Senior Indoor Location Engineer

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.

OVERVIEW

ABOUT THE ROLE- We are seeking a highly skilled and experienced Senior Indoor Location Engineer to join our dynamic team. As a key contributor to our research and development efforts, you will play a pivotal role in designing and building cutting-edge indoor location solutions by using sensor fusion and machine learning techniques. The ideal candidate will have a deep understanding of machine learning and sensor fusion, along with a passion for tackling complex problems and creating market-leading products.

ABOUT THE TEAM - The Indoor Location Team is dedicated to enabling robust and accurate indoor positioning technology to provide a magical grocery shopping experience.

ABOUT THE JOB

• Develop sensor fusion algorithms to enable robust and accurate indoor location in retail stores.
• Build efficient deployment flow, including mapping, data collection, model training, and distribution.
• Collaborate with cross-functional teams to integrate indoor location technology into our products and solutions.
• Conduct research and stay abreast of the latest advancements in the field to ensure our technology remains cutting-edge.
• Document and present research findings and development processes.

ABOUT YOU

Minimum Qualifications

• Strong technical background with an M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field.
• Minimum of 5 years of relevant experience in machine learning, sensor fusion, state estimation, or simultaneous localization and mapping (SLAM)
• Strong programming skills in Java (Kotlin), Python, or other programming languages.
• Proven track record of solving complex problems with real-world data.
• Willingness to learn new concepts and technologies
• Ability to work in a fast-paced, collaborative environment.
• Ability to travel to various locations (short trips within and outside of the U.S.)

Preferred Qualifications

• Publications or a strong portfolio of projects in related fields.
• Knowledge of inertial measurement unit (IMU).
• Knowledge of filtering and optimization algorithms.
• Knowledge of computer vision (CV) and computational geometry.

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

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. Please read more about our benefits offerings here.

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ

$198,000-$220,000 USD

WA

$190,000-$211,000 USD

OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI

$181,000-$202,000 USD

All other states

$165,000-$183,000 USD