Senior Machine Learning Engineer II, Marketing

Instacart; Canada; Remote; CAD 284,000 - 316,000; Full time

Job summary

A leading grocery delivery service is seeking economists and machine learning engineers. This remote role focuses on designing ML solutions for paid marketing, requiring a PhD or 3-5 years of experience in relevant fields. Candidates will collaborate in cross-functional teams and contribute to impactful projects. Base salary ranges from $203,000 to $225,000 USD, depending on location and experience.

Benefits

Market-competitive compensation

Equity grant eligibility

Comprehensive benefits

Qualifications

• PhD or 3-5 years in machine learning or economics roles.
• Deep expertise in marketing applications.
• Strong engineering skills in R or Python.

Responsibilities

• Design and build end-to-end machine learning solutions.
• Work in cross-functional product teams.
• Own the process from problem understanding to recommending solutions.

Skills

Paid marketing

Machine learning

Causal inference

Data manipulation (SQL, Pandas)

Machine learning tools (scikit-learn, Keras)

Education

PhD in Economics, Marketing, or Finance

Tools

R

Python

Docker

Job description

OVERVIEW

We are looking for economists and machine learning engineers to join our fast-moving team. The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making.

There is tremendous opportunity in front of us, and joining now gives you a chance to grow your career and interests as we succeed.

ABOUT THE ROLE

The ideal candidate for this role will have extensive applied experience in paid marketing (for example, incrementality estimation, experimentation, marketing mix models) and bring a combination of experience in both economics and machine learning. More senior candidates are also welcome to apply.

ABOUT THE TEAM

The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers\' decision-making. Core focus areas include pricing, online advertising, uplift and long term value modeling, and general causal inference.

ABOUT THE JOB

You will help design and build end-to-end machine learning solutions and optimization algorithms, with a particular focus on paid marketing. You will be working in small and cross-functional product teams, with great opportunities for growth and ownership of projects. You will be an active member of an internal community, including economists, data scientists, operations research scientists and machine learning engineers, sharing learnings, best practices and research across many domains. You will develop high impact solutions to support Instacart\'s ambitious growth plans. You will work closely with engineers, product managers, other teams, and both internal and external stakeholders, owning a large part of the process from problem understanding to recommending a solution and testing it in controlled experiments. You will have the freedom to suggest and drive organization-wide initiatives.

ABOUT YOU

MINIMUM QUALIFICATIONS

• PhD in Economics, Marketing, or Finance with focus on data-intense problems or 3-5 years of industry experience in machine learning or economics roles.
• Deep applied expertise in marketing applications, including MMMs, experimentation, and incrementality estimation.

• A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one.
• Expertise in causal inference with observational and experimental data.
• Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality.
• Willing and able to travel internationally based on job requirements.
• Self-motivation and a strong sense of ownership.

PREFERRED QUALIFICATIONS

• Experience with training large-scale models and model deployment on cloud services (Docker, AWS/GCP/Azure)
• Experience building full-stack, data-driven internal tooling.

COMPENSATION & BENEFITS

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

$203,000 — $225,000 USD