Federated information
See Michigan salary details
$11.52 - $14.95
10% of jobs
$18.21 is the 25th percentile. Wages below this are outliers.
$14.95 - $18.38
16% of jobs
$18.38 - $21.81
13% of jobs
The median wage is $23.81 / hr.
$21.81 - $25.24
19% of jobs
$25.24 - $28.67
6% of jobs
$28.67 - $32.09
8% of jobs
$33.98 is the 75th percentile. Wages above this are outliers.
$32.09 - $35.52
5% of jobs
$35.52 - $38.95
4% of jobs
$38.95 - $42.38
4% of jobs
$42.38 - $45.81
8% of jobs
$45.81 - $49.24
6% of jobs
How much do federated jobs pay per hour?
As of Aug 31, 2026, the average hourly pay for federated in Michigan is $28.49, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $37.69 per hour, depending on experience, location, and employer.
Federated jobs typically refer to roles that involve managing or working within a federated system, where data, resources, or operations are distributed across multiple organizations, departments, or locations. In technology, this often involves federated learning or federated identity management, where collaboration occurs without sharing sensitive data directly. Federated roles require strong skills in coordination, data privacy, and interoperability between different systems. The goal is to enable collaboration while maintaining autonomy and data security for each participant.
Professionals in federated learning roles often encounter challenges related to data privacy, system heterogeneity, and communication efficiency. Ensuring that sensitive data remains on local devices while still enabling effective model training requires robust privacy-preserving techniques. Additionally, managing diverse hardware and network capabilities across federated nodes can complicate coordination and model convergence. Addressing these challenges typically involves implementing advanced encryption, developing algorithms that account for device variability, and optimizing communication protocols to minimize bandwidth usage, all while collaborating closely with data engineers and security teams.
To thrive as a Federated Learning Engineer, you need a strong background in machine learning, distributed systems, and data privacy, often supported by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow Federated, PySyft, and secure aggregation protocols is typically required. Collaboration, problem-solving, and clear communication are critical soft skills for working across data silos and with cross-functional teams. These skills are important to ensure robust, privacy-preserving machine learning solutions that can be integrated across diverse organizational boundaries.
What are popular job titles related to Federated jobs in Michigan?
For Federated jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Federated jobs in Michigan look for?
The top searched job categories for Federated jobs in Michigan are:
