Senior Machine Learning Engineer

Overview

We are looking for experienced Senior Machine Learning Engineers to solve challenging problems like enhancing real-time recommendation algorithms, designing feed ranking systems, and improving personalized discovery. Your work will directly impact initiatives such as replacement recommendations, contextual discovery suggestions, and home feed ranking, driving meaningful improvements in our customer experience.

About the Job

• You will be designing, developing, testing, and deploying machine learning models focused on recommendations and ranking.
• You will build scalable ML services to facilitate the deployment of models at a large scale.
• You will take ownership of the entire development lifecycle of machine learning solutions, from ideation and design to deployment and maintenance, ensuring delivery with speed and efficiency.
• You will stay at the forefront of machine learning advances, including generative AI, LLMs, and innovative recommendation technologies.
• You will collaborate with software engineers and product managers to define and influence features that address customer challenges.

About You

Minimum Qualifications:

• Advanced degree (Master’s or PhD) in AI / Machine Learning, or 3+ years of industry experience in machine learning.
• 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.
• Strong analytical skills and a proven ability to deploy ML models in production environments with tangible business impact.
• Self-motivation and a strong sense of ownership.

Preferred Qualifications:

• Advanced degree (Master’s or PhD) in AI / Machine Learning with 5+ years of industry experience applying machine learning to real-world, large-scale datasets.
• Expertise in deep learning frameworks, generative AI, or LLMs.
• Specialized knowledge in personalization, recommendation systems, learning-to-rank or NLP technologies.
• Nice to have: Experience with training large-scale models and model deployment on cloud services (Docker, AWS/GCP/Azure).
• 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.
• Strong analytical skills and a proven ability to deploy ML models in production environments with tangible business impact.
• Self-motivation and a strong sense of ownership.

Why Join Us?

At Instacart, we prioritize ownership, customer focus, and fast-paced innovation. Join our team and play a pivotal role in shaping the future of online grocery shopping through impactful machine learning solutions.