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Gradient Jobs in Minnesota (NOW HIRING)

SAPSOL Technologies Inc

Medical Engineer

Rochester, MN · On-site

Oscillating Gradient Diffusion (OGSE/OGD) in collaboration with Vanderbilt University , and * FLORET‑based UTE imaging (non‑Cartesian) in collaboration with Cincinnati Children's Hospital . The ...

Varsity Tutors

Adobe Illustrator Tutor

Edina, MN · 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

Saint Paul, MN · 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

Minneapolis, MN · 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 ...

Luson Media, LLC

Digital Designer

Arden Hills, MN · On-site +1

$50K - $60K/yr

About Luson Media Luson Media is the in-house branding, marketing, and public relations agency supporting independent financial professionals nationwide, as well as the Gradient Financial Group ...

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All JobsGradient JobsGradient Jobs in Minnesota

Gradient information

See Minnesota salary details

$8

$25

$60

How much do gradient jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for gradient in Minnesota is $25.59, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $29.90 per hour, depending on experience, location, and employer.

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.

What is a gradient?

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 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 Minnesota? For Gradient jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Gradient jobs in Minnesota look for? The top searched job categories for Gradient jobs in Minnesota are:
What cities in Minnesota are hiring for Gradient jobs? Cities in Minnesota with the most Gradient job openings:
Gradient jobs near you
Infographic showing various Gradient job openings in Minnesota as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $53,236 per year, or $25.6 per hour.

Medical Engineer

Sapsol Technologies Inc

Rochester, MN

Contractor

Re-posted 9 days ago

Job description

Role Summary

This role supports the development, integration, and validation of advanced MRI methods across two research workstreams:

  • Oscillating Gradient Diffusion (OGSE/OGD) in collaboration with Vanderbilt University, and
  • FLORETbased UTE imaging (nonCartesian) in collaboration with Cincinnati Children's Hospital.

The engineer will coordinate program execution while contributing technically to pulse sequence implementation, image reconstruction and software refinement, and data processing within the Philips MRI research environment. The emphasis is on program oversight, technical coordination, and collaborative execution, rather than independent subjectmatter leadership in diffusion MRI or FLORET.

Note: This role focuses on technical engagement and delivery. It does not include clinical trial operations or regulatory ownership.

Core Responsibilities

A) Technical Development - Pulse Sequence (OGSE/OGD)

  • Refine and extend existing OGSE pulse sequence code in the Philips research environment.
  • Implement additional features, improve robustness, and ensure correct sequence functionality.
  • Support deployment and onscanner integration on Philips MRI systems.
  • Contribute to related data processing and image reconstruction workflows when required.

B) Image Reconstruction & Software Development (FLORET / NonCartesian)

  • Implement and validate nonCartesian MRI reconstruction pipelines (including those supporting FLORET UTE acquisitions).
  • Support software deployment and integration of reconstruction tools within Philips research systems.
  • Refine reconstruction workflows, add new features, and improve system interfaces and usability.
  • Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior.

C) Experimental Collaboration & Validation

  • Coordinate experiment planning with Vanderbilt researchers, Cincinnati Children's teams, and clinical MRI staff.
  • Support execution of scanner experiments as needed.
  • Assist with validation of OGSE and FLORET acquisition outputs through systematic testing and comparative analysis.
  • Prepare technical validation summaries/reports and ensure outputs align with program deliverables and milestones.
  • Document results, assumptions, and change histories with strong discipline.

Qualifications

Required

  • Strong familiarity with vendorspecific MRI pulse sequence programming (preferably Philips research environments).
  • Solid foundations in MRI reconstruction, including nonCartesian methods, and software engineering.
  • Handson experience with C++ / Python / MATLAB for algorithm and tooling development.
  • Ability to collaborate effectively across industry and academic partners; clear written and verbal communication.
  • Proven ability to operate under hardware constraints and in structured, sprintbased execution models.

Preferred

  • Master's or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, or related field.
  • Experience with Philips MRI research environments (e.g., research interfaces, integration workflows).
  • Exposure to OGSE/OGD diffusion methods and/or FLORET UTE imaging (deep expertise not required).
  • Experience with MRI data processing, QA/QC, and validation workflows.

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