ZipRecruiter

Log In

1

Machine Learning Jobs in Minneapolis, MN (NOW HIRING)

Precision Technologies Corp

GCP ML Architect - Data

Chaska, MN · On-site

$68.25 - $88/hr

Responsible for designing, implementing, and managing data and machine learning solutions on Google Cloud Platform * Key Responsibilities: * Design end-to-end data solutions, including data ingestion ...

Jobtailor

Senior Data Scientist

Minneapolis, MN · On-site

$120 - $180/hr

Expertise in data science, machine learning, data mining, operations research, and statistical modeling techniques, specifically for high-volume and complex datasets. * Knowledge of best coding ...

New

Tror AI for everyone

AI/ML Architect

Minneapolis, MN · Remote

Define the right AI approach across machine learning and Generative AI initiatives * Establish architecture standards, reusable patterns, and best practices for AI development * Guide integration of ...

Pwc

AI Engineer

Minneapolis, MN · On-site

$55K - $187K/yr

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing scalable machine learning models using Python and TensorFlow - Integrating data ...

Mercy

Ada - Sonography Intern - PRN

Anoka, MN

This position provides hands-on training and exposure to diagnostic imaging techniques, with a focus on learning the practical and theoretical aspects of ultrasound technology. The intern will assist ...

Agiliti Health, Inc.

Data Scientist

Eden Prairie, MN · On-site

$93K - $150K/yr

Design and develop machine learning solutions to optimize workflows and processes. * Deploy and monitor machine learning models within the Databricks environment. * Collaborate with Business Analysts ...

previous page

Showing results 41-60

All JobsMachine Learning JobsMachine Learning Jobs in Minneapolis, MN

Machine Learning information

See Minneapolis, MN salary details

$26.6K

$44.4K

$91.9K

How much do machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning in Minneapolis, MN is $44,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Minneapolis, MN? The most popular types of Machine Learning jobs in Minneapolis, MN are:
What are popular job titles related to Machine Learning jobs in Minneapolis, MN? For Machine Learning jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Minneapolis, MN look for? The top searched job categories for Machine Learning jobs in Minneapolis, MN are:
What cities near Minneapolis, MN are hiring for Machine Learning jobs? Cities near Minneapolis, MN with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, 1% Temporary, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,449 per year, or $21.4 per hour.

Staff Engineer, Machine Learning Life Sciences

Inari Agriculture, Inc.

North Oaks, MN • On-site

$148.53 - $204.25/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New

Job description

About the role

Inari is seeking a Staff Machine Learning Engineer to join our AI Team in support of our mission of transforming agriculture through predictive design and advanced gene editing. This role will focus on delivering production‑ready ML pipelines using existing models while also exploring new modeling approaches to advance our ability to drive step‑change trait improvement in crops. As an individual contributor at staff level, you will drive major workstreams with autonomy while collaborating closely with cross‑functional teams of computational biologists, software engineers, and crop scientists.

Responsibilities
  • Build, deploy, and maintain production ML pipelines and infrastructure to serve predictions at scale, including model versioning, monitoring, and lifecycle management.
  • Integrate ML systems with genomic, phenotypic, and biological data platforms using AWS and containerization technologies.
  • Partner with computational and experimental biologists to contextualize heterogeneous biological data and drive research‑critical modeling programs.
  • Train and validate statistical and ML models; prototype new approaches and evaluate feasibility for production deployment.
  • Implement integrations with strategic third‑party tools, foundation models, and AI agents; stay current with ML research to identify applicable methods.
  • Drive major workstreams autonomously while collaborating effectively with teammates and cross‑functional stakeholders.
  • Communicate technical results clearly across disciplines and contribute to technical decisions, code reviews, and engineering standards.
Qualifications
  • Required education and experience: MS or PhD in Computer Science, Engineering, Statistics, Mathematics, Computational Biology, or related field (or BS with equivalent experience); 6+ years of ML engineering experience with an emphasis on production systems.
  • Production ML: Proven ability to deploy, maintain, and monitor ML models and pipelines at scale.
  • Python & frameworks: Advanced scientific Python (NumPy, Pandas, scikit‑learn) and hands‑on experience with PyTorch and/or TensorFlow, including training and deploying neural networks.
  • Cloud & MLOps: Experience with AWS (EC2, S3, SageMaker), containerization (Docker), experiment tracking (MLflow), and workflow orchestration (Airflow or equivalent).
  • Cross‑disciplinary collaboration: Comfortable interfacing with biologists and life scientists, translating between biological and ML framings, and communicating technical results to diverse audiences.
  • Ownership & drive: Track record of owning solutions and deliverables end‑to‑end—setting direction, aligning stakeholders, and seeing work through to impact—while remaining a collaborative and engaged team member.
  • Strongly preferred: Familiarity with biological data types (genomic, transcriptomic, proteomic), common file formats (FASTA, GFF, VCF, BAM), and sequence modeling methods applied to DNA/RNA/protein data; awareness of current research in applying deep learning to biological sequences (e.g., genomic transformers, protein language models); experience with graph neural networks or network analysis tools for modeling complex biological relationships.
Benefits
  • Competitive salary range: $148,530 – 204,250.
  • Compensation includes base, short‑term incentive, and long‑term equity with a one‑time new hire stock option grant.
  • Comprehensive benefits package: PPO and HDHP with company‑funded HSA, vision, dental, flexible spending accounts, voluntary benefits, and a robust wellness program.
  • 401(k) plan with company matching and flexible paid time off.
  • Hybrid work model: weekly split between in‑office and remote work.

Inari is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#J-18808-Ljbffr

Apply