Computer Vision Software Intern
South San Francisco
Applications have closed
Simbe Robotics
Top retailers improve store performance and labor efficiency with our AI & robotics suite, proven to give market-leading product availability & price integrity.
In this internship, you will work with our Computer Vision and Machine Learning software engineering team for 3 months. The CVML team builds and maintains a world-class image processing pipeline that does autonomous object detection, OCR, counting, product recognition, 3D reconstruction, virtual tour creation, and much more. These images are collected by our autonomous robot called Tally(™) in retail stores. We are laser-focused on finding out what information contained in this data makes the lives of our customers easier and then delivering accurate data to them in a timely fashion.
Responsibilities- Maintaining and extending Simbe’s computer vision stack -- you will work on at least one major project during the internship period that will be presented to the entire organization at the end of the program
- Testing computer vision algorithms to solve new customer requirements and integrating them using sound software engineering practices into a production pipeline that processes hundreds of thousands of images daily.
- Thoroughly testing new code by writing new tests as well as maintaining old ones
- Strengthening our data collection and model training pipeline.
- Improving various aspects of the computer vision pipeline code.
Required Qualifications- Currently in university for BS, MS, or PhD in Computer Science or related field - candidates closer to graduation are given preference.
- Proficient in Python programming with knowledge of common data structures, algorithms, and software patterns core to the language.
- Understanding of C++ is a welcome bonus but not required.
- Experience working with well-structured Python projects (not just Untitled (1).ipynb)
- Understanding of when (always) and how to use version control (e.g. git)
- Candidates with existing code portfolios, personal coding projects outside of school, past internship experience, and/or outstanding academic performance tend to be given preference.
- Understanding of shell scripting (e.g. bash) is recommended but not required.
- Rudimentary experience working with Ubuntu or other Linux distributions.
- Respectful, strong opinions about text editors are always welcome.
Relocation and Time Frame- The internship requires relocation to the San Francisco Bay Area for the duration of the position and being present at our HQ in person daily, Monday through Friday.
- Start date and end date are flexible as long as candidates can commit to a minimum of 3 contiguous months. However, we prefer the standard Fall (September-December), Spring (January-May), and Summer (June-August) periods to align with university semesters so that all interns start roughly at the same time as a "class".This internship will give you valuable experience to help forge you into a professional computer vision software engineer. On completion of the internship, you will be ready to work on day one as a full-time software engineer on computer vision and machine learning projects. Exceptional interns will be given full-time position offers (if openings are available) with Simbe upon graduation.
Responsibilities- Maintaining and extending Simbe’s computer vision stack -- you will work on at least one major project during the internship period that will be presented to the entire organization at the end of the program
- Testing computer vision algorithms to solve new customer requirements and integrating them using sound software engineering practices into a production pipeline that processes hundreds of thousands of images daily.
- Thoroughly testing new code by writing new tests as well as maintaining old ones
- Strengthening our data collection and model training pipeline.
- Improving various aspects of the computer vision pipeline code.
Required Qualifications- Currently in university for BS, MS, or PhD in Computer Science or related field - candidates closer to graduation are given preference.
- Proficient in Python programming with knowledge of common data structures, algorithms, and software patterns core to the language.
- Understanding of C++ is a welcome bonus but not required.
- Experience working with well-structured Python projects (not just Untitled (1).ipynb)
- Understanding of when (always) and how to use version control (e.g. git)
- Candidates with existing code portfolios, personal coding projects outside of school, past internship experience, and/or outstanding academic performance tend to be given preference.
- Understanding of shell scripting (e.g. bash) is recommended but not required.
- Rudimentary experience working with Ubuntu or other Linux distributions.
- Respectful, strong opinions about text editors are always welcome.
Relocation and Time Frame- The internship requires relocation to the San Francisco Bay Area for the duration of the position and being present at our HQ in person daily, Monday through Friday.
- Start date and end date are flexible as long as candidates can commit to a minimum of 3 contiguous months. However, we prefer the standard Fall (September-December), Spring (January-May), and Summer (June-August) periods to align with university semesters so that all interns start roughly at the same time as a "class".This internship will give you valuable experience to help forge you into a professional computer vision software engineer. On completion of the internship, you will be ready to work on day one as a full-time software engineer on computer vision and machine learning projects. Exceptional interns will be given full-time position offers (if openings are available) with Simbe upon graduation.
Tags: 3D Reconstruction Computer Science Computer Vision Engineering Git Linux Machine Learning Model training OCR PhD Python Shell scripting Testing
Perks/benefits: Flex hours
Region:
North America
Country:
United States
Job stats:
95
40
0
Category:
Computer Vision Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Business Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs