Senior Machine Learning Engineer - Content AI/Recommendations

January 17

πŸ„ California – Remote

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⛰️ Colorado – Remote

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+17 more states

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πŸ’΅ $149k - $199k / year

⏰ Full Time

🟠 Senior

πŸ€– Machine Learning Engineer

πŸ¦… H1B Visa Sponsor

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Logo of Instacart

Instacart

Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.

Grocery Delivery β€’ online grocery

1001 - 5000 employees

Founded 2012

πŸ›οΈ eCommerce

πŸš— Transport

πŸ›’ Retail

πŸ’° $232M Venture Round on 2021-11

πŸ“‹ Description

β€’ 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. β€’ You will be designing, developing, testing, and deploying machine learning models focused on recommendations and ranking. β€’ You will build scalable ML services to facilitate the deployment of models at a large scale. β€’ 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. β€’ You will stay at the forefront of machine learning advances, including generative AI, LLMs, and innovative recommendation technologies. β€’ You will collaborate with software engineers and product managers to define and influence features that address customer challenges.

🎯 Requirements

β€’ Advanced degree (Master’s or PhD) in AI / Machine Learning, or 3+ years of industry experience in machine learning. β€’ 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. β€’ Strong analytical skills and a proven ability to deploy ML models in production environments with tangible business impact. β€’ Self-motivation and a strong sense of ownership. β€’ 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. β€’ Expertise in deep learning frameworks, generative AI, or LLMs. β€’ Specialized knowledge in personalization, recommendation systems, learning-to-rank or NLP technologies. β€’ Nice to have: Experience with training large-scale models and model deployment on cloud services (Docker, AWS/GCP/Azure).

πŸ–οΈ Benefits

β€’ Highly market-competitive compensation β€’ Eligible for a new hire equity grant β€’ Annual refresh grants

Apply Now

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