing machine learning and optimization techniques to solve marketplace problems. (experience)
Responsibilities
- Design, develop, and deploy machine learning solutions to tackle practical challenges in our complex marketplace.
- Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
- Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
- Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
Tags & Categories