Staff Machine Learning Engineer - Inventory Intelligence
Instacart
Staff Machine Learning Engineer - Inventory Intelligence
Job Description
Responsibilities
- Own end-to-end outcomes that require thinking across multiple models, data sources, and dynamical systems
- Develop strategic roadmap for modeling inventory dynamics in both high and low observation-density regimes
- Make appropriate technology choices depending on the maturity and nature of each problem
- Collaborate across teams to foster a unified approach to development, facilitating consensus and driving effective outcomes
- Directly contribute and execute on some projects, from inception to deployment and maintenance
- Supercharge and mentor teammates, introduce relevant advanced technologies, and build a culture of best practices for machine learning
Required Qualifications
- 7+ years of production ML experience, with a strong record of successful multi-project initiatives
- Proficiency in Python and either TensorFlow or PyTorch
- A solid foundation in testing, systems observability, and problem-solving
- Exceptional communication skills and the ability to lead and collaborate with a diverse set of functions across teams (SWEs, PMs, Product Engineers, etc.)
Preferred Qualifications
- Experience in building scalable solutions and architectures
- Experience in building net-new projects from inception to second generation
Required Skills
- production ML experience
- Python
- TensorFlow or PyTorch
- testing
- systems observability
- problem-solving
- communication skills
- leadership
- collaboration
Benefits
- highly market-competitive compensation
- new hire equity grant as well as annual refresh grants
Salary Range
$225000 - $300000 USD
Locations
- United States, United States (Remote)
Salary
225,000 - 300,000 USD / yearly
Skills Required
- production ML experienceintermediate
- Pythonintermediate
- TensorFlow or PyTorchintermediate
- testingintermediate
- systems observabilityintermediate
- problem-solvingintermediate
- communication skillsintermediate
- leadershipintermediate
- collaborationintermediate
Required Qualifications
- 7+ years of production ML experience, with a strong record of successful multi-project initiatives (experience)
- Proficiency in Python and either TensorFlow or PyTorch (experience)
- A solid foundation in testing, systems observability, and problem-solving (experience)
- Exceptional communication skills and the ability to lead and collaborate with a diverse set of functions across teams (SWEs, PMs, Product Engineers, etc.) (experience)
Preferred Qualifications
- Experience in building scalable solutions and architectures (experience)
- Experience in building net-new projects from inception to second generation (experience)
Responsibilities
- Own end-to-end outcomes that require thinking across multiple models, data sources, and dynamical systems
- Develop strategic roadmap for modeling inventory dynamics in both high and low observation-density regimes
- Make appropriate technology choices depending on the maturity and nature of each problem
- Collaborate across teams to foster a unified approach to development, facilitating consensus and driving effective outcomes
- Directly contribute and execute on some projects, from inception to deployment and maintenance
- Supercharge and mentor teammates, introduce relevant advanced technologies, and build a culture of best practices for machine learning
Benefits
- general: highly market-competitive compensation
- general: new hire equity grant as well as annual refresh grants
Tags & Categories
Staff Machine Learning Engineer - Inventory Intelligence
Instacart
Staff Machine Learning Engineer - Inventory Intelligence
Job Description
Responsibilities
- Own end-to-end outcomes that require thinking across multiple models, data sources, and dynamical systems
- Develop strategic roadmap for modeling inventory dynamics in both high and low observation-density regimes
- Make appropriate technology choices depending on the maturity and nature of each problem
- Collaborate across teams to foster a unified approach to development, facilitating consensus and driving effective outcomes
- Directly contribute and execute on some projects, from inception to deployment and maintenance
- Supercharge and mentor teammates, introduce relevant advanced technologies, and build a culture of best practices for machine learning
Required Qualifications
- 7+ years of production ML experience, with a strong record of successful multi-project initiatives
- Proficiency in Python and either TensorFlow or PyTorch
- A solid foundation in testing, systems observability, and problem-solving
- Exceptional communication skills and the ability to lead and collaborate with a diverse set of functions across teams (SWEs, PMs, Product Engineers, etc.)
Preferred Qualifications
- Experience in building scalable solutions and architectures
- Experience in building net-new projects from inception to second generation
Required Skills
- production ML experience
- Python
- TensorFlow or PyTorch
- testing
- systems observability
- problem-solving
- communication skills
- leadership
- collaboration
Benefits
- highly market-competitive compensation
- new hire equity grant as well as annual refresh grants
Salary Range
$225000 - $300000 USD
Locations
- United States, United States (Remote)
Salary
225,000 - 300,000 USD / yearly
Skills Required
- production ML experienceintermediate
- Pythonintermediate
- TensorFlow or PyTorchintermediate
- testingintermediate
- systems observabilityintermediate
- problem-solvingintermediate
- communication skillsintermediate
- leadershipintermediate
- collaborationintermediate
Required Qualifications
- 7+ years of production ML experience, with a strong record of successful multi-project initiatives (experience)
- Proficiency in Python and either TensorFlow or PyTorch (experience)
- A solid foundation in testing, systems observability, and problem-solving (experience)
- Exceptional communication skills and the ability to lead and collaborate with a diverse set of functions across teams (SWEs, PMs, Product Engineers, etc.) (experience)
Preferred Qualifications
- Experience in building scalable solutions and architectures (experience)
- Experience in building net-new projects from inception to second generation (experience)
Responsibilities
- Own end-to-end outcomes that require thinking across multiple models, data sources, and dynamical systems
- Develop strategic roadmap for modeling inventory dynamics in both high and low observation-density regimes
- Make appropriate technology choices depending on the maturity and nature of each problem
- Collaborate across teams to foster a unified approach to development, facilitating consensus and driving effective outcomes
- Directly contribute and execute on some projects, from inception to deployment and maintenance
- Supercharge and mentor teammates, introduce relevant advanced technologies, and build a culture of best practices for machine learning
Benefits
- general: highly market-competitive compensation
- general: new hire equity grant as well as annual refresh grants
Tags & Categories