Senior Machine Learning Engineer, Economist
Instacart · Canada
What the posting says
Each fact carries its state:Statedfound in the postingConflictstwo statements disagree, both quotedNot mentionedthe posting does not say
- PayStated
- CAD 180,000–CAD 190,000 a year
- Employment typeStated
- Full time
- Work arrangementStated
- Remote OK
- EducationStated
- ['postgraduate degree']
Not mentioned in this posting
“Not mentioned” means the posting does not say. It is not a no. You could ask the recruiter.
- ShiftNot mentioned
- The posting does not say
- ExperienceNot mentioned
- The posting does not say
- Visa sponsorshipNot mentioned
- The posting does not say
Requirements, each with its sentence from the posting
These are the employer’s words. The index does not judge whether you meet them.
- Master's or PhD in Economics or related fieldrequired
Graduate Degree (Masters or PhD) in Economics or a closely related field
from the posting - Economic theory and applied econometricsrequired
A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one
from the posting - Causal inference methodologiesrequired
Experience applying causal inference methodologies to both observational and experimental datasets
from the posting - Machine learning algorithms and techniquesrequired
An understanding of machine learning algorithms and techniques
from the posting - Pythonrequired
Strong programming skills (Python) and fluency in data manipulation (SQL, Pandas)
from the posting - SQL and Pandasrequired
fluency in data manipulation (SQL, Pandas)
from the posting - scikit-learn and XGBoostrequired
machine learning tools (e.g., scikit-learn, XGBoost)
from the posting - Communication skillsrequired
Excellent communication skills (both verbal and written)
from the posting - Self-motivation and ownershiprequired
Self-motivation and a strong sense of ownership
from the posting - Industry experience in machine learningrequired
1-3 years of industry experience in a similar position
from the posting - Production machine learning deploymentrequired
Experience putting machine learning models into production environments
from the posting - Cloud computing and ML infrastructurerequired
Experience with cloud computing and related ML infrastructure
from the posting - PhD in Economicspreferred
A PhD in Economics or a closely related field with a focus on data-intense problems
from the posting - Intern experience in related rolespreferred
Intern experience in related roles
from the posting - Large language models and generative AIpreferred
Experience with large language models and generative AI, both on the algorithm side as well as a day-to-day tool
from the posting - Uplift modeling and heterogeneous treatment effectspreferred
Experience with uplift modeling, contextual bandits, and/or heterogeneous treatment effect estimation
from the posting
Read the full posting as the employer wrote it
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Overview
As a machine learning engineer in the Economics team, you will build state-of-the-art systems that blend rigorous economic thought with sophisticated machine learning algorithms to tackle some of the company's most challenging problems. Working in a horizontal team, you will have the opportunity to collaborate closely with partners across multiple functions to operate on a highly diverse set of problems, contributing both economic and engineering expertise in a fast-paced environment filled with exciting opportunities for technically-minded economists.
The Economics team at Instacart works on a range of interesting and challenging problems across our platform, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include matching and logistics, online advertising, uplift and long-term value modeling, and general causal inference. Check out this blog post to learn more.
About the Job
- Design, develop, and deploy machine learning solutions to tackle the many economic challenges in our complex marketplace.
- Collaborate closely with product managers, data scientists, and other engineers to deeply understand business needs and create impactful solutions.
- Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
- Be an active member of the Economics team, sharing learnings, best practices, and research across domains while refining and advancing our algorithms.
About You
We are open to hiring either a Machine Learning Engineer II, Economist (fresh PhD graduate) or a Senior Machine Learning Engineer I, Economist (post-PhD industry experience).
Minimum Qualifications
- Graduate Degree (Masters or PhD) in Economics or a closely related field
- A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one.
- Experience applying causal inference methodologies to both observational and experimental datasets.
- An understanding of machine learning algorithms and techniques.
- Strong programming skills (Python) and fluency in data manipulation (SQL, Pandas) and machine learning tools (e.g., scikit-learn, XGBoost).
- Excellent communication skills (both verbal and written).
- Self-motivation and a strong sense of ownership.
For Senior Machine Learning Engineer I, Economist hires, we also expect:
- 1-3 years of industry experience in a similar position.
- Experience putting machine learning models into production environments.
- Experience with cloud computing and related ML infrastructure.
Preferred Qualifications
- A PhD in Economics or a closely related field with a focus on data-intense problems.
- Intern experience in related roles.
- Experience with large language models and generative AI, both on the algorithm side as well as a day-to-day tool.
- Experience with uplift modeling, contextual bandits, and/or heterogeneous treatment effect estimation.
#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
The posting text is reproduced as the employer wrote it; the index adds nothing to it.