Data Pipeline Solutions Engineer, Simbe
$80-120k
Autonomous shelf auditing and analytics solution
Be an early applicant
Autonomous shelf auditing and analytics solution
21-100 employees
Be an early applicant
$80-120k
21-100 employees
Company mission
To leverage AI and robotics in order to elevate the performance of retailers with real-time insights into inventory and operations.
Role
Who you are
- The ideal candidate will have a strong foundation in Python, data analysis, and problem-solving, with a passion for working in a collaborative, fast-paced environment
- Technical qualifications: BS or MS in Computer Science or related field highly recommended but not required
- Proficient in Python programming, with experience in building and optimizing data pipelines
- Strong analytical skills with solid experience in data sleuthing, utilizing pandas and Excel for data manipulation and analysis
- Familiarity with Linux operating systems, comfortable using the terminal for routine tasks and troubleshooting
- Experience with web programming is a plus but not required
- Experience & Abilities: Ability to work effectively in a cross-functional team environment, collaborating with computer vision, software, data, and customer-facing teams
- Strong problem-solving skills, with the ability to troubleshoot complex issues and develop efficient solutions
- Attention to detail and commitment to maintaining data integrity and pipeline performance
- Experience in neural network training and data evaluation for machine learning tasks is a plus
- Soft Skills: Communication skills with the ability to convey complex technical information to non-technical stakeholders
- Ability to prioritize tasks and adapt quickly to changing priorities and customer needs
- Autonomous and independent, with a sense of ownership and accountability for assigned projects
What the job involves
- The Data Pipeline Solutions Engineer plays a critical role in the development and deployment of data solutions for new and existing customers, collaborating closely with cross-functional teams to ensure seamless integration and optimal performance of data pipelines and robot configurations across diverse environments
- New Customer Development & Deployment: Lead the configuration and tuning of the Simbe data pipeline for new customers
- Collaborate with the sales and implementation teams to understand customer requirements, ensuring alignment between customer needs and our software solutions
- Support for Existing Customers: Support existing customers in deploying additional robots by adjusting and fine-tuning data pipelines and configurations to accommodate new robot integrations
- Collaborate with customer success teams to understand the evolving needs of existing customers and ensure the smooth scaling of their systems
- Troubleshoot and resolve any data pipeline or robot configuration issues that arise during the deployment of additional robots
- Software Releases & Testing: Manage software releases and testing processes for meeting customer needs, ensuring all necessary updates and bug fixes are incorporated
- Perform rigorous testing to ensure that all data pipelines operate reliably and efficiently in new environments
- Audit & Data Quality Assurance (QA): Support data audits and maintain high standards for data quality throughout the deployment lifecycle.Identify and resolve issues related to data integrity and pipeline performance, ensuring optimal quality for customers
- Neural Network Training & Evaluation: Assist in gathering data, training models, and evaluating neural networks for improved pipeline performance
- Contribute to optimizing neural network algorithms for better data processing, automation, and overall system efficacy
- Tooling Improvement: Develop and enhance tooling for better management of new deployments, improving operational efficiency and reducing deployment time
- Create and maintain internal tools to streamline workflows, automate tasks, and facilitate smoother deployment and testing processes
Our take
Inventory management has never been the highlight of working in retail - it's a task that often feels like a chore. However, given its nature as a large-scale data collection and management endeavour, it's undeniably ripe for automation. Something Simbe Robotics is taking advantage of through its autonomous shelf auditing and analytics solution.
Distinguishing itself from competitors through its focus on front-of-store operations. Its automation solution enables retail associates to maintain optimal stocking levels, ensure product placement accuracy, and display correct price tags, all while enhancing the overall shopping experience.
Its accomplishments over the past year, including servicing top global retailers and processing billions of shelf photos and product analyses, showcase the company's commitment to delivering real value in the retail sector. Along with recent funding under its belt, Simbe is poised to expand its presence in the retail industry, sharing its vision to enhance the retail experience through AI and robotics with more partners worldwide.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 3 rounds)
Oct 2024
$50m
SERIES C
Jul 2023
$28m
SERIES B
Total funding: $104m
Company benefits
- Comprehensive health plans
- Culture of learning
- Flexible time off
Company HQ
Oyster Point, South San Francisco, CA
Articles
Leadership
Brad Bogolea
(CEO)Previously Co-Founded i-conserve where they served as CEO. They then worked at Greenbox Technology and Silver Spring Networks as Product Manager before co-founding Simbe Robotics in 2013.
Mirza A. Shah
(CTO)Graduated from Penn State University with an M.S. in Computer Science and Engineering. They then went on to found the robotics company Emoto Robotics.
Jeff Gee
(CDO)Graduated from the Academy of Art University with an MFA in Industrial Design. Previously an Industrial Designer at Suitable Technologies and Willow Garage.
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