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Hugging Face Jobs in Chicago, IL (NOW HIRING)

DV Trading

Senior AI Engineer

Chicago, IL

$200K - $300K/yr

Familiarity with the open model ecosystem (Hugging Face, model cards, licensing Benefits: * Discretionary bonus eligibility * Medical, dental, and vision insurance * HSA, FSA, and Dependent Care ...

Ecolab

Principal AI Architect

Naperville, IL · On-site

LLM APIs (OpenAI, Hugging Face, Anthropic, MosaicML), transformer architectures, RAG workflows, LLMOps frameworks (prompt lifecycle, monitoring). * LLMOps frameworks (prompt lifecycle, monitoring ...

Publicis Groupe Holdings B.V

Director AI

Chicago, IL · On-site

Proven experience with AI/ML tools (e.g., TensorFlow, Azure ML, OpenAI, Hugging Face), and automation platforms (UiPath, Automation Anywhere, Power Automate, etc.). * Strong understanding of GenAI ...

Ecolab

Principal AI Architect

Naperville, IL · Hybrid

LLM APIs (OpenAI, Hugging Face, Anthropic, MosaicML), transformer architectures, RAG workflows, LLMOps frameworks (prompt lifecycle, monitoring). * LLMOps frameworks (prompt lifecycle, monitoring ...

Verisk

Architect - DevEx Strategy

Burr Ridge, IL · On-site

$120K - $165K/yr

Experience with AI/ML lifecycle tooling or ML platforms (SageMaker, Hugging Face, OpenAI/Anthropic APIs, etc.). * Knowledge of prompt engineering, retrieval-augmented generation (RAG), embedding ...

Publicis Groupe Holdings B.V

Director AI

Chicago, IL · On-site

Proven experience with AI/ML tools (e.g., TensorFlow, Azure ML, OpenAI, Hugging Face), and automation platforms (UiPath, Automation Anywhere, Power Automate, etc.). * Strong understanding of GenAI ...

Verisk

Architect - DevEx Strategy

Burr Ridge, IL

Experience with AI/ML lifecycle tooling or ML platforms (SageMaker, Hugging Face, OpenAI/Anthropic APIs, etc.). * Knowledge of prompt engineering, retrieval-augmented generation (RAG), embedding ...

DV Trading

Senior AI Engineer

Chicago, IL · On-site

$200K - $300K/yr

Familiarity with the open model ecosystem (Hugging Face, model cards, licensing Benefits: * Discretionary bonus eligibility * Medical, dental, and vision insurance * HSA, FSA, and Dependent Care ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX ...

iManage

Senior AI Engineer

Chicago, IL · On-site

$180K - $220K/yr

Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face * Solid understanding of ML fundamentals including hands-on experience with both traditional ML and modern ...

Arrive Logistics

Data Scientist II

Chicago, IL · On-site

Experience with Hugging Face Transformers for text classification or related NLP tasks. * Experience contributing to evaluation frameworks, test sets, or performance diagnostics for ML systems ...

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How much do hugging face jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for hugging face in Chicago, IL is $15.94, according to ZipRecruiter salary data. Most workers in this role earn between $13.37 and $18.85 per hour, depending on experience, location, and employer.

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 Chicago, IL? For Hugging Face jobs in Chicago, IL, the most frequently searched job titles are:
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Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $33,146 per year, or $15.9 per hour.

Senior AI Engineer

DV Trading

Chicago, IL

$200K - $300K/yr

Full-time

Re-posted 12 days ago

Job description

About Us:

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:

DV Trading is building a centralized AI function and is now hiring for the model layer. The long-term goal is for DV to own its model capability — not to be permanently dependent on what frontier providers choose to offer, at what price, for how long. This role is how that happens: fine-tuning and distilling open-weight models for DV-specific tasks, operating the inference infrastructure to run them on-prem, and building the
model gateway that routes intelligently across open and closed providers. The near-term result is lower cost and better latency. The long-term result is a firm that controls its own AI stack.

Job Responsibilities:

  • Build and operate a model gateway routing inference across open and closed models with cost, latency, and quality tracking
  • Design and run distillation pipelines: use frontier model outputs to generate training data for task-specific open models
  • Fine-tune and evaluate open-weight models (Llama, Qwen, Mistral, or similar) for DV-specific tasks
  • Deploy and maintain on-prem inference infrastructure (vLLM, TGI, or equivalent) on KubernetesBuild model evaluation frameworks for quality, cost, latency, and regression
  • Define criteria and tooling for model selection: when open models are production-ready vs. when to use closed APIs
  • Partner with the agent engineering team to ensure the model layer meets agent workload

Requirements:

  • 5+ years software engineering; strong Python
  • Production fine-tuning or distillation of open-weight models (not just inference API wrappers)
  • Experience serving LLMs on-prem (vLLM, TGI, Triton, or equivalent)
  • Experience managing GPU infrastructure (provisioning, scheduling, utilization monitoring) in a production environment
  • Model evaluation and regression testing in production
  • Kubernetes and GPU workload management
  • Strong grasp of the tradeoffs between open and closed models across cost, quality, latency, and data sensitivity

Preferred:

  • Quantization, PEFT/LoRA, or other efficient training techniques
  • Model gateway or inference proxy design (routing, fallback, rate limiting)
  • Financial services or other regulated/sensitive-data environments
  • Familiarity with the open model ecosystem (Hugging Face, model cards, licensing

Benefits:

  • Discretionary bonus eligibility
  • Medical, dental, and vision insurance
  • HSA, FSA, and Dependent Care Options
  • Employer Paid Group Term Life and AD&D insurance
  • Voluntary LTD, Life & AD&D insurance
  • Flexible Vacation policy
  • Retirement plan with employer match

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

The range below reflects the expected base salary for this position. It represents a good-faith estimate of the base pay we anticipate offering, with actual compensation determined by your experience, education, skills, and performance throughout the interview process. This role is also eligible for a discretionary bonus (at DV Trading's discretion) and DV Trading's benefits package, including the benefits listed above.

Base Salary Range
$200,000—$300,000 USD