
About Instacart
Fast grocery delivery from your favorite stores
Key Highlights
- Valuation of $39 billion with $2.4 billion raised
- Partners with over 40,000 stores including Costco and Kroger
- Headquartered in San Francisco, California
- Serves millions of customers across the U.S. and Canada
Instacart is a leading grocery delivery service headquartered in San Francisco, California, serving millions of customers across the U.S. and Canada. Partnering with major retailers like Costco, Kroger, and Publix, Instacart offers same-day delivery from over 40,000 stores. The company has raised ov...
π Benefits
Instacart offers competitive salaries, equity options, flexible PTO, and a remote work policy that supports work-life balance. Employees also benefit ...
π Culture
Instacart fosters a customer-centric culture focused on innovation and efficiency in grocery delivery. The company emphasizes data-driven decision-mak...

Machine Learning Engineer β’ Senior
Instacart β’ United States - Remote
Skills & Technologies
Overview
Instacart is hiring a Senior Machine Learning Engineer for their Caper team to develop innovative solutions for fraud detection. You'll work with Python, TensorFlow, and Keras to enhance the anti-theft strategy. This position requires significant experience in machine learning and data analysis.
Job Description
Who you are
You have 5+ years of experience in machine learning engineering, with a strong background in developing and deploying machine learning models. Your expertise in Python and frameworks like TensorFlow and Keras allows you to create robust solutions that address complex challenges in fraud detection. You are comfortable working with large datasets and have a keen eye for data analysis, ensuring that your models are both accurate and efficient.
You thrive in collaborative environments and enjoy working with cross-functional teams to drive projects forward. Your strong communication skills enable you to articulate complex technical concepts to non-technical stakeholders, fostering a shared understanding of project goals and outcomes. You are passionate about leveraging AI to improve user experiences and are always eager to learn about the latest advancements in the field.
Desirable
Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with computer vision techniques. You have a solid understanding of data pipelines and are skilled in using tools for data preprocessing and feature engineering. A background in retail or e-commerce is advantageous, as it provides context for the challenges faced in the grocery industry.
What you'll do
As a Senior Machine Learning Engineer at Instacart, you will play a pivotal role in shaping the future of our fraud detection systems. You will design and implement machine learning models that enhance our multi-modal anti-theft strategy, ensuring that our solutions are both effective and scalable. Collaborating closely with the AI and CV team, you will contribute to the development of innovative technologies that improve the shopping experience for our customers.
You will be responsible for conducting experiments to validate model performance and iterating on your designs based on feedback and results. Your role will involve analyzing data to identify trends and patterns that inform model improvements, as well as collaborating with data engineers to ensure seamless integration of your models into production systems. You will also mentor junior engineers, sharing your knowledge and expertise to help them grow in their roles.
What we offer
Instacart provides a flexible work environment, allowing you to choose where you do your best workβwhether from home, an office, or your favorite coffee shop. We believe in fostering a strong community among our employees through regular in-person events and team-building activities. Our compensation package includes a competitive salary, equity grants, and comprehensive benefits to support your well-being and professional growth. Join us in transforming the grocery industry and making a meaningful impact on the lives of millions of people.
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