Summary
Join Instacart's Ads Response Prediction team as a Machine Learning Engineer and collaborate with senior engineers and product leaders to develop and enhance Instacart's ads systems. You will leverage machine learning to improve ads selection, ranking, auction, and pricing across various consumer-facing pages. This role involves contributing to all stages of initiatives, from concept to implementation. The team focuses on creating a relevant and engaging ads experience for customers, optimizing the marketplace for advertisers and Instacart's revenue. The position offers a flexible remote work environment and competitive compensation and benefits, including equity grants.
Requirements
- Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, recommendation systems or equivalent self study and experience
- Have strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and Machine Learning (scikit-learn, XGBoost) and Deep Learning (Torch, Keras/Tensorflow) tools. Acquaintance or willing to learn GoLang
- Have strong analytical skills and problem-solving ability
- Are a strong communicator who can collaborate with diverse stakeholders across all levels
Responsibilities
- Design, develop, and deploy machine learning solutions including data pipelines, model architectures and serving integrations to tackle practical challenges in the ads organization
- Collaborate closely with product managers, data scientists, and infrastructure engineers to deeply understand business needs and create impactful ML applications
- Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals
- Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models
Preferred Qualifications
- Have 1-2 years of industry experience using machine learning to solve real-world problems with large datasets
- Knowledge of sequential modeling, Transformer architecture and generative retrieval
- Familiarity with LLM integrations, prompt engineering and productivity tooling
- Experience in building large scale online recommendation systems
Benefits
- Instacart provides highly market-competitive compensation and benefits in each location where our employees work
- This role is remote
- This role is eligible for a new hire equity grant as well as annual refresh grants
- CA, NY, CT, NJ $179,000 β $199,000 USD
- WA $172,000 β $191,000 USD
- OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $165,000 β $183,000 USD
- All other states $149,000 β $165,000 USD
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