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Phd Machine Learning Jobs in Chicago, IL (NOW HIRING)

Until

Machine Learning Engineer / Scientist

Mundelein, IL

$140K - $240K/yr

About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of ... Preferred Qualifications * 3+ years of relevant professional or research experience, or a PhD in a ...

IMC

Machine Learning Research Lead

Chicago, IL · On-site

$250K - $300K/yr

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... PhD (preferred) or Master's degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of:

micro1 AI

Engineering AI Evaluator (PhD)

Chicago, IL · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Chicago, IL · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

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All JobsPhd Machine Learning JobsPhd Machine Learning Jobs in Chicago, IL

Phd Machine Learning information

See Chicago, IL salary details

$14

$23

$31

How much do phd machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for phd machine learning in Chicago, IL is $23.53, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $26.25 per hour, depending on experience, location, and employer.

What is a PhD in Machine Learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional, and why are they important?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

What cities near Chicago, IL are hiring for Phd Machine Learning jobs? Cities near Chicago, IL with the most Phd Machine Learning job openings:
Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $48,938 per year, or $23.5 per hour.
Principal Architect - Machine Learning

Principal Architect - Machine Learning

United Airlines, Inc.

Chicago, IL • On-site

Full-time

Re-posted 12 days ago

United Airlines rating

7.8

Company rating: 7.8 out of 10

Based on 337 frontline employees who took The Breakroom Quiz

9th of 26 rated airlines

Job description

Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities
United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with ML engineers, data scientists and data engineers. This role will design, architect, implement and lead key components of the Machine Learning Platform, Gen AI/ML business use cases, and establish processes and best practices.
  • Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United
  • Set up containers and Serverless platform with cloud infrastructure
  • You will design and develop tools and apps to enable ML automation using AWS ecosystem
  • Build data pipelines to enable ML models for batch and real-time data
  • Hands on development expertise of Spark and Flink for both real time and batch applications
  • Support large scale model training and serving pipelines in distributed and scalable environment
  • Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies - NumPy, data science packages like sci-kit, microservices architecture
  • Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them
  • Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-end lifecycle of large language models
  • Develop, optimize, fine-tune Generative AI/LLM models to improve performance and accuracy and deploy them

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Bachelor's degree in
    Computer Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required
  • 5+ years of software engineering experience with languages such as Python, Go, Java, or C/C++
  • 5+ years of experience in machine learning, deep learning, and natural language processing
  • Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++
  • Strong technical leadership and familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production ML pipelines
  • Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, CatBoost, Deep Learning, etc
  • Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context
  • Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS CodePipeline; preferably experience with GitOps using tools such as ArgoCD, Flux, or Jenkins X
  • Experience with generative models such as GANs, VAEs, and autoregressive models
  • Prompt engineering: Ability to design and craft prompts that evoke desired responses from LLMs
  • LLM evaluation: Ability to evaluate the performance of LLMs on a variety of tasks, including accuracy, fluency, creativity, and diversity
  • LLM debugging: Ability to identify and fix errors in LLMs, such as bias, factual errors, and logical inconsistencies
  • LLM deployment: Ability to deploy LLMs in production environments and ensure that they are reliable and secure
  • Experience with LLMOps (Large Language Model Operations) or AgenticOps (Agentic Operations) to manage the end-to-end lifecycle of large language models
  • Experience with generative ai methods such as retrieval augmented generation (RAG) and instruction fine tuning
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualification
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • Master's/PhD degree in
    Computer Science or related STEM field
  • 5 + years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS
  • 5 + years of experience with Big Data technologies such as Spark, Flink and SQL programming
  • 5 + years of experience with cloud-native DevOps, CI/CD
  • 3 - 5 + years of relevant enterprise Architecture experience
  • 1+ years of experience with Generative AI/LLMs

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media

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