Personalization & Recommendations, Machine Learning Engineer (Staff/Senior)
San Francisco, CA - Remote
Applications have closed
Instacart
Order same-day delivery or pickup from more than 300 retailers and grocers. Download the Instacart app or start shopping online now with Instacart to get groceries, alcohol, home essentials, and more delivered to you <b>in as fast as 1 hour</b>...We're transforming the grocery industry
Instacart is the North American leader in online grocery and one of the fastest-growing companies in e-commerce. Since 2012, we’ve been working towards creating a world where everyone has access to the food they love and more time to enjoy it together.
Groceries delivered to your door in as little as an hour. It seems simple, right? Well, it’s more complex than that. From re-routing deliveries during snowstorms, to connecting customers with coupons and deals for their favorite brands, to updating over half a billion grocery data lines every night...our efforts bring Instacart closer to being the operating system for the grocery industry.
OVERVIEW
ABOUT THE ROLE - We are hiring Machine Learning engineers to train and productionize algorithms for recommending products that the customer is interested in purchasing. We utilize innovative techniques, including modeling customers’ long-term interests, collaborative filtering, and session context. These allow us to make personalized and contextual recommendations that are relevant to each customer and improve the customer’s experience by making shopping more efficient and by surfacing novel items of interest.
ABOUT THE TEAM - We are hiring Machine Learning engineers to train and productionize algorithms for recommending products that the customer is interested in purchasing. We utilize innovative techniques, including modeling customers’ long-term interests, collaborative filtering, and session context. These allow us to make personalized and contextual recommendations that are relevant to each customer and improve the customer’s experience by making shopping more efficient and by surfacing novel items of interest.
ABOUT THE JOB
- This is an individual contributor role where you will be responsible for driving ranking problems end-to-end, including scoping the problem with the product, creating and evaluating ranking metrics, proposing solutions, training models, and productionizing the model in conjunction with Machine Learning Infrastructure and Product Engineering teams.
- You will use your machine learning knowledge and current recommender system techniques to iterate and continually improve ranking metrics.
- You will create the roadmap for the ranking problems you work on, and prioritize the work that best aligns with customer impact and business objectives.
- You will use strong engineering and data science skills to debug data, to debug systems, and to build scalable approaches that tackle multiple ranking use cases.
- You will be a thought leader in your field, and mentor junior engineers on the team.
ABOUT YOU
MINIMUM QUALIFICATIONS
- This is an individual contributor role where you will be responsible for driving ranking problems end-to-end, including scoping the problem with the product, creating and evaluating ranking metrics, proposing solutions, training models, and productionizing the model in conjunction with Machine Learning Infrastructure and Product Engineering teams.
- You will use your machine learning knowledge and current recommender system techniques to iterate and continually improve ranking metrics.
- You will create the roadmap for the ranking problems you work on, and prioritize the work that best aligns with customer impact and business objectives.
- You will use strong engineering and data science skills to debug data, to debug systems, and to build scalable approaches that tackle multiple ranking use cases.
- You will be a thought leader in your field, and mentor junior engineers on the team.
PREFERRED QUALIFICATIONS
- A graduate degree in artificial intelligence, machine learning or equivalent self-study and experience
- Strong communication skills, and can collaborate with diverse multi-functional partners across all levels
- Practical experience training classification and/or learning to rank models
- Experience training deep neural networks (DNN) and have knowledge of techniques such as word2vec, BERT, RNN/LSTM/GRU
- Strong programming skills, and experience in Python, data manipulation (SQL, Spark, Pandas), and popular machine learning tools (scikit-learn, XGBoost, Keras/Tensorflow) or equivalent experience
#LI-Remote
Accommodations & Accessibility
At Instacart, we strive to create an accessible and inclusive experience for all candidates. If you need assistance submitting an application through our career site due to a disability, please submit an Accommodations Request Form and someone from our team will reach out soon to see how we may be able to assist.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BERT Classification E-commerce Engineering Keras Machine Learning Pandas Python RNN Scikit-learn Spark SQL TensorFlow XGBoost
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