Spacy information
See salary details
$67.7K - $80.5K
0% of jobs
$80.5K - $93.2K
2% of jobs
$93.2K - $105.9K
4% of jobs
$105.9K - $118.6K
12% of jobs
$122.2K is the 25th percentile. Wages below this are outliers.
$118.6K - $131.4K
24% of jobs
The median wage is $138.8K / yr.
$131.4K - $144.1K
13% of jobs
$144.1K - $156.8K
15% of jobs
$161.6K is the 75th percentile. Wages above this are outliers.
$156.8K - $169.5K
13% of jobs
$169.5K - $182.3K
11% of jobs
$182.3K - $195K
6% of jobs
How much do spacy jobs pay per year?
As of Aug 16, 2026, the average yearly pay for spacy in the United States is $141,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $163,500.00 per year, depending on experience, location, and employer.
Professionals using spaCy often encounter challenges such as customizing pre-trained models to fit domain-specific language, handling large-scale text data efficiently, and integrating spaCy pipelines with other machine learning frameworks. Additionally, staying updated with frequent library updates and best practices can be demanding. Collaboration with data scientists and software engineers is typically necessary to ensure seamless deployment and scaling of NLP solutions in production environments.
To thrive as an NLP Engineer specializing in spaCy, you need a solid background in computer science, linguistics, and machine learning, often supported by a relevant degree. Proficiency with Python programming, the spaCy library, and experience with tools like Jupyter Notebooks and version control systems are typically required. Strong analytical thinking, problem-solving skills, and effective communication help you design and implement robust language models and collaborate with multidisciplinary teams. These skills and qualities are crucial for developing, optimizing, and deploying high-quality NLP solutions that meet real-world business needs.
A Spacy job typically refers to a professional who works with spaCy, an open-source natural language processing (NLP) library in Python. These roles often involve developing, implementing, or maintaining NLP applications such as text classification, named entity recognition, or information extraction using spaCy. Professionals in this field may work as data scientists, NLP engineers, or machine learning specialists, leveraging spaCy's efficient and easy-to-use tools to process and analyze large volumes of text data. Familiarity with Python programming and a background in linguistics or machine learning are often beneficial for such roles.
What are the most commonly searched types of Spacy jobs?
The most popular types of Spacy jobs are:
What job categories do people searching Spacy jobs look for?
The top searched job categories for Spacy jobs are:
