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How much do rss feed jobs pay per year?

As of Aug 7, 2026, the average yearly pay for rss feed in the United States is $62,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $60,000.00 per year, depending on experience, location, and employer.

What is the difference between Rss Feed vs Content Writer?

AspectRss FeedContent Writer
Required CredentialsNone specific, basic technical knowledgeWriting skills, often a degree or portfolio
Work EnvironmentDigital, online platformsOffice or remote, creative environment
Industry UsageUsed for content syndication and updatesCreates original content for websites, blogs, marketing
Search & Comparison IntentUnderstanding content distribution methodsFinding content creation professionals

Rss Feed and Content Writer serve different roles in digital content. Rss Feeds are used to syndicate and distribute content automatically, while Content Writers produce original content for various platforms. Both are essential in digital marketing but fulfill distinct functions.

What are the key skills and qualifications needed to thrive as an RSS Feed Manager, and why are they important?

To thrive as an RSS Feed Manager, you need a solid understanding of web syndication, XML formats, and content management systems, usually supported by experience in digital publishing or web administration. Familiarity with RSS feed readers, aggregators, and tools like Feedly or WordPress plugins is essential. Attention to detail, problem-solving, and effective communication are critical soft skills for ensuring timely and accurate content distribution. These skills and qualities are important to maintain seamless content delivery, user engagement, and the technical integrity of syndicated feeds.

What is an rss feed?

An RSS Feed job typically involves managing, creating, and optimizing RSS feeds for websites, blogs, or news platforms. This can include ensuring content updates are correctly syndicated, troubleshooting feed errors, and integrating RSS feeds with other platforms or applications. Professionals in this role may work with XML, content management systems (CMS), and automation tools to streamline content distribution.

What are common challenges faced by professionals managing RSS feeds, and how can they be addressed?

Professionals managing RSS feeds often encounter challenges such as ensuring feed consistency, handling large volumes of content, and maintaining compatibility with various feed readers. It’s common to troubleshoot issues related to feed validation, duplicate content, or broken links. Staying updated on evolving feed standards and collaborating closely with content creators and web developers can help address these challenges efficiently, ensuring users receive accurate and timely content updates.
What are the most commonly searched types of Rss Feed jobs? The most popular types of Rss Feed jobs are:
Rss Feed jobs near you
Infographic showing various Rss Feed job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $62,511 per year, or $30.1 per hour.

Senior/Staff Machine Learning Engineer, Perception

Agtonomy

South San Francisco, CA • On-site

$200K - $280K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

About Us

At Agtonomy, we're not just building tech-we're transforming how vital industries get work done. Our Physical AI and fleet services turn heavy machinery into intelligent, autonomous systems that tackle the toughest challenges in agriculture, turf, and beyond. Partnering with industry-leading equipment manufacturers, we're creating a future where labor shortages, environmental strain, and inefficiencies are relics of the past. Our team is a tight-knit group of bold thinkers-engineers, innovators, and industry experts-who thrive on turning audacious ideas into reality. If you want to shape the future of industries that matter, this is your shot.

About the Role

We're looking for a skilled ML engineer to build the perception systems that give our autonomous machines human-like awareness in rugged, unstructured environments. You'll develop computer vision and machine learning systems that turns noisy camera and LiDAR data into robust 3D scene understanding - enabling heavy equipment to operate safely through dust, glare, occlusion, and whatever messy conditions a working site throws at it.

The field is moving past bounding-box detection and hand-tuned tracking toward learned, dense scene representations, foundation-model-driven data engines, and uncertainty-aware perception. You'll be at the center of that shift. This role is hands-on: you'll write production-grade software, distill and optimize models for embedded hardware, and validate your work on real machines at operating around the world.

What You'll Do
  • Develop real-time perception models for open-world obstacle and terrain understanding.
  • Build multi-modal fusion that combines camera and LiDAR into a unified 3D/BEV representation, robust to occlusions, sensor degradation, and GNSS outages.
  • Optimize models for low-latency inference on resource-constrained hardware, balancing accuracy and performance.
  • Design auto-labeling pipelines that leverage foundation models and teacher-student distillation to scale labeling and close the loop from real-world field interventions.
  • Design data and evaluation pipelines that curate large multi-sensor datasets and surface failures fast, with strong visualization and debugging tooling.
  • Analyze performance metrics and iterate on algorithms to improve accuracy and efficiency of various perception subsystems.
What You'll Bring
  • A MS/PhD in Computer Science, AI, or a related field, or 6+ years of industry experience building vision-based perception systems.
  • Deep expertise developing and deploying modern perception models: detection, segmentation, mono/stereo/metric depth, BEV/occupancy, sensor fusion, and 3D scene understanding.
  • Fluency adapting, fine-tuning, and distilling large pre-trained vision and vision-language models.
  • Strong grounding in multi-sensor integration (camera, LiDAR, radar): calibration, spatiotemporal sync, and cross-modal fusion.
  • Experience handling large datasets efficiently and organizing them for labeling, training and evaluation.
  • Fluency in Python with PyTorch/TensorFlow/OpenCV and the ability to write efficient, production-ready code for real-time systems.
  • Proven ability to design experiments, analyze metrics (mAP, IoU, latency/throughput, and calibration/ECE), and optimize to meet stringent real-world performance and safety requirements.
  • An eagerness to get your hands dirty and agility in a fast-moving, collaborative, small team environment with lots of ownership.
What Makes You a Strong Fit
  • Experience architecting multi-sensor ML systems from scratch.
  • Experience building auto-labeling / data-engine flywheels at scale.
  • Experience with compute-constrained pipelines including optimizing models to balance the accuracy vs. performance tradeoff, leveraging TensorRT, model quantization, etc.
  • Familiarity with emerging predictive world models for anticipation, anomaly detection, or closed-loop simulation, and adjacent policy paradigms such as Vision-Language-Action (VLA) and World-Action (WAM) models.
  • Experience with compute-constrained deployment: TensorRT, model quantization, and custom CUDA operations.
  • Publications at top-tier perception/robotics venues (CVPR, ICRA, CoRL, RSS, etc.).
  • Passion for how we feed, build, move, and maintain the world.
$200,000 - $280,000 a year
The US base salary range for this full-time position is $200,000 to $280,000 + equity + benefits + unlimited PTO
 
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process.
Benefits
 
100% covered medical, dental, and vision for the employee (partner, children, or family is additional)
Commuter Benefits
Flexible Spending Account (FSA or HSA)
Life Insurance
Short- and Long-Term Disability
401k Plan
Stock Options
Collaborative work environment working alongside passionate mission-driven team!
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