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Scientific Machine Learning Jobs in Minnesota (NOW HIRING)

Autodesk

$106K - $138K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Bachelor's degree in Computer Science, Engineering, or equivalent experience * 7+ years of ...

Jostens

Data Scientist

Minneapolis, MN · Hybrid

DATA SCIENTIST HYBRID | ONSITE AT JOSTENS' MINNEAPOLIS HEADQUARTERS 3 DAYS/WEEK ABOUT YOU: This ... Build and maintain predictive and machine learning models by using techniques such as logistic ...

Jostens

Data Scientist

Minneapolis, MN · On-site

DATA SCIENTIST HYBRID | ONSITE AT JOSTENS' MINNEAPOLIS HEADQUARTERS 3 DAYS/WEEK ABOUT YOU: This ... Build and maintain predictive and machine learning models by using techniques such as logistic ...

Deloitte

AI Engineer - SFL Scientific

Minneapolis, MN · On-site

They are seeking an AI Engineer to work alongside data scientists and machine learning engineers to develop AI infrastructure and deployment services, focusing on modern data architecture and ...

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Scientific Machine Learning information

Is ML a high paying job?

Scientific Machine Learning roles typically offer high salaries due to the specialized skills required, such as expertise in deep learning, data analysis, and programming with tools like Python and TensorFlow. Compensation varies by industry, experience, and location but generally exceeds average tech salaries for comparable roles.

Which 3 jobs will survive AI?

Scientific Machine Learning professionals will likely continue to be in demand due to their expertise in developing and applying AI models to complex scientific problems. Roles such as data scientists, AI researchers, and machine learning engineers are expected to persist because they require specialized knowledge, critical thinking, and ongoing innovation that AI tools complement rather than replace. These jobs often involve interdisciplinary skills, programming, and understanding of domain-specific data, making them more resilient to automation.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are some common challenges faced by professionals in Scientific Machine Learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

How much does a machine learning scientist make?

A machine learning scientist typically earns between $90,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in deep learning or natural language processing can earn higher salaries, often exceeding $180,000.

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

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

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

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

Is 40 too late for data science?

Scientific Machine Learning roles often value skills and experience over age, and many professionals transition into data science or machine learning at various stages of their careers. Learning relevant tools like Python, TensorFlow, or scikit-learn and gaining practical experience can help regardless of age, making 40 not too late to pursue this field.
What are popular job titles related to Scientific Machine Learning jobs in Minnesota? For Scientific Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Scientific Machine Learning jobs in Minnesota look for? The top searched job categories for Scientific Machine Learning jobs in Minnesota are:
What cities in Minnesota are hiring for Scientific Machine Learning jobs? Cities in Minnesota with the most Scientific Machine Learning job openings:
Scientific Machine Learning jobs near you
Infographic showing various Scientific Machine Learning job openings in Minnesota as of June 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.
Technical Project Manager - Machine Learning & Data Science

Technical Project Manager - Machine Learning & Data Science

Cadmus, LLC

Saint Paul, MN

$105K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Overview

What You’ll Be Doing

Cadmus is seeking a Technical Project Manager (TPM) with a passion for delivering high quality projects in a complex, fast paced environment to support a major commercial client in the automotive entertainment space. You will work with machine-learning (ML), data science/Artificial Intelligence (DS/AI), data engineering, and analytics teams to deliver initiatives that support the enterprise’s data needs. You will function as a TPM authority and team leader, owning programs that span multiple teams and systems, improving delivery processes, and serving as a key liaison with program stakeholders. We are looking for someone who is results-oriented and comfortable with facilitating engineering teams to predictably meet commitments and successfully deliver high quality products and features. Your success will be achieved through clear communication and collaboration among the team, removing impediments, enabling flexibility and rapid respond to change, and providing leadership grounded in trust, transparency, and kindness.

Who We Are

Cadmus provides government, commercial, and other private organizations worldwide with technology-empowered advisory and implementation services. We help our clients achieve their goals and drive lasting, impactful change by leveraging transformative digital solutions and unparalleled expertise across domains.

At Cadmus, we look for team players and problem solvers who are driven to use their unique perspectives and intellectual curiosity to help deliver breakthrough solutions that achieve transformative goals. As a member of our team, you'll collaborate with leading experts to support our clients across the globe. We offer competitive compensation, outstanding health care and retirement benefits, a vibrant and collaborative work environment, and ample opportunities for professional growth.

Join Cadmus. Together, we are strengthening society and the natural world. For more information, visit cadmusgroup.com .

Responsibilities

  • Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision, goals, and objectives of the company. Coordinate activities with internal teams and external partners.

  • Oversee end-to-end activities to ensure coordination and on-time delivery. Build integrated schedules based on an understanding team’s activities and interdependencies between teams. Manage removing blockers, risks, and issues. Report program status.

  • Lead Agile ceremonies and assist with story definition, backlog prioritization, and dependency resolution.

  • Help Engineering teams balance scope, timeline, and quality to achieve optimal outcomes based on an understanding of priorities.

  • Advocate for clear priorities, technical excellence, process and best practices adherence, and customer-focused outcomes.

  • Influence without authority and drive consensus across diverse stakeholders.

Qualifications

  • 5+ years of experience as a Technical Project Manager or Scrum Master, managing cross-functional projects.

  • Bachelor’s degree in Information Systems, BI or Analytics or Engineering.

  • Strong technical proficiency and experience working with Machine Learning (ML) or Data Science/Artificial Intelligence (DS/AI) teams.

  • Experience managing large, ambiguous, cross-functional programs operating in fast-paced, highly collaborative environments.

  • Experience performing TPM best practices (e.g., schedule development and tracking, risk management, status reporting).

  • Experience regularly maintaining and reporting program data, preferably in Jira.

  • Deep understanding of Agile and SDLC methodologies and leading/modeling process adherence.

  • Excellent communication and problem-solving skills.

  • Ability to facilitate teams and individuals working collaboratively and efficiently.

  • A composed presence, business acumen, and ability to communicate at multiple levels of the organization.

  • Experience with automation and/or AI tools such as ChatGPT, Gemini, etc.

  • Preferred certifications: PMP or Scrum Master.

Additional Information:

Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.

Based on eligibility and job status, Cadmus offers an excellent benefits package to include: medical, dental, vision, company paid disability and life insurance, 401(k) program, paid time off (PTO), paid holidays, voluntary time off (VTO), tuition reimbursement, adoption assistance program, other optional benefits and various bonus programs.

The minimum starting salary for this position is $105,000. The actual salary may be higher and will be determined by several factors, including relevant work experience, education, skills, and market competitiveness.

We value the critical role safety and health protocols contribute to everyone’s success at Cadmus, and work together to align and comply with all federal, state, and local safety and health mandates to ensure a safe and valuable work environment.

Cadmus is an Equal Opportunity Employer and prohibits unlawful discrimination. Cadmus is committed to providing a respectful workplace where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, sex (including pregnancy), sexual orientation (including gender identity and/or expression), national origin, military and veteran status, physical and mental disability, or any other characteristic protected by applicable law.

Learn more about Cadmus by visiting our website at: cadmusgroup.com

Job Locations US

Posted Date 1 month ago (5/8/2026 12:02 PM)

Job ID 2026-3160

# of Openings 1

Category Information Technology

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