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Remote Image Processing Intern Jobs in Michigan (NOW HIRING)

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar ... remote servers and services, virtual computers and clusters. * Proficiency in signal processing ...

United Soccer League (USL)

$15.25 - $19/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Identify opportunities to implement procedures for new data collection processes and/or data ...

United Soccer League (USL)

$15.50 - $19.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Identify opportunities to implement procedures for new data collection processes and/or data ...

United Soccer League (USL)

$14.75 - $18.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Identify opportunities to implement procedures for new data collection processes and/or data ...

United Soccer League (USL)

$14.75 - $18.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Identify opportunities to implement procedures for new data collection processes and/or data ...

United Soccer League (USL)

$13.75 - $17.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Identify opportunities to implement procedures for new data collection processes and/or data ...

United Soccer League (USL)

$14.50 - $18.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Identify opportunities to implement procedures for new data collection processes and/or data ...

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All JobsImage Processing Intern JobsRemote Image Processing Intern JobsRemote Image Processing Intern Jobs in Michigan

Remote Image Processing Intern information

What does a remote image processing intern do?

A Remote Image Processing Intern assists with analyzing, enhancing, and manipulating digital images using specialized software and algorithms. They typically work under the guidance of experienced engineers or data scientists, contributing to tasks such as image annotation, object detection, and developing image processing pipelines. As the role is remote, interns collaborate with team members online, participate in virtual meetings, and submit their work electronically. The position helps interns gain hands-on experience in computer vision and image analysis while building technical and communication skills.

What are the key skills and qualifications needed to thrive as a remote image processing intern?

To thrive as a Remote Image Processing Intern, you need a foundational understanding of image processing concepts, programming (commonly Python or MATLAB), and a related academic background such as computer science or engineering. Familiarity with tools and libraries like OpenCV, TensorFlow, and image annotation platforms is typically expected. Strong analytical thinking, attention to detail, and proactive communication skills help you stand out in a remote setting. These skills are crucial for efficiently handling complex image data tasks, collaborating virtually with teams, and contributing meaningful solutions to projects.

What are the typical collaboration methods for remote image processing interns working with distributed teams?

Remote Image Processing Interns often collaborate with team members through virtual platforms such as Slack, Microsoft Teams, or Zoom. They participate in regular stand-up meetings, share progress via project management tools like Jira or Trello, and review code using platforms like GitHub. Clear communication and proactive updates are crucial, as team members may be located in different time zones. Interns are encouraged to ask questions and seek feedback frequently to ensure alignment and steady progress.

What is the difference between Remote Image Processing Intern vs Remote Data Analyst Intern?

AspectRemote Image Processing InternRemote Data Analyst Intern
Required SkillsImage editing, basic programming, understanding of image formatsData analysis, Excel, statistical tools, programming
Work EnvironmentTech companies, media, or design firmsFinance, marketing, or research organizations
Industry UsageMedia, entertainment, techBusiness, finance, healthcare

The Remote Image Processing Intern focuses on editing and analyzing images, often requiring skills in image formats and basic programming. In contrast, the Remote Data Analyst Intern handles data sets, performs statistical analysis, and uses data visualization tools. Both roles are remote, entry-level, and industry-specific, but they serve different functions within their respective fields.

What are popular job titles related to Remote Image Processing Intern jobs in Michigan?

For Remote Image Processing Intern jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Image Processing Intern jobs in Michigan look for?

The top searched job categories for Remote Image Processing Intern jobs in Michigan are:

What cities in Michigan are hiring for Remote Image Processing Intern jobs?

Cities in Michigan with the most Remote Image Processing Intern job openings:

Remote Image Processing Intern jobs near you
Infographic showing various Remote Image Processing Intern job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 15% Part Time, 3% Temporary, 3% Contract, and 2% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Senior Machine Learning Engineer

Canopy

Detroit, MI • On-site, Remote

$126K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

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Job description

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat vehicle and content theft. In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior engineers, and influencing system architecture decisions. This is a high-impact role with visibility across engineering and product leadership.
Responsibilities:
  • Contribute to the design, development, and deployment of robust machine learning models for production use in real-world security applications.
  • Develop within the full machine learning lifecycle; from problem definition to data pipeline design, model development, validation, deployment, and monitoring.
  • Establish and refine best practices in our ML system architecture, CI/CD pipelines for ML, and reproducible research methodologies.
  • Collaborate with cross-functional stakeholders including product managers, data engineers, and MLOps teams to ensure seamless model integration and delivery.
  • Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar, accelerometer) to derive insights and guide modeling strategies.
  • Stay ahead of industry advancements in machine learning, AI sensing, and signal processing, incorporating the latest innovations into Canopy's technology stack.
  • Mentor and guide junior engineers and contribute to the hiring process and technical reviews.

Requirements
  • 5+ years of professional experience developing and implementing ML for perception systems with expertise in at least one of either RADAR, camera, or LiDAR.
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow.
  • Proven ability to develop production-grade ML applications for training, evaluation and inference on large-scale datasets.
  • Experience creating C/C++ applications utilizing modern language features and build systems, preferably for porting ML inference applications from Python to edge devices/embedded systems.
  • White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural network models and architectures (CNNs, transformers) with significant experience applying them for perception systems.
  • Experience implementing and applying dynamic object tracking, with experience using sensor fusion as a preference.
  • Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and services, virtual computers and clusters.
  • Proficiency in signal processing techniques such as time/frequency-domain processing (e.g. Fourier Transform), filtering, and noise reduction.
Preferred Qualifications:
  • Experience in deploying models to edge hardware, including experience with PyTorch and ONNX and model compression techniques, e.g. quantisation and pruning.
  • Experience using cloud computing platforms, e.g., AWS or GCP.
  • Experience with MATLAB for algorithm prototyping and research.
  • Experience with Docker or containerisation.
  • Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits
  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $126,000 - $180,000
Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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