At a Glance
- Tasks: Design and deploy machine learning solutions to tackle economic challenges in our marketplace.
- Company: Join Instacart, a leader in transforming the grocery industry with innovative tech.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting challenges and career advancement opportunities.
- Why this job: Make a real impact by blending economics with cutting-edge machine learning technology.
- Qualifications: Graduate degree in Economics or related field; strong programming and communication skills required.
The predicted salary is between 135000 - 165000 $ per year.
We're transforming the grocery industry at Instacart, where 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. 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.
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
- General causal inference
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.
Senior Machine Learning Engineer in Winnipeg employer: EngineersOfAI
At Stripe, we pride ourselves on being an exceptional employer that fosters innovation and collaboration within our ML Infra team. Our vibrant work culture encourages continuous learning and growth, offering employees the chance to tackle meaningful challenges in machine learning infrastructure while enjoying competitive benefits and a supportive environment. Located in a dynamic tech hub, we provide unique opportunities for professional development and the chance to make a significant impact in the world of payment solutions.
