ZipRecruiter

Log In

1

Intern Computer Vision Deep Learning Engineer Jobs in Birmingham, AL

Reli Group Inc

Power BI Intern

Birmingham, AL

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Vista Robotics

Software QA Intern

Birmingham, AL · On-site

$18 - $23.75/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Quanta Services

Engineering Intern

Birmingham, AL

$14.25 - $18.75/hr

Utilize analytical, CAD, and mathematical skills to support engineering and design projects ... projects As an intern or co-op, you'll gain: * Hands-on experience supporting real-world ...

Electra Grid Solutions, LLC

Office Intern

Irondale, AL · On-site

$30K - $35K/yr

Requires use of standard office equipment (phone, copier, computer). * Must be able to lift up to ... This role is designed as an entry-level learning opportunity . Key Attributes * Eager to Learn ...

next page

Showing results 1-20

People also search for

All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Birmingham, AL

Intern Computer Vision Deep Learning Engineer information

See Birmingham, AL salary details

$8

$15

$22

How much do intern computer vision deep learning engineer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for intern computer vision deep learning engineer in Birmingham, AL is $15.97, according to ZipRecruiter salary data. Most workers in this role earn between $13.51 and $18.03 per hour, depending on experience, location, and employer.

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What types of projects or tasks can I expect to work on as an Intern Computer Vision Deep Learning Engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What does an Intern Computer Vision Deep Learning Engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an Intern Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Birmingham, AL? The most popular types of Computer Vision Deep Learning Engineer jobs in Birmingham, AL are:
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Birmingham, AL? For Intern Computer Vision Deep Learning Engineer jobs in Birmingham, AL, the most frequently searched job titles are:
What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Birmingham, AL look for? The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Birmingham, AL are:
Intern Computer Vision Deep Learning Engineer jobs near you
Senior Detection Subsystem Hardware Engineer

Senior Detection Subsystem Hardware Engineer

EBSCO Industries, Inc.

Birmingham, AL • On-site

$89K - $123K/yr

Full-time

Posted 2 days ago

Job description

Headquartered in Birmingham, Alabama, Moultrie (www.moultrie.com) is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for real-time remote monitoring.
We take pride in developing deep user understanding, obsessing about the details, and going the extra mile to show our users we love them. Moultrie is customer-driven - hardware, software, marketing, and customer success teams collaborate to deliver a quality user experience.
We are guided by the following principles: Customer Obsession.; Excellence is the Standard.; Bias for Action.; Act Boldly.; Deliver Results.; Hire and Develop the Best.; Be Curious and Learn.; Win as a Team
Job Summary
We're looking for a Senior Detection Subsystem Engineer to own the full lifecycle of detection technology across our trail camera product line - from PIR signal processing to on-device AI classification and beyond. You'll serve as the technical authority on how our cameras sense and respond to wildlife and other subjects, with a mandate to keep Moultrie's detection capabilities ahead of the market.
This hands-on leadership role blends hardware, firmware, and applied machine learning, and puts you at the table for critical architectural decisions across product, engineering, and executive stakeholders.
Job Responsibilities
Technical Leadership
  • Own the detection subsystem architecture - sensor technology, signal processing, AI inference strategies, and system-level trade-offs
  • Define the multi-generation detection roadmap with product and engineering leadership
  • Set standards and best practices; mentor junior and mid-level engineers

Detection Technologies
  • Own end-to-end PIR subsystem design including sensor selection, Fresnel optic design, sensitivity tuning, and false-trigger mitigation
  • Design and tune signal processing pipelines
  • Lead on-device AI pipeline development - model selection, edge quantization, and integration with low-power embedded platforms
  • Define and track key KPIs: detection range, trigger latency, false positive/negative rates, and power consumption

Hardware, Integration & Validation
  • Select and qualify PIR sensors, optics, signal conditioning circuits, and AI inference hardware
  • Partner with mechanical and electrical engineers on sensor placement, thermal shielding, and enclosure design
  • Own the Verification and Validation strategy - including automated test frameworks, hardware-in-the-loop rigs, and field validation protocols across diverse environments and target subjects
  • Maintain defect tracking and root cause analysis; partner with QA and product to validate fixes

Future Technology & Cross-Functional Work
  • Research and prototype emerging technologies
  • Author roadmap proposals and present to engineering and executive stakeholders
  • Represent the detection subsystem in program reviews; support manufacturing with test fixture design and yield optimization

Job Requirements
What You Bring:
  • Bachelor's or higher in Electrical Engineering, Computer Engineering, Physics, or related field; advanced degree preferred
  • 8+ years in embedded hardware/firmware development focused on sensing or detection systems
  • Deep hands-on PIR experience: analog front-end design, signal processing, pyroelectric signal characterization
  • Proven experience deploying ML/AI models on edge devices (TensorFlow Lite, ONNX, or similar)
  • Proficiency in C/C++ for embedded firmware; strong low-power design fundamentals
  • Experience building Verification and Validation frameworks including automated test and field validation
  • Strong communicator with technical and non-technical audiences

Preferred
  • Experience with radar sensor modules (TI mmWave, Infineon BGT series) or other non-optical detection technologies
  • Familiarity with RTOS environments (FreeRTOS, Zephyr, etc.)
  • Experience training or fine-tuning computer vision models (YOLO, MobileNet, EfficientDet) for wildlife or object classification
  • Background in outdoor, ruggedized consumer electronics or IoT products
  • Knowledge of PIR Fresnel lens or thermal imaging optics
  • Experience with schematic review and PCB design
  • Prior tech lead or mentorship experience; familiarity with IP/patent process

Essential Job Function
Why Moultrie
We build products people genuinely care about - tools they take into the field before sunrise and trust to never miss a moment. If you want to do the best work of your career on a team that values bold thinking, deep craft, and real-world impact, we'd love to hear from you.
We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.
We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.

Apply