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Remote Splunk Engineer Jobs in Michigan (NOW HIRING)

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

TEKsystems

Mobile DevOps Engineer

Detroit, MI · Remote

$65 - $80/hr

Familiarity with App Store and Google Play submission processes is a plus. SRE experience including ... remote position. Application Deadline This position is anticipated to close on Jul 24, 2026. About ...

New

FastTek

DevOps Specialist

Dearborn, MI · On-site +1

$48.50 - $66.50/hr

Engineer for 99.99% Reliability: Bring a true SRE mindset to our platform. You will design self ... Remote Position - SE Michigan only Additional Info: At FastTek Global, Our Purpose is Our People ...

Qualus

Senior Engineer - Outage Coordination

Detroit, MI · On-site +1

$130K - $165K/yr

As a Senior Engineer, you will help to identify impacts of shutdowns and how extensive the associated equipment would be to bundle planned outages together. This will include contingency plan studies ...

Corning

$104K - $142K/yr

The engineer will apply data engineering and artificial intelligence techniques to design, build, and deploy AI‑powered security solutions, including intelligent agents that automate workflows ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding standards, and foster a culture of technical excellence and collaborative problem-solving. What You'll ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Mentors and guides engineers within the group. * Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or related technical field plus competences typically acquired through 6+ ...

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Remote Splunk Engineer information

What are the typical daily responsibilities of a Remote Splunk Engineer?

A Remote Splunk Engineer typically manages Splunk deployments, ingests and normalizes data from various sources, and creates dashboards and alerts to support security and operational teams. Daily tasks often include troubleshooting log sources, optimizing search queries, maintaining system health, and collaborating with IT security, DevOps, or infrastructure teams to meet business objectives. Regular communication with stakeholders is also important to understand monitoring needs and proactively address incidents or gaps in visibility. Most remote Splunk engineers use virtual collaboration tools and ticketing systems to organize work and ensure seamless team integration, even from a distance.

What is a Remote Splunk Engineer job?

A Remote Splunk Engineer is responsible for designing, implementing, and managing Splunk solutions while working remotely. They configure data ingestion, create dashboards, optimize system performance, and troubleshoot issues to ensure effective log management and security monitoring. This role often involves working with security teams, DevOps, or IT operations to analyze system performance and detect anomalies. Strong knowledge of Splunk architecture, search queries, and scripting is essential.

What are the key skills and qualifications needed to thrive in the Remote Splunk Engineer position, and why are they important?

To thrive as a Remote Splunk Engineer, you need expertise in Splunk architecture, log management, data analysis, and scripting or automation, typically supported by a degree in computer science or a related field. Familiarity with Splunk Enterprise, Splunk Cloud, ITSI, and certifications like Splunk Certified Power User or Admin are highly valued. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These qualifications enable you to efficiently implement security monitoring, deliver actionable insights, and support distributed teams in diverse technical environments.

What are the most commonly searched types of Splunk Engineer jobs in Michigan? The most popular types of Splunk Engineer jobs in Michigan are:
What are popular job titles related to Remote Splunk Engineer jobs in Michigan? For Remote Splunk Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Splunk Engineer jobs in Michigan look for? The top searched job categories for Remote Splunk Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Splunk Engineer jobs? Cities in Michigan with the most Remote Splunk Engineer job openings:
Remote Splunk Engineer jobs near you
Infographic showing various Remote Splunk Engineer job openings in Michigan as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Canopy

Detroit, MI • On-site, Remote

$126K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

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Job description

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat vehicle and content theft. In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior engineers, and influencing system architecture decisions. This is a high-impact role with visibility across engineering and product leadership.
Responsibilities:
  • Contribute to the design, development, and deployment of robust machine learning models for production use in real-world security applications.
  • Develop within the full machine learning lifecycle; from problem definition to data pipeline design, model development, validation, deployment, and monitoring.
  • Establish and refine best practices in our ML system architecture, CI/CD pipelines for ML, and reproducible research methodologies.
  • Collaborate with cross-functional stakeholders including product managers, data engineers, and MLOps teams to ensure seamless model integration and delivery.
  • Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar, accelerometer) to derive insights and guide modeling strategies.
  • Stay ahead of industry advancements in machine learning, AI sensing, and signal processing, incorporating the latest innovations into Canopy's technology stack.
  • Mentor and guide junior engineers and contribute to the hiring process and technical reviews.

Requirements
  • 5+ years of professional experience developing and implementing ML for perception systems with expertise in at least one of either RADAR, camera, or LiDAR.
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow.
  • Proven ability to develop production-grade ML applications for training, evaluation and inference on large-scale datasets.
  • Experience creating C/C++ applications utilizing modern language features and build systems, preferably for porting ML inference applications from Python to edge devices/embedded systems.
  • White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural network models and architectures (CNNs, transformers) with significant experience applying them for perception systems.
  • Experience implementing and applying dynamic object tracking, with experience using sensor fusion as a preference.
  • Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and services, virtual computers and clusters.
  • Proficiency in signal processing techniques such as time/frequency-domain processing (e.g. Fourier Transform), filtering, and noise reduction.
Preferred Qualifications:
  • Experience in deploying models to edge hardware, including experience with PyTorch and ONNX and model compression techniques, e.g. quantisation and pruning.
  • Experience using cloud computing platforms, e.g., AWS or GCP.
  • Experience with MATLAB for algorithm prototyping and research.
  • Experience with Docker or containerisation.
  • Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits
  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $126,000 - $180,000
Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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