Senior Machine Learning Engineer - Logistics
Instacart
Senior Machine Learning Engineer - Logistics
Job Description
Responsibilities
- Design, develop, and deploy machine learning solutions to tackle practical challenges in the 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 (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience
- Have 3+ years of industry experience using machine learning to solve real-world problems with large datasets
- Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
- Have strong analytical skills and problem-solving ability
- Are a strong communicator who can collaborate with diverse stakeholders across all levels
Preferred Qualifications
- Knowledge of deep learning frameworks and methodologies
- Experience in applying machine learning and optimization techniques to solve marketplace problems
Required Skills
- Python
- SQL
- Pandas
- scikit-learn
- XGBoost
- Keras/Tensorflow
- machine learning
- analytical skills
- problem-solving
- communication
- collaboration
Salary Range
$169000 - $226000 USD
Locations
- San Francisco, CA, United States, San Francisco, CA, United States
Salary
169,000 - 226,000 USD / yearly
Skills Required
- Pythonintermediate
- SQLintermediate
- Pandasintermediate
- scikit-learnintermediate
- XGBoostintermediate
- Keras/Tensorflowintermediate
- machine learningintermediate
- analytical skillsintermediate
- problem-solvingintermediate
- communicationintermediate
- collaborationintermediate
Required Qualifications
- Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience (experience)
- Have 3+ years of industry experience using machine learning to solve real-world problems with large datasets (experience)
- Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools (experience)
- Have strong analytical skills and problem-solving ability (experience)
- Are a strong communicator who can collaborate with diverse stakeholders across all levels (experience)
Preferred Qualifications
- Knowledge of deep learning frameworks and methodologies (experience)
- Experience in applying machine learning and optimization techniques to solve marketplace problems (experience)
Responsibilities
- Design, develop, and deploy machine learning solutions to tackle practical challenges in the 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 - Logistics
Instacart
Senior Machine Learning Engineer - Logistics
Job Description
Responsibilities
- Design, develop, and deploy machine learning solutions to tackle practical challenges in the 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 (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience
- Have 3+ years of industry experience using machine learning to solve real-world problems with large datasets
- Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
- Have strong analytical skills and problem-solving ability
- Are a strong communicator who can collaborate with diverse stakeholders across all levels
Preferred Qualifications
- Knowledge of deep learning frameworks and methodologies
- Experience in applying machine learning and optimization techniques to solve marketplace problems
Required Skills
- Python
- SQL
- Pandas
- scikit-learn
- XGBoost
- Keras/Tensorflow
- machine learning
- analytical skills
- problem-solving
- communication
- collaboration
Salary Range
$169000 - $226000 USD
Locations
- San Francisco, CA, United States, San Francisco, CA, United States
Salary
169,000 - 226,000 USD / yearly
Skills Required
- Pythonintermediate
- SQLintermediate
- Pandasintermediate
- scikit-learnintermediate
- XGBoostintermediate
- Keras/Tensorflowintermediate
- machine learningintermediate
- analytical skillsintermediate
- problem-solvingintermediate
- communicationintermediate
- collaborationintermediate
Required Qualifications
- Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience (experience)
- Have 3+ years of industry experience using machine learning to solve real-world problems with large datasets (experience)
- Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools (experience)
- Have strong analytical skills and problem-solving ability (experience)
- Are a strong communicator who can collaborate with diverse stakeholders across all levels (experience)
Preferred Qualifications
- Knowledge of deep learning frameworks and methodologies (experience)
- Experience in applying machine learning and optimization techniques to solve marketplace problems (experience)
Responsibilities
- Design, develop, and deploy machine learning solutions to tackle practical challenges in the 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