Senior Machine Learning Engineer

March 18

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Instacart

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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 • online grocery

1001 - 5000 employees

Founded 2012

🛍️ eCommerce

🚗 Transport

🛒 Retail

💰 $232M Venture Round on 2021-11

📋 Description

• Design, develop, and deploy advanced AI and machine learning solutions, including LLMs and neural networks, to solve complex challenges in our dynamic marketplace environment. • Architect and implement state-of-the-art deep learning systems that leverage transformer models, multimodal AI, and generative techniques to create intelligent, adaptive solutions. • Collaborate closely with product managers, data scientists, and backend engineers to translate business requirements into cutting-edge AI applications that deliver measurable impact. • Pioneer the application of foundation models, prompt engineering, and fine-tuning methodologies to create AI systems that understand context and user intent at unprecedented levels. • Engage with diverse stakeholders to ensure our AI solutions are ethically implemented, well-integrated with existing systems, and fully aligned with strategic business objectives. • Drive continuous innovation in our AI infrastructure by researching, testing, and implementing the latest advancements in machine learning, from embeddings and vector databases to reinforcement learning from human feedback (RLHF). • Push the boundaries of operational efficiency through intelligent automation, predictive modeling, and algorithmic optimization powered by our custom-trained AI systems.

🎯 Requirements

• Have a graduate degree (masters or PhD) in artificial intelligence, machine learning or equivalent self study and experience • Have 7+ years of industry experience using machine learning to solve real-world problems with large datasets • Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools • Have strong analytical skills and problem-solving ability • Are a strong communicator who can collaborate with diverse stakeholders across all levels • Extensive expertise with modern deep learning frameworks (PyTorch, TensorFlow, JAX) and advanced LLM architectures including transformer models, attention mechanisms, and multimodal AI systems. • Demonstrated experience implementing and fine-tuning large language models, including prompt engineering, embedding techniques, and efficient inference optimization for production environments. • Strong foundation in AI fundamentals including neural network architectures, generative models, and foundation model adaptation methodologies like PEFT, LoRA, and RLHF. • Proven track record designing and deploying sophisticated ML/AI systems in production environments that drive measurable business impact through improved recommendations, search relevance, and user engagement metrics. • Experience optimizing AI model performance across the full stack, from model architecture and training workflows to distributed inference and serving infrastructure. • Self-motivated innovator with a strong sense of ownership who can navigate the rapidly evolving AI landscape, evaluate emerging techniques, and implement novel approaches to solve complex business challenges. • Passion for applying cutting-edge AI research to real-world applications and a keen understanding of the practical considerations in developing responsible, efficient AI systems at scale.

🏖️ Benefits

• Offers may vary based on many factors, such as candidate experience and skills required for the role. • Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.