ZipRecruiter

Log In

1

170K Jobs in Wisconsin (NOW HIRING)

All Jobs170K Jobs170K Jobs in Wisconsin

170K information

See Wisconsin salary details

$34.3K

$42.7K

$48.5K

How much do 170k jobs pay per year?

As of Aug 3, 2026, the average yearly pay for 170k in Wisconsin is $42,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,400.00 and $45,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals earning a $170K salary and how can they navigate these challenges for continued career growth?

Professionals earning a $170K salary often hold senior or specialized roles with significant responsibilities, which can lead to challenges such as managing high expectations, balancing strategic and operational tasks, and maintaining work-life balance. Navigating these challenges often involves honing leadership skills, delegating effectively, and staying updated on industry trends. Additionally, proactively seeking feedback, networking within the organization, and pursuing continuous professional development can help professionals sustain their performance and position themselves for further advancement.

What are the key skills and qualifications needed to thrive as a 170K, and why are they important?

I'm sorry, but '170K' does not appear to be a recognized professional job title. Please provide a valid job title to receive information about the required skills and qualifications.

What percentage of people make 170k a year?

Earning $170,000 annually is typical for senior-level professionals in fields such as technology, finance, and healthcare, representing roughly the top 10-15% of earners in the United States. Achieving this salary often requires advanced skills, experience, and sometimes specialized certifications or education. The percentage of people earning this amount varies based on industry, location, and experience level.

What are 170K jobs?

170K jobs refer to positions that offer an annual salary of $170,000. These roles are typically found in high-paying industries such as technology, finance, medicine, law, and engineering. Achieving this salary level often requires advanced education, specialized skills, or significant experience in a field. Examples of 170K jobs include senior software engineers, medical specialists, and executive managers. Compensation can vary by location, company, and industry demand.

Is 170k a good base salary?

For a job with a salary of 170K, this is generally considered a high base salary in many industries, especially for roles requiring advanced skills or experience. Factors such as location, industry, and job responsibilities influence whether this salary is competitive, but it typically reflects a senior or specialized position. Additional benefits and bonuses can also impact overall compensation evaluation.

What jobs make 170k a year?

Jobs that typically pay around $170,000 annually include specialized roles such as experienced physicians, surgeons, anesthesiologists, and certain senior corporate executives. High-paying positions often require advanced degrees, extensive experience, and professional certifications. Other roles like data scientists, IT managers, and legal partners may also reach this salary level depending on industry and location.

What professions make 200,000 a year without a degree?

Jobs such as commercial pilots, real estate brokers, and sales managers can earn $200,000 or more annually without requiring a college degree, often relying on experience, licenses, or certifications. Success in these roles typically depends on skills, networking, and performance rather than formal education.
What are popular job titles related to 170K jobs in Wisconsin? For 170K jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching 170K jobs in Wisconsin look for? The top searched job categories for 170K jobs in Wisconsin are:
170K jobs near you
Infographic showing various 170K job openings in Wisconsin as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $42,678 per year, or $20.5 per hour.

Senior ML Ops Engineer

Paradigm

Middleton, WI • On-site

$123K - $170K/yr

Full-time

Posted 20 days ago

Job description

Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are building the future with modern software engineering, agent-assisted systems, and mobile-first experiences. We are powered by our parent company, Builders FirstSource (NYSE: BLDR): a Fortune 300 company with over $23 billion in revenue and more than 29,000 employees across 550+ locations, BFS is redefining construction through data, digital infrastructure, and AI-powered innovation.

What You Will Do:

· Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning lifecycle, including model training, deployment, monitoring, and retraining.

· Develop and optimize automated ML deployment pipelines, ensuring reliable, reproducible, and efficient model delivery to production environments.

· Deploy and support machine learning models and AI solutions in production, maintaining best practices for scalability, reliability, security, and operational excellence.

· Implement and maintain model registries, experiment tracking, versioning, and governance practices to support consistent model lifecycle management.

· Build and support containerized ML workloads and deployment workflows using technologies such as Docker and Kubernetes.

· Develop monitoring, observability, and alerting capabilities for machine learning systems, including model performance tracking, drift detection, and data quality monitoring.

· Collaborate with Machine Learning Engineers, Data Scientists, Software Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment efficiency.

· Implement and maintain IaC patterns using Terraform.

· Troubleshoot and resolve complex technical challenges related to model deployment, ML infrastructure, and production operations.

· Provide guidance and mentorship to other engineers.

What You Need to Succeed:

· Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field or equivalent experience.

· 4+ years of professional experience in software engineering, machine learning engineering, MLOps, platform engineering, DevOps, or a related technical discipline.

· Strong understanding of the machine learning lifecycle, including model training, validation, deployment, monitoring, and retraining.

· Experience building and maintaining automated machine learning pipelines and CI/CD workflows.

· Experience with MLOps platforms and tools such as MLflow, Kubeflow, Azure Machine Learning, Databricks, or similar technologies.

· Experience in Python programming, ML Framework and Agentic AI. Implemented model monitoring, experiment tracking, model versioning, and governance practices.

· Experience working with cloud-based machine learning solutions, preferably within Azure.

· Ability to independently solve complex technical challenges, make sound decisions with minimal guidance, and drive work to completion.

Ready to Join? Apply now at myparadigm.com/careers/

Compensation Range: $123K - $170K