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Remote Computer Vision Postdoc Jobs in Chalmette, LA

Software Engineer II

New Orleans, LA · On-site +1

$95K - $105K/yr

The position requires a Master's degree or foreign equivalent degree in Computer Science ... Remote Work * Paid maternity and paternity leave All your information will be kept confidential ...

Software Engineer II

New Orleans, LA · On-site +1

$95K - $105K/yr

The position requires a Master's degree or foreign equivalent degree in Computer Science ... Remote Work * Paid maternity and paternity leave All your information will be kept confidential ...

Showing results 21-25

Remote Computer Vision Postdoc information

What is a remote computer vision postdoc?

A Remote Computer Vision Postdoc is a research position for individuals who have recently completed their Ph.D. and are specializing in the field of computer vision, all while working remotely. These postdoctoral researchers typically conduct advanced studies on topics such as image recognition, object detection, and machine learning algorithms, often collaborating with academic institutions or industry labs. The remote aspect allows for flexible work locations, making it possible to join international teams and contribute to projects from anywhere in the world. This role often emphasizes publishing research, developing prototypes, and contributing to open-source projects.

What are the key skills and qualifications needed to thrive as a remote computer vision postdoc?

To thrive as a Remote Computer Vision Postdoc, you need a solid background in computer vision, machine learning, and programming, typically supported by a PhD in computer science or a related field. Proficiency with deep learning frameworks (such as TensorFlow or PyTorch), coding languages like Python or C++, and experience with large-scale data processing are essential. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in collaborative, research-driven environments. These competencies ensure you can independently advance research objectives, contribute innovative solutions, and work efficiently with distributed teams.

What are some common challenges faced by remote computer vision postdocs, and how can they be addressed?

Remote Computer Vision Postdocs often encounter challenges related to collaboration and access to computational resources. Since much of the work involves large datasets and high-performance computing, ensuring secure and efficient remote access to servers and data is crucial. Effective communication with mentors and team members, often across different time zones, requires proficiency with collaboration tools and proactive scheduling. To address these challenges, it can be helpful to establish regular check-ins, document workflows clearly, and leverage cloud-based platforms for data processing and code sharing.

Software Engineer II

Cint

New Orleans, LA • On-site, Remote

$95K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

Company Description
Cint is a global leader in research and measurement technology connecting brands, researchers, academics, or anyone with a question, to a network of over 800 suppliers representing millions of engaged respondents in 130+ countries. The Cint Exchange empowers users to gather insights at scale to build business strategies, develop research-enabled solutions, publish credible research, and more. At Cint, we're feeding the world's curiosity.
Job Description
  • Develop real time data pipelines and solve big data problems utilizing modern technologies like Spark, Python, Java/Scala, SQL, and AWS cloud environment.
  • Write reliable, maintainable, well-documented code that will scale to support millions of respondents.
  • Create and maintain optimal data pipeline architecture.
  • Execute the full software development life cycle as part of an Agile team.
  • Collaborate with Product Managers to refine and modify requirements.
  • Follow established design paradigms and design patterns.
  • Utilize abilities in unit testing and integration testing.
  • Participate in the on-call rotation to monitor shipped features for success and issues.
  • Support the business teams and product managers in data extracts and data analysis.
  • Demonstrate proficiency in developing software for the user interface, business logic, data modeling and systems, and component integration.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Perform pull requests reviews and CI/CD pipeline integration.
  • Develop and manage end-to-end ETL pipelines for both real-time and batch processing, ensuring the secure and efficient migration of large-scale datasets from MSSQL environments to cloud-based data warehouses.
  • Engineer robust streaming architecture using SNS, Kinesis Data Streams, and Kinesis Data Analytics to enable real-time insights and schema-validated ingestion, ensuring high-quality data delivery.
  • Utilize the following tools and technologies: Github, SQL, REST APIs, and Jira.
  • Position allows work from home anywhere in the United States. Headquarters located at 1235 Saint Thomas Street, Suite 201, New Orleans, LA 70130.

Qualifications
  • The position requires a Master's degree or foreign equivalent degree in Computer Science, Technology Management, or closely related field.
  • The qualified candidate must have at least 1 year (12 months) of experience in a software engineer position or closely related occupation.
  • The qualified candidate must also have at least 1 year (12 months) of experience with all of the following: (a) performing pull requests reviews and CI/CD pipeline integration; (b) developing and managing pipelines ensuring secure and efficient migration of large-scale datasets; (c) writing and optimizing complex, performance-oriented SQL queries; (d) engineering advanced data features/architectures to ensure high-quality data delivery; and (e) utilizing the following tools and technologies: Github, SQL, REST APIs, and Jira.
  • All experience may be gained concurrently.

Additional Information
The anticipated annualised base pay range for this role is $95,000-$105,893 with the potential for annual on target bonus of up to 10%. In addition, this position is also eligible for the following benefits:
  • Medical, Dental, and Vision insurance options to suit you and your family's needs
  • 401K with company matching
  • PTO, unlimited sick days
  • Remote Work
  • Paid maternity and paternity leave

All your information will be kept confidential according to EEO guidelines.
Our Values
Collaboration is our superpower
  • We uncover rich perspectives across the world
  • Success happens together
  • We deliver across borders.

Innovation is in our blood
  • We're pioneers in our industry
  • Our curiosity is insatiable
  • We bring the best ideas to life.

We do what we say
  • We're accountable for our work and actions
  • Excellence comes as standard
  • We're open, honest and kind, always.

We are caring
  • We learn from each other's experiences
  • Stop and listen; every opinion matters
  • We embrace diversity, equity and inclusion.

More About Cint
We're proud to be recognised in Newsweek's 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth.
In June 2021, Cint acquired Berlin-based GapFish - the world's largest ISO certified online panel community in the DACH region - and in January 2022, completed the acquisition of US-based Lucid - a programmatic research technology platform that provides access to first-party survey data in over 110 countries.
Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)
Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.