Software Engineer II, Data Science

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 Summary:

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 II Engineer, Data Science on the Applied Machine Learning 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 solving customer problems.

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 autonomously captured robot data. 

Essential Job Functions:

• Develop and contribute to our Python code base to provide new actionable insights for our customers.
• Leverage 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.
• Demonstrate an ownership mindset where writing automated test cases ensure future release and feature quality as well as development productivity.
• Raise the bar by example in review, testing, and deployment of new features with a data driven approach to evaluating success criteria.
• Lead resolution of production and customers issues and engineer long-term solutions informed by identifying systematic understanding of root cause.
• Encourage and foster technical discussions by outlining pros and cons of multiple approaches with a point of view and a bias for action.
• Initiative to take responsibility for data engineering pipeline and data management type tasks where required.

Education and/or Work Experience Requirements:

• BS or MS in Data Science or applicable engineering discipline.
• 2+ 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.
• Experience with data visualization tools (e.g., Tableau, Power BI, Grafana, Looker).
• Experience with SQL and database management.
• Experience 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.
• This role is onsite at our San Diego office. Candidates must live in San Diego or be willing to relocate. No remote work is offered for this job.

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.

Salary Range:

The anticipated salary for candidates who will work in San Diego, California is $125,000. This is a non-negotiable salary for all Software Engineer’s at this level. In addition to base pay, our competitive total rewards package consists of:

• A discretionary annual target bonus
• Stock options
• 401(k) plan with match (no waiting period and immediate vesting)
• Comprehensive suite of insurance benefits for employees (and their families) to include a variety of medical plan options (including an HSA with employer contribution), dental, vision, life and disability insurance, Employee Assistance Program (EAP), Legal/Identity support plans, pet insurance.
• Access to Flexible Spending Accounts (Medical and Dependent Care)
• Generous paid time off including flexible vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown

Additional Perks include:

• Daily on-site lunch available in the San Diego office
• On-campus gym including pool and tennis courts in the San Diego office
• Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events
• Internal continuous learning events
• Opportunities to share your own interests and hobbies with the C