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Machine Learning Manager Jobs in Richfield, 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

Machine Learning * Data Mining * Statistical Modeling * Data Application Design * Exploratory Data Analysis * Automated Data Pipelines * Data Accuracy Monitoring * Complex Dataset Management * Best ...

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Machine Learning Manager information

See Richfield, MN salary details

$52.8K

$84.6K

$122.2K

How much do machine learning manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for machine learning manager in Richfield, MN is $84,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $95,800.00 per year, depending on experience, location, and employer.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Richfield, MN? The most popular types of Machine Learning jobs in Richfield, MN are:
What cities near Richfield, MN are hiring for Machine Learning Manager jobs? Cities near Richfield, MN with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Richfield, MN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $84,584 per year, or $40.7 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 4 days ago

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.

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