OpenCV Job Salaries

Find salary information for remote positions requiring OpenCV skills. Make data-driven decisions about your career path.

OpenCV

Median high-range salary for jobs requiring OpenCV:

$250,000

This analysis is based on salary ranges collected from 4 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $180,000 - $250,000

25% of job descriptions advertised a maximum salary above $265,000.
5% of job descriptions advertised a maximum salary above $280,000.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Python, Machine Learning and PyTorch. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

Python
100% jobs mention Python as a required skill. The Median Salary Range for these jobs is $180,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $265,000.
- 5% of job descriptions advertised a maximum salary above $280,000.
Machine Learning
100% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $180,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $265,000.
- 5% of job descriptions advertised a maximum salary above $280,000.
PyTorch
100% jobs mention PyTorch as a required skill. The Median Salary Range for these jobs is $180,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $265,000.
- 5% of job descriptions advertised a maximum salary above $280,000.
Numpy
75% jobs mention Numpy as a required skill. The Median Salary Range for these jobs is $180,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $272,500.
- 5% of job descriptions advertised a maximum salary above $280,000.
Algorithms
75% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $180,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $272,500.
- 5% of job descriptions advertised a maximum salary above $280,000.
Tensorflow
75% jobs mention Tensorflow as a required skill. The Median Salary Range for these jobs is $180,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $272,500.
- 5% of job descriptions advertised a maximum salary above $280,000.
Artificial Intelligence
50% jobs mention Artificial Intelligence as a required skill. The Median Salary Range for these jobs is $180,000 - $250,000
Data Analysis
50% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $180,000 - $250,000
Image Processing
50% jobs mention Image Processing as a required skill. The Median Salary Range for these jobs is $180,000 - $250,000

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Software Development, 3D technology, Mixed-reality experiences and Internet of Things (IoT), Machine Learning. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Software Development
50% jobs are in Software Development industry. The Median Salary Range for these jobs is $202,500 - $265,000
- 25% of job descriptions advertised a maximum salary above $280,000.
3D technology, Mixed-reality experiences
25% jobs are in 3D technology, Mixed-reality experiences industry. The Median Salary Range for these jobs is $180,000 - $250,000
Internet of Things (IoT), Machine Learning
25% jobs are in Internet of Things (IoT), Machine Learning industry. The Median Salary Range for these jobs is $135,482 - $227,700

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 (Senior to Principal) Machine Learning Solutions Architect

Posted 17 days ago

📍 United States, Canada

🧭 Full-Time

💸 225000.0 - 280000.0 USD per year

🔍 Software Development

🏢 Company: Gretel👥 51-100💰 $52,199,996 Series B over 3 years agoArtificial Intelligence (AI)Data Collection and Labeling Machine Learning Privacy Generative AI Information Technology Software

🔧 Requirements

5+ years of experience in a technical customer-facing role serving Enterprise customers and showcasing a track record of successful technical sales scoping, design, and implementation.
3+ years of experience working with modern machine learning frameworks and deep learning models, including fluency in Python, utilizing Colab or Jupyter notebooks, and working with open-source libraries, such as Pandas.
Experience working with data pipelines and orchestration / tooling for the modern data stack.
Previous hands on engineering experience in Data Engineering and MLOps.
Experience deploying ML models and required infrastructure set up, including Kubernetes (Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), and Azure Kubernetes Services (AKS)), containers, and CI/CD.
Exceptional presentation and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Ability to prioritize and manage multiple projects at once, across different customers with different use cases.
Willingness to travel occasionally (up to 20%) for customer meetings, conferences, and industry events, as needed.

💡 Responsibilities

Build custom prototypes and product demos utilizing Colab/Jupyter notebooks and Python libraries that highlight end-to-end operationalized use cases of Gretel.
Lead and support customers in identifying use cases, scoping, and, partnering with the broader team to ensure the successful deployment of solutions tailored to meet their specific business use cases.
Be the voice of the customer, communicating back experimental results and empirical experience gained from the field and critical for our internal applied science research.
Proactively identify opportunities in our product based on trends identified across customer needs, and build solutions to address these emerging patterns.
Conduct and guide research in the field, working with our most pioneering customers to advance what is possible with our platform.
Lead technical discovery during the sales lifecycle to deeply understand prospects’ ML and engineering requirements.
Partner with the account teams to differentiate proposed approaches versus open source and competitive solutions.
Stay up-to-date with industry trends, best practices, and advancements in generative AI, data privacy, and cloud infrastructure.
Exhibit a customer-focused mindset by prioritizing client needs, fostering strong relationships, and delivering exceptional service to ensure customer satisfaction and success.

Docker Python SQL AWS EKS Keras Kubernetes Machine Learning Numpy OpenCV PyTorch Algorithms Data engineering REST API Pandas Tensorflow Communication Skills Analytical Skills CI/CD Problem Solving Customer service Attention to detail Presentation skills Active listening Data visualization Data modeling

Posted 17 days ago

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🔥 (Senior to Principal) Applied Scientist

Posted 17 days ago

📍 United States, Canada

🧭 Full-Time

💸 180000.0 - 250000.0 USD per year

🔍 Software Development

🔧 Requirements

M.S. or PhD in Computer Science, related technical field, or equivalent practical experience.
3+ years of industry experience in building, training, and fine-tuning Machine Learning models, including defining, vetting, and iterating on metrics and running online controlled experiments (A/B testing, interleaving).
A track record of applied research in AI/ML, as demonstrated by leading research projects, conference presentations, in-depth blog posts, or first author publications.
Profound experience and understanding across advanced models, such as Transformers, LSTMs, GANs, CNNs, and diffusion models.
Extensive experience with ML frameworks such as TensorFlow, HuggingFace, PyTorch, Keras, OpenCV, Fairlearn, or MLflow and Python libraries like Pandas
Programming experience in Python and experience with Cloud providers such as AWS, GCP, and Azure
Builder Mindset - you’ve contributed to open source projects and/or have built your own model, tool, or product.
Excellent communication skills – you will interact with customers and/or assist with community-related events, so we’re extra mindful about verbal and written communication.

💡 Responsibilities

Explore new applications and techniques within language modeling and generative models for multiple modalities, improving synthetic tabular data generation algorithms, ethical/fair AI, and privacy enhancing technologies.
Actively collaborate with engineering, sales engineering/solutions architects, product, sales, and marketing as a part of the customer-feedback loop to better understand our end-users and use cases to design and build more effective and efficient solutions.
Research, design, and build end-to-end reusable, scalable solutions for our customers and users.
Partner with the sales engineering teams on building complex customer solutions; identify and escalate problems to engineering and support teams.
Plan, build, and facilitate industry-specific use cases, including content creation in the form of workshops, webinars, technical blogs, whitepapers and developer community engagement.
Stay abreast of developments in AI, actively sharing and trying out new approaches.
Mentor colleagues and promote a culture of knowledge sharing.

AWS Python Artificial Intelligence Cloud Computing Data Analysis Differential Equations GCP Git Image Processing Keras Machine Learning MLFlow Numpy OpenCV PyTorch Algorithms API testing Azure Data Structures REST API Pandas Tensorflow Communication Skills Analytical Skills Collaboration Attention to detail Excellent communication skills Research A/B testing

Posted 17 days ago

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🔥 Senior Machine Learning Engineer, Edge AI

Posted about 1 month ago

📍 United States, Canada

🧭 Full-Time

💸 135482.0 - 227700.0 USD per year

🔍 Internet of Things (IoT), Machine Learning

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff almost 5 years agoCloud Data Services Business Intelligence Internet of Things SaaS Software

🔧 Requirements

BS or MS in Computer Science, Electrical Engineering, or a related field with a focus on ML or embedded systems.
5+ years of experience in embedded machine learning or a similar role.
4+ years of experience in deploying machine learning models in embedded systems.
Proficiency in embedded systems programming, including low-level optimization for inference workloads.
Strong coding skills in C++, Golang, or Python, with experience optimizing ML models for deployment on edge hardware.
Hands-on experience with ML frameworks like PyTorch, TensorFlow, ONNX, and optimization techniques for edge AI (e.g., quantization, pruning, sparsification).
Experience in computer vision and media processing on edge/mobile devices, including real-time object detection, tracking, and scene analysis.
Proven ability to troubleshoot and debug edge AI systems, including profiling inference performance, reducing latency, and optimizing power efficiency.

💡 Responsibilities

Develop and deploy AI models on edge devices by working with petabyte-scale data from Samsara’s camera and sensor devices.
Optimize ML models for real-time inference on edge devices by implementing quantization, sparsification, pruning, and model distillation techniques.
Collaborate with firmware and hardware teams to integrate ML models into resource-constrained environments, ensuring efficient execution.
Improve edge AI performance by profiling and optimizing latency, memory usage, and energy efficiency across different hardware architectures (CPU, GPU, DSP, NPU).
Stay up to date with the latest research in computer vision, deep learning, and embedded AI, applying relevant advancements to Samsara’s products.
Work closely with Product Managers to translate customer requirements into scalable and efficient ML solutions for real-time video analytics and sensor processing.
Debug and troubleshoot edge AI deployments, addressing performance bottlenecks, thermal constraints, and reliability issues in production environments.
Champion Samsara’s cultural principles, fostering a collaborative and growth-oriented team environment.

Python Embedded Systems Machine Learning OpenCV PyTorch C++Tensorflow

Posted about 1 month ago

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🔥 Senior Applied Research Scientist - 3D Reconstruction & Deep Learning

Posted 5 months ago

📍 USA, Canada

🧭 Full-Time

💸 $180,000 - $250,000 per year

🔍 3D technology, Mixed-reality experiences

🏢 Company: Geomagical Labs👥 11-50💰 about 6 years agoAugmented Reality Computer Vision Interior Design

🔧 Requirements

Ph.D. and 2+ years of experience, or Master's and 6+ years of experience, focused on 3D Computer Vision and Deep Learning.
Experience in classical methods for 3D Reconstruction: SfM/SLAM, Multi-view Stereo, RGB-D Fusion.
Experience in using Deep Learning for 3D Reconstruction and/or Scene Understanding.
Familiarity with Computer Graphics and Computational Photography.
Expertise in ML frameworks and libraries, e.g. PyTorch.
Highly productive in Python, with the ability to architect and implement complex systems.
Entrepreneurial mindset and innovative track record with publications or patents.

💡 Responsibilities

Develop and improve the underlying algorithms powering consumer products.
Work on enhancing the 3D Reconstruction and Deep Learning capabilities.
Focus on creating novel technologies and shipping them to millions of customers.

Python Software Development Artificial Intelligence Data Analysis Image Processing Machine Learning Numpy OpenCV PyTorch C++Algorithms Go

Posted 5 months ago

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