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Hugging Face Jobs in Missouri (NOW HIRING)

Jobgether

$158K/yr

Proven contributions to open-source multimodal AI projects through platforms such as GitHub or Hugging Face. * Research background supported by publications in leading AI conferences or journals is ...

Jobgether

$50.25 - $63.75/hr

AWS certifications (Solutions Architect Professional or Machine Learning Specialty), experience with Hugging Face, RLHF, AI governance frameworks, or infrastructure-as-code tools (Terraform, AWS CDK)

MasterCard

Senior Software Engineer

O Fallon, MO · On-site

$114K - $151K/yr

... Hugging Face) for model development, tuning, or serving Core Engineering Skills Strong Java engineering expertise, including designing, developing, testing, and maintaining scalable, high-performance ...

Walmart

(USA) Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Proficiency in Python and strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision,Hugging Face, GPU deepstream. * Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine ...

Walmart

Staff, Software Engineer - Python/GenAI

Noel, MO · On-site

$110K - $220K/yr

Experience working with or integrating open-source and/or commercial GenAI libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API , or similar. * Ability to productionize and ...

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How much do hugging face jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for hugging face in Missouri is $14.50, according to ZipRecruiter salary data. Most workers in this role earn between $12.16 and $17.12 per hour, depending on experience, location, and employer.

Can you make money on Hugging Face?

Hugging Face is a platform that offers opportunities for data scientists, machine learning engineers, and developers to monetize their skills through jobs, freelance projects, or contributing to open-source models. Earning potential depends on the type of work, experience, and whether you are employed directly or working independently. Building a strong portfolio and expertise in NLP and AI tools can increase income opportunities on the platform.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, educators, and skilled tradespeople, are likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability remain important for job security in an evolving technological landscape.

What are Hugging Face jobs?

Hugging Face jobs refer to employment opportunities at the company focused on developing and maintaining open-source machine learning tools, especially in natural language processing. Roles may include software engineering, research, data science, and product management, often requiring skills in Python, deep learning frameworks, and collaboration in a tech environment.

How much do Hugging Face engineers make?

Hugging Face engineers' salaries vary based on experience, role, and location, but generally range from $100,000 to $180,000 annually. Senior positions and specialized roles in machine learning or software engineering tend to offer higher compensation, often including stock options and benefits.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

What are popular job titles related to Hugging Face jobs in Missouri? For Hugging Face jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Missouri look for? The top searched job categories for Hugging Face jobs in Missouri are:
What cities in Missouri are hiring for Hugging Face jobs? Cities in Missouri with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $30,157 per year, or $14.5 per hour.
Director, Software Engineering (Kansas City)

Director, Software Engineering (Kansas City)

Cengage Group

Kansas City, MO • On-site

$138K - $180K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Director of Software Engineering – Cengage

We believe in the power and joy of learning. At Cengage, we help students around the world discover the power of learning. As a Director of Software Engineering, you will lead innovative products and shape AI-driven engineering teams.

Responsibilities
  • Work with multiple leaders, including the Digital leadership team and business partners, to craft a convincing technical strategy and roadmap(s) to achieve business unit goals.
  • Collaborate across functions to align on priorities for scaling and building our products globally.
  • Identify scalable products and deliver them to support our global customer base, incorporating new technologies and industry trends.
  • Partner with multi-functional leaders, through POM, to standardize and improve development, testing, and release processes, ensuring timely delivery of quality products.
  • Drive product and technology strategy reviews with Product Leaders and senior collaborators, leading strategic technological discussions.
  • Lead high-performing engineering teams, developing a pipeline of high-caliber talent and encouraging leaders to achieve priorities.
  • Cultivate a high-performance, transparent environment passionate about accountability and results.
  • Reinvent and optimize the SDLC using modern frameworks, principles, automation, and generative AI.
  • Champion a culture of continuous learning and professional development, offering team members opportunities to grow.
Skills you will need
  • 5+ years of leadership experience in developing technology strategies and driving innovation.
  • 10+ years of progressive software development experience.
  • Experience leading a global workforce of employees and contractors across different time zones.
  • Expertise in AWS (EC2, S3, Lambda, RDS, CloudFormation), cloud-native development (Kubernetes, Docker, microservices), and Infrastructure as Code (Terraform, AWS CDK).
  • Solid understanding of AI concepts, technologies and methods, including machine learning, language, reasoning & multimodal models, prompt & context engineering, developing and using skills & agent frameworks, RAG, and vector databases.
  • Hands‑on experience integrating or experimenting with commercial and open‑source GenAI technologies and toolkits (e.g., coding assistants, OpenAI, Hugging Face, LangChain).
  • Strong experience in modernizing monolithic architectures, implementing hybrid cloud strategies, and crafting APIs to bridge legacy systems with cloud‑native platforms.
  • Proven ability to compose and build scalable, secure, high‑availability enterprise systems using CI/CD pipelines and automated testing frameworks.
  • Skilled in agile methodologies (Scrum, Kanban, SAFe) and customer‑centric product models to drive iterative development and rapid time‑to‑market.
  • Excellent verbal and written communication skills.
Preferred
  • Bachelor’s degree in computer science or related field, or equivalent combination of education and recent, relevant work experience.
Compensation

Base salary range: $138,200.00 – $180,000.00 USD. You will also be eligible for the company’s discretionary incentive bonus program, with a target of 25% of base salary. Note that the bonus is not guaranteed and is dependent on performance.

Equal Employment Opportunity

Cengage is committed to working with broad talent pools to attract and hire strong and the most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.

Accommodations

Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities during our application process. If you are an applicant with a disability and require reasonable accommodation, please contact us at accommodations.ta@cengage.com.

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