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Gradient Jobs in Illinois (NOW HIRING)

66degrees

Talent Development Specialist

Chicago, IL · On-site

Support the end-to-end execution of the US Gradient program lifecycle, including hiring coordination, onboarding, training operations, capstone execution, and transition-to-delivery readiness.

Varsity Tutors

Adobe Illustrator Tutor

Lake Forest, IL · Remote

$18 - $40/hr

Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color management, gradient and pattern fills, artboard management, export settings, and print and digital ...

Varsity Tutors

Adobe Illustrator Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color management, gradient and pattern fills, artboard management, export settings, and print and digital ...

Varsity Tutors

Adobe Illustrator Tutor

Des Plaines, IL · Remote

$18 - $40/hr

Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color management, gradient and pattern fills, artboard management, export settings, and print and digital ...

Varsity Tutors

Adobe Illustrator Tutor

Naperville, IL · Remote

$18 - $40/hr

Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color management, gradient and pattern fills, artboard management, export settings, and print and digital ...

Varsity Tutors

Adobe Illustrator Tutor

Wheaton, IL · Remote

$18 - $40/hr

Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color management, gradient and pattern fills, artboard management, export settings, and print and digital ...

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All JobsGradient JobsGradient Jobs in Illinois

Gradient information

See Illinois salary details

$7

$23

$54

How much do gradient jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for gradient in Illinois is $23.11, according to ZipRecruiter salary data. Most workers in this role earn between $13.29 and $27.00 per hour, depending on experience, location, and employer.

Is Gradient a good company to work for?

Gradient is a company that offers roles in data science and machine learning, often requiring skills in programming and analytics. Employee reviews indicate varying experiences, with some citing a collaborative environment and others noting workload concerns. Prospective employees should research company culture and review current employee feedback for a comprehensive understanding.

What is the difference between Gradient vs Data Analyst?

AspectGradientData Analyst
Required CredentialsTypically requires a background in machine learning, data science, or related fields, often with programming skillsUsually requires a degree in statistics, mathematics, or business, with proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily in tech companies, startups, or research labs focusing on AI and machine learning projectsCommonly in corporate, finance, healthcare, or marketing sectors analyzing business data
Employer & Industry UsageUsed in AI development, machine learning projects, and data science teamsUsed across industries for business insights, reporting, and decision-making

While both Gradient and Data Analyst roles involve working with data, Gradient focuses more on machine learning and AI development, requiring programming and technical expertise. Data Analysts primarily interpret and visualize data to support business decisions, often with less emphasis on coding. Understanding these differences helps in choosing the right career path or job search focus.

Why are Gen Z struggling to find jobs?

Gen Z job seekers often face challenges such as limited work experience, high competition, and employers' preference for candidates with specific skills or certifications. Additionally, economic factors and shifts toward remote work can impact their access to opportunities and entry-level positions.

What are Gradient jobs?

Gradient jobs typically refer to roles related to machine learning, artificial intelligence, or technology companies named 'Gradient.' In the context of machine learning, gradients are mathematical tools used in optimization algorithms, such as gradient descent, which is fundamental to training AI models. Professionals working in Gradient jobs might focus on developing, implementing, or optimizing these algorithms, or they could be employed by organizations that provide AI infrastructure or platforms, like Gradient from Paperspace. The responsibilities can range from research and development to software engineering, depending on the specific job role and employer.

What are some common challenges faced by machine learning engineers working on gradient-based optimization techniques?

Machine learning engineers focusing on gradient-based optimization often encounter challenges such as vanishing or exploding gradients, which can hinder model training, especially in deep neural networks. Debugging issues related to convergence, learning rate selection, and ensuring numerical stability are key aspects of the role. Collaboration with data scientists and researchers is essential to refine models and experiment with different optimization strategies. Staying updated with the latest advancements in algorithms and techniques also helps address these challenges effectively.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions in large corporations can earn over $1 million annually through salaries, bonuses, and stock options. Additionally, successful entrepreneurs, top-tier investment bankers, hedge fund managers, and certain professional athletes or entertainers may reach this income level, often requiring extensive experience, specialized skills, and significant responsibility.

What jobs pay 4000 a week without a degree?

High-paying jobs that can pay around $4,000 a week without a degree include roles such as commercial truck drivers, real estate brokers, and certain skilled trades like electricians or plumbers. These positions often require specialized training, certifications, or experience but do not necessarily require a college degree.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer specializing in gradient-based optimization, and why are they important?

To thrive as a Machine Learning Engineer focused on gradient-based optimization, you need a solid background in mathematics, statistics, and computer science, often with a degree in a related field. Expertise in frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of optimization algorithms are typically required, with certifications in data science or machine learning considered valuable. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and explain complex concepts. These skills ensure that you can design, implement, and refine machine learning models that rely on gradient-based methods for optimal performance.
What are popular job titles related to Gradient jobs in Illinois? For Gradient jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Gradient jobs in Illinois look for? The top searched job categories for Gradient jobs in Illinois are:
Gradient jobs near you
Infographic showing various Gradient job openings in Illinois as of July 2026, with employment types broken down into 59% Full Time, 39% Part Time, and 2% Contract. Highlights an 48% Physical, and 52% Remote job distribution, with an average salary of $48,078 per year, or $23.1 per hour.
Postdoctoral Appointee - mmWave Wakefield Accelerator Development

Postdoctoral Appointee - mmWave Wakefield Accelerator Development

Argonne National Laboratory

Lemont, IL

$70K - $117K/yr

Full-time

Re-posted 6 days ago

Job description

Argonne National Laboratory's Accelerator Science Division is seeking a Postdoctoral Appointee to contribute to the development of a Sub- THz Collinear Structural Wakefield Accelerator. This exciting project focuses on further development of beam position monitoring structures and high gradient testing of components.

They will play a key role in designing, fabricating, and testing advanced accelerator structures, as well as conducting beam-based experiments.

Key Responsibilities:

  • Assist in the design and testing of beam diagnostic device operating at mmWave frequencies.

  • Assist in conducting beam-based experiments, including accelerating gradient tests and breakdown studies of accelerating components.

  • Collaborate with the APS/ASD mechanical engineering group on the fabrication of accelerator components.

  • Work closely with a beam diagnostics physicist and controls group engineer to install and optimize diagnostic systems.

  • Develop and integrate mmWave diagnostics equipment for beam position monitoring and gradient tests.

  • Participate in training opportunities, including attending the US Particle Accelerator School (USPAS).

Position Requirements

  • PhD completed in the past 5 years or soon to complete it in Physics with a focus on accelerator physics, or Electrical Engineering with a focus on RF/Accelerator Physics

  • Strong background in accelerator physics and beam diagnostics.

  • Excellent problem-solving skills and the ability to work both independently and collaboratively.

  • Strong written and verbal communication skills, with a demonstrated ability to present research findings.

  • Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory.

  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.

Preferred Knowledge, Skills, and Experience

  • Experience with THz or mmWave instrumentation and measurements.

  • Familiarity with high-gradient acceleration and wakefield accelerator concepts.

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full timeThe expected hiring range for this position is $70,758.00-$117,925.00.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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