Time since we first saw it
Day 68
Similar jobs usually come down between day 6 and day 69.
From 4,347 similar postings that came down. Coming down is not always a hire.
Senior Machine Learning Engineer, Economist
Canada - Remote (ON, AB, BC, or NS Only)
Live, first seen by us 68 days ago- Pay
- Pay not listed
- Work setting
RemoteLocation limits apply — work setting source
#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.
Listed location: Canada - Remote (ON, AB, BC, or NS Only)
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDesign, develop, and deploy machine learning solutions for marketplace economic problems
Collaborate with product managers, data scientists, and engineers on business needs
Refine and advance algorithms and models to improve operational efficiency
Share learnings, best practices, and research across the Economics team
From the employer’s posting
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.
sharing learnings, best practices, and research across domains
What you’ll bring
All qualificationsCore experience
- Experience applying causal inference methodologies to both observational and experimental datasets.
- Excellent communication skills (both verbal and written).
- 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 experience
- 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.
Qualification wording
Experience applying causal inference methodologies to both observational and experimental datasets.
Excellent communication skills (both verbal and written).
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.
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.
Education & alternatives
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
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.
Preferred Qualifications - A PhD in Economics or a closely related field with a focus on data-intense problems. - Intern experience in related roles.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 27, 202668 days ago
- Recorded sightings
- 92
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Instacart is hiring
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is steady
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- pandas
- scikit-learn
- XGBoost
Where the posting names them
- 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).
Your next step
Complete your application on instacart.careers. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Instacart posted this job before?
Yes. We’ve followed one other Senior Machine Learning Engineer, Economist job there since August 2026. It is still up.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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.
CAN
$180,000—$190,000 CAD
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Canada - Remote (ON, AB, BC, or NS Only)
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.