Software Engineer I, Applied Machine Learning

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Position Overview:

Have you ever had an online order canceled because something was out of stock or wasted time going to a store to look at something the website said was available only to find out that it was not? This is the problem we are trying to help our retail customers solve to maximize shopper experience and on shelf availability.

As a Software Engineer, Applied ML on the Insights team, you will be part of a fast-paced team that is pioneering products built on our BrainOS platform to revolutionize the Retail Inventory Analytics Space. You have the ability to quickly pick up new technologies and have a bias for delivering incremental customer value. 

Our robotic solutions integrate multiple hardware and software disciplines in order to provide scalable solutions for our customers. You will have the opportunity to apply AI, ML and Statistical methods to build and iterate on detection models to extract actionable insights from sensor data including but not limited to object and text detection and recognition in wide ranging environments.

Essential Job Functions:

• Develop and contribute to our Python code base to provide new actionable insights for our customers.
• Leverage basic understanding and application of machine learning concepts and tool chains to deliver high confidence insights from data streams from our robot data capture and cloud processing pipelines
• Practice an ownership mindset where writing automated test cases ensure future release and feature quality as well as development productivity.
• Contribute to the review, testing, and deployment of new features with a data driven approach to evaluating success criteria.
• Help resolve production and customers issues and engineer long-term solutions informed by identifying systematic understanding of root cause.
• Encourage and seed technical discussions by outlining pros and cons of multiple approaches with a point of view and a bias for action.

Education and/or Work Experience Requirements: 

• BS or MS in Data Science or applicable engineering discipline.
• 1 years of demonstrated experience in software development involving the training, refining and application of detection models to extract insights from data.

Required Knowledge, Skills, Abilities, and Other Characteristics: 

• ​​Experience with ML coding tools and workflows, i.e. pandas, pytorch, keras, jupyter notebooks.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Grafana, Looker).
• Knowledge of SQL and database management.
• Demonstrated proficiency with Python production level coding.
• Curiosity and drive to gain subject matter expertise in specific functional areas while keeping aware of the larger landscape of customer use case and value.
• Ability to analytically recommend a path forward where this is technical ambiguity.
• Clear and concise communication (verbal and written) skills.

Things that Make a Difference: 

• Experience in autonomous vehicles, robotics, or related industry.
• Experience with object detection and recognition.
• Experience with GPT and LLM applications
• Experience in IOT, Data Analytics and Machine Learning.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.