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From Home Computer Vision Postdoc Jobs in Texas (NOW HIRING)

ProLedge Bookkeeping Services

Staff Bookkeeper

Dallas, TX · On-site

$20 - $24/hr

Being a Certified ProAdvisor is a definite plus.- You are setup to work from home (computer and broadband). You'd work from your home or at the client, depending on the client.- You are willing to ...

ProLedge Bookkeeping Services

Staff Bookkeeper

Austin, TX · On-site

$20 - $24/hr

Being a Certified ProAdvisor is a definite plus.- You are setup to work from home (computer and broadband). You'd work from your home or at the client, depending on the client.- You are willing to ...

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All JobsComputer Vision Postdoc JobsFrom Home Computer Vision Postdoc JobsFrom Home Computer Vision Postdoc Jobs in Texas

From Home Computer Vision Postdoc information

What is a from home computer vision postdoc?

A From Home Computer Vision Postdoc is a researcher with a doctoral degree who conducts advanced research in computer vision while working remotely, typically from home. These postdoctoral positions focus on developing algorithms and systems that enable computers to interpret and analyze visual information from the world, such as images and videos. Remote postdocs in this field often collaborate with academic institutions, research labs, or companies via digital communication tools. They may publish scientific papers, contribute to open-source projects, or assist in teaching while enjoying the flexibility of a work-from-home arrangement.

What skills and qualifications are needed to thrive as a from home computer vision postdoc?

To thrive as a From Home Computer Vision Postdoc, you need a PhD in computer science or a related field, with deep expertise in computer vision algorithms and research methodologies. Proficiency with programming languages like Python or C++, and experience using deep learning frameworks such as TensorFlow or PyTorch, are typically required. Strong analytical thinking, self-motivation, and effective remote collaboration skills help you excel in this role. These skills are crucial for conducting advanced research, publishing high-quality work, and contributing to collaborative projects in a remote academic or industry environment.

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

Remote Computer Vision Postdocs often encounter challenges such as limited access to lab hardware, potential isolation from peers, and coordinating collaborative research across time zones. To overcome these, postdocs can leverage cloud-based computational resources, schedule regular virtual meetings with their research team, and participate in online seminars or forums to stay connected with the community. Effective communication and proactive networking are key to maintaining productivity and collaboration while working from home.

What are the most commonly searched types of Computer Vision Postdoc jobs in Texas?

The most popular types of Computer Vision Postdoc jobs in Texas are:

From Home Computer Vision Postdoc jobs near you

Computer Vision & Machine Learning Engineer - All Levels

Allen Control Systems

Austin, TX • On-site

$94K - $270K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 2 days ago

Job description

Company Overview
Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.
With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous ventures acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact.
About The Role
We are looking for a Computer Vision and Machine Learning Engineer to develop and optimize the CV/ML systems at the core of our autonomous gun turret, with a focus on real-time drone detection, tracking, and classification. ACS is hiring across multiple experience levels for this role, from Associate through Senior Staff; your title and level will be determined based on your experience, skills, and scope of responsibility. You will work closely with electrical engineers to integrate vision systems into the turret's hardware architecture and contribute to hardening the prototype into a military-grade system.
We're hiring across multiple experience levels, including:
Associate CV/ML Engineer
CV/ML Engineer
Senior CV/ML Engineer
Staff CV/ML Engineer
Senior Staff CV/ML Engineer
What You'll Do
  • Develop and optimize computer vision algorithms for real-time drone detection, tracking, and classification on our autonomous gun turret.
  • Design and implement machine learning models capable of operating in resource-constrained environments while maintaining high accuracy and reliability.
  • Collaborate with electrical engineers to integrate computer vision systems into the turret's hardware architecture; contribute to hardening the prototype into a military-grade system and developing variants for different weapon systems and engagement ranges.
  • Conduct extensive testing and validation of CV algorithms across diverse scenarios to ensure robustness and performance under varying environmental conditions.

What You'll Need
  • 4+ years of experience in machine-learning-based computer vision, ideally in the context of robotics or autonomous systems; Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field with a strong focus on ML and computer vision.
  • Proven track record developing and deploying computer vision systems, ideally in real-time or safety-critical applications; deep passion for ML, computer vision, and robotics with roots that go back to early in your career.
  • Proficiency in Python and C++; hands-on experience with ML frameworks such as PyTorch, TensorFlow, or similar.
  • Experience with embedded systems and integrating CV algorithms into hardware; familiarity with sensors such as cameras, LiDAR, and radar and their integration into autonomous systems.

You'll Stand Out
  • Experience with object detection and tracking in challenging real-world conditions such as small targets, cluttered backgrounds, or low-contrast imagery.
  • Background in defense, aerospace, or autonomous systems where performance and reliability requirements are non-negotiable.
  • Experience deploying and optimizing models on edge hardware such as NVIDIA Jetson or similar embedded GPU platforms.
  • Experience with multi-sensor fusion or integrating data from heterogeneous sensor modalities such as optical and infrared cameras.

What We Offer
  • Competitive salary
  • ACS Equity Package
  • Health, Dental, Vision Insurance
  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #LI-AS1

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