[Hiring] Senior Machine Learning Engineer II, Marketing @Instacart

Role Description

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.

• Help design and build end-to-end machine learning solutions and optimization algorithms, with a particular focus on paid marketing.
• Work in small and cross-functional product teams, with great opportunities for growth and ownership of projects.
• 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.
• Develop high impact solutions to support Instacart's ambitious growth plans.
• 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.
• Have the freedom to suggest and drive organization-wide initiatives.

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.

Requirements

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

Benefits

• 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.
• Eligible for a new hire equity grant as well as annual refresh grants.