Senior Software Engineer, Data Science
Brain Agency - San Diego, CA
posted about 2 months ago
About the position
Brain Corp is a San Diego-based AI company focused on creating transformative core technology for the robotics industry. Our mission is to develop autonomous technology that enhances real-world operations. Our solutions assist retailers in ensuring that products are available on shelves at the right price and in a clean environment. Through the BrainOS® Robotics Platform, we power the largest global fleet of Autonomous Mobile Robots (AMRs) in commercial public spaces, delivering efficient automated solutions for commercial floor cleaning and inventory management. Currently, we operate over 30,000 AMRs, making us the largest fleet of its kind worldwide. Our funding comes from notable investors such as the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures. As a Senior Software Engineer, Data Science on the Insights team, you will join a dynamic group dedicated to pioneering products on our BrainOS platform aimed at revolutionizing Retail Inventory Analytics. You will leverage your ability to quickly learn new technologies and focus on delivering incremental customer value. Our robotic solutions integrate various hardware and software disciplines to provide scalable solutions for our clients. In this role, you will apply AI, ML, and statistical methods to develop and refine detection models that extract actionable insights from sensor data, including object and text detection and recognition across diverse environments.
Responsibilities
- Develop and contribute to our Python code base to provide new actionable insights for our customers.
- Leverage deep 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 ensures 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 customer 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.
- Take responsibility for data engineering pipeline and data management tasks where required.
Requirements
- BS or MS in Data Science or applicable engineering discipline.
- 5 years of demonstrated experience in software development involving the training, refining, and application of detection models to extract insights from data.
- 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 there is technical ambiguity.
- Clear and concise communication (verbal and written) skills.
Nice-to-haves
- 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.
Benefits
- 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) including various 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
- 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 Company
