Machine Learning Engineer

FetchJobs.co; United States; Hybrid; USD 130,000 - 185,000; Full time

Benefits offered by this job

competitive compensation packages

comprehensive health benefits

wellness programs

flexible work environment allowing you

continuous learning and development

paid time off

parental leave

employee resource groups

Job summary

Instacart is seeking a Machine Learning Engineer to enhance marketplace systems with innovative ML solutions. You will work with senior engineers, data scientists, and product leaders to develop models that improve recommendations, delivery routes, and dynamic pricing, impacting millions of users.

You’ll engage in end-to-end ML projects—from data collection and feature engineering to model training, evaluation, and deployment—in a fast-paced, collaborative environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience in developing and deploying machine learning models in production environments.
• Strong programming skills in Python, with libraries such as TensorFlow, PyTorch, scikit-learn, or similar frameworks.
• Solid understanding of algorithms, data structures, and statistical methods.
• Experience working with large datasets and distributed computing frameworks like Spark or Hadoop is a plus.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
• Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.

Responsibilities

• Design, develop, and implement machine learning models to optimize various aspects of the marketplace system.
• Collaborate with cross-functional teams to identify opportunities where machine learning can add value.
• Perform data analysis and feature engineering to prepare datasets for modeling.
• Evaluate model performance and iterate to improve accuracy and efficiency.
• Deploy models into production environments and monitor their performance over time.
• Stay updated with the latest research and advancements in machine learning and artificial intelligence.
• Document processes, results, and best practices to ensure reproducibility and knowledge sharing within the team.

Skills

Python programming

Strong communication

Team collaboration

Education

Bachelor's or Master’s degree in Computer Science

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

Job description

About The Company

We’re transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

About The Role

As a Machine Learning Engineer at Instacart, you will play a pivotal role in enhancing our marketplace systems through innovative machine learning solutions. You will work closely with senior engineers, data scientists, and product leaders to develop models that improve the efficiency, accuracy, and personalization of our platform. Your work will directly impact the shopping experience for millions of users by enabling smarter recommendations, optimized delivery routes, and dynamic pricing strategies.

This role offers a unique opportunity to apply cutting-edge machine learning techniques to real-world problems in a fast-paced, collaborative environment. You will be involved in the entire lifecycle of machine learning projects—from data collection and feature engineering to model training, evaluation, and deployment. Your contributions will help us stay ahead in a competitive market and continue providing exceptional service to our customers and partners.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience in developing and deploying machine learning models in production environments.
• Strong programming skills in Python, with experience using libraries such as TensorFlow, PyTorch, scikit-learn, or similar frameworks.
• Solid understanding of algorithms, data structures, and statistical methods.
• Experience working with large datasets and distributed computing frameworks like Spark or Hadoop is a plus.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
• Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.

Responsibilities

• Design, develop, and implement machine learning models to optimize various aspects of the marketplace system.
• Collaborate with cross-functional teams to identify opportunities where machine learning can add value.
• Perform data analysis and feature engineering to prepare datasets for modeling.
• Evaluate model performance and iterate to improve accuracy and efficiency.
• Deploy models into production environments and monitor their performance over time.
• Stay updated with the latest research and advancements in machine learning and artificial intelligence.
• Document processes, results, and best practices to ensure reproducibility and knowledge sharing within the team.

Benefits

• competitive compensation packages
• comprehensive health benefits
• wellness programs
• flexible work environment allowing you to choose where you work best, whether remotely or in‑office
• opportunities for continuous learning and development through training programs, conferences, and mentorship initiatives
• paid time off
• parental leave
• employee resource groups that foster an inclusive and collaborative culture

Equal Opportunity

Instacart is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, disability, or any other protected status. We believe that diverse teams foster innovation and drive better results, and we are dedicated to providing a workplace where everyone can thrive and contribute to our mission of transforming the grocery industry.