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Senior Meta Machine Learning Jobs in Minneapolis, MN

Pwc

CTIO - AI Engineer- Senior Manager

Minneapolis, MN · On-site

$91K - $321K/yr

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

Ryan Companies US Inc

Senior Data Engineer

Minneapolis, MN · On-site

$115 - $144/hr

The Senior Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan ...

New

Ryan Companies Inc.

Senior Data Engineer

Minneapolis, MN · On-site

$115 - $144/hr

The Senior Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan ...

Ryan Companies

Senior Data Engineer

Minneapolis, MN · Hybrid

$115K - $144K/yr

The Senior Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan ...

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Senior Meta Machine Learning information

See Minneapolis, MN salary details

$26.1K

$83.8K

$170.7K

How much do senior meta machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior meta machine learning in Minneapolis, MN is $83,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,300.00 and $107,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

What are the most commonly searched types of Meta Machine Learning jobs in Minneapolis, MN?

The most popular types of Meta Machine Learning jobs in Minneapolis, MN are:

What are popular job titles related to Senior Meta Machine Learning jobs in Minneapolis, MN?

For Senior Meta Machine Learning jobs in Minneapolis, MN, the most frequently searched job titles are:

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The top searched job categories for Senior Meta Machine Learning jobs in Minneapolis, MN are:

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Cities near Minneapolis, MN with the most Senior Meta Machine Learning job openings:

Senior Meta Machine Learning jobs near you

Senior AI Engineer

Ultimus Fund Solutions

Minneapolis, MN • On-site

$150 - $200/hr

Other

Posted 22 days ago

Job description

Posted Tuesday, August 4, 2026 at 4:00 AM | Expires Tuesday, August 25, 2026 at 3:59 AM

Position Summary

The Senior AI Engineer will own the end-to-end technical lifecycle of enterprise AI models—from data pipeline architecture to deployment and monitoring. The role will partner with AI Data Scientists and AI Developers to operationalize models, ensure robust data governance, and deliver measurable technical outcomes including improved system scalability and reduced latency. The role requires a hands-on technical leader who can balance complex engineering with practical business application and drive technical alignment across the AI department.

Key Responsibilities
  • Architect and scale machine learning pipelines to support automated workflows across Fund Accounting, Transfer Agency, and Onboarding
  • Oversee the development and deployment of robust AI infrastructure leveraging enterprise data lakes and cloud platforms
  • Lead technical initiatives to integrate AI capabilities into existing legacy systems and financial platforms
  • Establish MLOps best practices and technical KPIs tied to system uptime, model latency, and infrastructure efficiency
  • Mentor junior engineering staff and advise the Managing Director on technical priorities and secure AI governance
Qualifications
  • 7+ years of experience across software engineering, data engineering, or machine learning operations
  • Demonstrated ability to architect scalable data pipelines and deliver measurable technical outcomes
  • Deep expertise in Python, SQL, and enterprise cloud data platforms
  • Ability to work effectively with business operations to translate operational needs into technical architecture
  • Experience in financial services or fund administration preferred but not required
  • Strong technical leadership and mentoring skills
  • Operator mindset with a focus on execution and reliable technical outcomes

Ultimus is an equal opportunity employer and does not discriminate on the basis of the applicant’s or employee’s race, color, religion, national origin, ancestry, gender, sexual orientation, age, disability, veteran or military status, genetic information, citizenship or any other status entitled to protection under federal, state or local anti-discrimination laws. No questions on our employment application are intended to secure information that is to be used for impermissible purposes.

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