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Gradient Jobs in Minnesota (NOW HIRING)

Need project/program management skills with basic SW and MRI understanding (preferred) Our customer is trying to develop some SW related to 2 MRI workstreams namely oscillating gradient diffusion ...

Director of Compliance

Arden Hills, MN · On-site

$95K - $125K/yr

Gradient Financial Group is a financial services organization with twelve specialized entities, including RIA Registrar, which supports Registered Investment Advisories (RIAs) and Financial Services ...

Gradient Financial Group is a financial services organization with twelve specialized entities, including Luson Media which is a full-service branding, marketing, and public relations agency built ...

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Gradient Financial Group is a financial services organization with twelve specialized entities, including Luson Media which is a full-service branding, marketing, and public relations agency built ...

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Gradient information

See Minnesota salary details

$8

$25

$60

How much do gradient jobs pay per hour?

As of Jun 11, 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 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 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 cities in Minnesota are hiring for Gradient jobs? Cities in Minnesota with the most Gradient job openings:
Infographic showing various Gradient job openings in Minnesota as of June 2026, with employment types broken down into 52% Full Time, 47% Part Time, and 1% Contract. Highlights an 46% Physical, and 54% Remote job distribution, with an average salary of $53,236 per year, or $25.6 per hour.

$175K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Are you an experienced investment professional who excels at building high-quality portfolio strategies and trusted advisor relationships? Do you enjoy leveraging robust research tools to deliver thoughtful, market-driven solutions while serving as a strategic resource to financial professionals? As an investment portfolio manager at Gradient, you don’t just follow the markets, you bring a clear point of view. Here, you’ll put that perspective into action by generating investment ideas, making active buy/sell decisions, managing portfolios, and serving as a trusted resource for the financial advisors who rely on us every day.
Gradient Financial Group is a financial services organization with twelve specialized entities, including Gradient Investments, an independent, SEC registered investment advisor firm.

What You’ll Do
  • Actively manage multiple portfolio strategies, making real-time stock and ETF buy/sell decisions grounded in fundamental research
  • Generate investment ideas using robust research tools and translate them into actionable portfolio recommendations
  • Serve as a strategic resource for financial advisors, fielding questions on positioning, products, and market themes.
  • Appear on national financial news networks (CNBC, Bloomberg, Schwab Network, etc.)
  • Build lasting relationships with financial advisors and colleagues who depend on your expertise
  • Operate with urgency in a fast-moving market environment, making well-reasoned decisions quickly and confidently
  • Collaborate daily with a driven institutional quality investment team, sharing ideas, and raising the bar together
  • Gradient Investments fosters a culture of growth, where team members continuously take on greater responsibility as the firm expands its investment capabilities and broadens its advisor network.

What you Bring
  • Bachelor’s Degree – Required
  • Master’s Degree – Preferred
  • CFA – preferred
  • 7+ Years of Investment Management Experience – Required
  • Public Company Analysis/Modeling/Valuation Experience – Required
  • Prior Stock Selection and or ETF Allocation Experience – Required
  • Proficient knowledge of security/asset selection and investment allocation
  • Proficient knowledge of a variety of investments including stocks, bonds, ETFs and alternative assets
Our Benefits
  • Competitive compensation and comprehensive benefits
  • 4 weeks of accrued PTO, plus 9 paid holidays
  • Medical, dental, vision, life insurance, and 401(k)
  • 8 hours of paid volunteer time off (VTO)
  • Ability to work in-office four days per week with one remote workday
  • Ongoing professional development and training
  • A collaborative team that values expertise, initiative, and growth
Why You’ll Love Working Here
  • Work inside a vertically integrated financial services organization with twelve specialized entities where your investment decisions have real reach
  • A collaborative culture that holds high expectations and backs them with genuine support and growth opportunities
  • Direct impact: your ideas shape the portfolios that advisors bring to their clients every day
At Gradient, we set high expectations, but we back them with support, collaboration, and opportunities to grow. If you’re positive, driven, and enjoy working alongside motivated teammates, you’ll feel right at home. Check out more amazing opportunities here: https://www.careers.gradientfinancialgroup.com/