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Spacy Jobs (NOW HIRING)

Pennymac

Senior AI Engineer (AI / ML Solutions)

Cary, NC · On-site

$110K - $170K/yr

Develop and optimize high-performance machine learning models using Python and relevant libraries such as TensorFlow, PyTorch, and spaCy for predictive analytics and NLP. * Implement and manage MLOps ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

Skills Needed • 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. • 3+ years in microservices. • 3+years in SpaCy, NLTK, or Hugging Face's • 3+years in Tesseract, Google Vision API, or ...

Elite WorkForce Inc

PA · On-site

Proficiency in NLP tools (e.g., spaCy, Hugging Face, NLTK). * Hands-on experience with Microsoft Dynamics Contact Center solution and Azure AI services. * Experience with cloud platforms (Azure) and ...

Marencor

Data Scientist with Python

Dallas, TX · On-site

Portfolio of LLM applications and sample projects * 2+ years of NLP experience using tools such as NLTK, SpaCy, and Beautiful Soup * 1+ years of LLM experience building RAG systems at scale (10,000 ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

... SpaCy, or Transformers. • Build and integrate solutions using Large Language Models (LLMs) and Generative AI frameworks. • Perform data cleaning, preprocessing, and feature engineering on ...

Kaizen Stackup

Agent Engineer

San Francisco, CA · On-site

$17.75 - $23.50/hr

Familiarity with natural language processing techniques and libraries (e.g., NLTK, spaCy) * Knowledge of reinforcement learning and decision-making algorithms * Strong problem-solving skills and ...

ClifyX

Machine Learning Engineer

Manhattan, NY

NLTK, gensim, spaCy, and pandas) * Experience with Apache Spark (especially SparkML) and/or Apache Hadoop * Strong experience in NLP, specifically topic modeling and text classification * Experience ...

Tata Consultancy Services

Gen AI Developer Intern

Dublin, OH · On-site

$18.50 - $24.50/hr

... spaCy, Gensim, Tuner, Pandas, BERT, TensorFlow, Keras, PyTorch, Flask, Django, AWS Sagemaker, AWS Bedrock and Azure - ML Studio, cognitive services & OpenAI. • Understanding of ethical ...

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How much do spacy jobs pay per year?

As of Jun 9, 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.

What are some common challenges faced by professionals working with spaCy in natural language processing projects?

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.

What are the key skills and qualifications needed to thrive as a Natural Language Processing (NLP) Engineer specializing in spaCy, and why are they important?

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.

What is a Spacy job or role?

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.
More about Spacy jobs
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:
Spacy jobs near you
Infographic showing various Spacy job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 65% Physical, 7% Hybrid, and 28% Remote job distribution, with an average salary of $141,976 per year, or $68.3 per hour.
Senior AI Engineer (AI / ML Solutions)

Senior AI Engineer (AI / ML Solutions)

Pennymac

Cary, NC • On-site

$110K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

PENNYMAC
Pennymac is (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market.
At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey.
A Typical Day
We're looking for a highly experienced and motivated Senior AI Engineer to develop and deploy cutting-edge AI/ML solutions within our AI Accelerator Team. You'll work with and mentor a team of engineers responsible for leveraging the latest AI ( Artificial Intelligence ) technologies and ML ( Machine Learning ) models to deploy best-in-class tools for Pennymac's employees and customers.
This role requires a deep understanding of AI agentic programming, machine learning algorithms, natural language processing (NLP), computer vision, AWS and GCP cloud technologies, and MLOps practices. Strong communication skills are essential to effectively collaborate within the team and provide technical mentorship to peers.
Responsibilities
  • Design and implement AI/ML solutions on AWS Bedrock and Google Vertex AI, including model selection, training, optimization, and deployment.
  • Utilize AWS services (e.g., EC2, S3, Lambda, SageMaker) and GCP services (e.g., Compute Engine, Cloud Storage, BigQuery, Vertex AI) to build and manage scalable cloud infrastructure for AI/ML workloads.
  • Develop and optimize high-performance machine learning models using Python and relevant libraries such as TensorFlow, PyTorch, and spaCy for predictive analytics and NLP.
  • Implement and manage MLOps practices to ensure efficient model development, deployment, monitoring, and retraining within the IDP pipeline.
  • Demonstrate proficiency in utilizing AWS Bedrock services (e.g., Titan FMs, foundation models) and Google Vertex AI services (e.g., Vertex AI Workbench, pre-trained APIs).
  • Design and implement robust data pipelines for efficient data ingestion, preprocessing, and feature engineering.
  • Identify and resolve performance and scalability issues in models and infrastructure to improve the accuracy and efficiency of tools in production.
  • Collaborate with cross-functional teams (e.g., product management, data science, software engineering) to deliver impactful solutions that meet business requirements.
  • Participate in code reviews and provide technical guidance to peers on best practices and latest technology trends.
  • Work with DevOps teams to ensure continuous delivery of the product using agile methodology.
  • Stay abreast of the latest advancements in AI/ML, NLP, computer vision, and cloud technologies to evaluate new techniques that enhance our AI solutions.
  • Utilize coding assistants such as Cursor, Copilot in the day to day development of products

What You'll Bring
  • Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
  • 5+ years of experience in a Platform Engineering or high-scale Backend role, with a focus on building resilient, distributed systems.
  • 3+ years of hands-on experience developing with Large Language Models (LLMs) and designing sophisticated agentic workflows.
  • Extensive experience navigating both Amazon Web Services (AWS) and Google Cloud Platform (GCP), specifically their respective AI and data ecosystems.
  • Deep proficiency in Python and its scientific stack (e.g., PyTorch, TensorFlow, spaCy) for developing high-performance machine learning applications.
  • Must have experience with AI Coding Assistants, specifically Cursor, Copilot or Devin, this is a core requirement for every member of our technical team who writes code.
  • Exceptional troubleshooting skills with a track record of identifying and resolving bottlenecks in complex AI infrastructure.
  • Proven ability to mentor engineering peers, fostering a culture of technical excellence and continuous growth.
  • Strong communication and collaboration skills

Preferred Skills
  • FinTech or Mortgage Domain knowledge.
  • Experience in Evaluation Driven Development.
  • Experience in Agile/SCRUM using Jira.
  • Experience with feature flagging and service/API semantic versioning.
  • Experience building and maintaining effective relationships with product managers, architects, technical leads, and business stakeholders.

Why You Should Join
As one of the top mortgage lenders in the country, Pennymac has helped over 4 million lifetime homeowners achieve and sustain their aspirations of home. Our vision is to be the most trusted partner for home. Together, 4,000 Pennymac team members across the country are guided by our core values: to be Accountable, Reliable and Ethical in all that we do.
Pennymac is committed to conducting a business that makes positive contributions and promotes long-term sustainable growth and to fostering an equitable and inclusive environment, where all employees and customers feel valued, respected and supported.
Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include:
  • Comprehensive Medical, Dental, and Vision
  • Paid Time Off Programs including vacation, holidays, illness, and parental leave
  • Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations)
  • Retirement benefits, life insurance, 401k match, and tuition reimbursement
  • Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships
  • We value the hard work and dedication of our employees. In addition to a competitive salary, positions may offer bonus opportunities.

To learn more about our benefits visit:
https://pennymacnews.page.link/benefits
For residents with state required benefit information, additional information can be found at: https://www.pennymac.com/additional-benefits-information
Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below:
  • Lower in range - Building skills and experience in the role
  • Mid-range - Experience and skills align with proficiency in the role
  • Higher in range - Experience and skills add value above typical requirements of the role

Some roles may be eligible for performance-based compensation and/or stock-based incentives awarded to employees based on company and individual performance.
Salary
$110,000 - $170,000
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