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Temporal Jobs in Michigan (NOW HIRING)

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling. * Self-supervised/semi-supervised and vision/fusion Foundation Models. * Expertise in ML/DL ...

Senior Software Engineer - Core

Detroit, MI · Remote

$121K - $159K/yr

This is a broad, hands-on role working across the full depth of our platform, including building data replay infrastructure for system validation, aggregating traffic data over spatial and temporal ...

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How much do temporal jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for temporal in Michigan is $11.65, according to ZipRecruiter salary data. Most workers in this role earn between $8.37 and $13.61 per hour, depending on experience, location, and employer.

How to make $80,000 a year without a degree?

In roles like software development, sales, or skilled trades, it is possible to earn $80,000 annually through experience, certifications, and strong performance. Building in-demand skills, gaining relevant certifications, and working in high-paying industries or roles can help achieve this income level without a college degree.

What is the difference between Temporal vs Data Engineer?

AspectTemporalData Engineer
Required CredentialsTechnical knowledge of workflow orchestration, programming skillsDatabase, programming, and data pipeline skills
Work EnvironmentSoftware development, cloud-based systemsData processing, analytics, cloud platforms
Industry UsageWorkflow automation, microservices orchestrationData management, analytics, big data
Search & Comparison IntentUnderstanding workflow orchestration toolsData pipeline and infrastructure roles

Temporal is a workflow orchestration platform focused on managing complex application workflows, while Data Engineers build and maintain data pipelines and infrastructure for data processing. Both roles require technical skills but serve different purposes within software and data ecosystems.

What jobs pay 10,000 a month without a degree?

For a role like Temporal, which is a workflow orchestration platform, high-paying jobs often involve software development, DevOps, or cloud engineering that can pay $10,000 or more monthly, especially with experience and specialized skills. Many of these roles require strong technical expertise, familiarity with cloud services, and sometimes certifications, but they do not always require a formal degree.

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

To thrive as a Temporal Engineer, you need strong proficiency in distributed systems, software development (especially in Go or Java), and experience with workflow orchestration, ideally with a degree in computer science or a related field. Familiarity with Temporal's platform, cloud-native tools (like Kubernetes and Docker), and CI/CD systems is typically required. Excellent problem-solving, teamwork, and communication skills set top candidates apart in this role. These competencies ensure the reliable design, deployment, and operation of scalable workflow solutions, which are critical for modern software infrastructure.

What are Temporal engineers?

Temporal engineers are software professionals who specialize in using the Temporal platform to build, run, and scale reliable distributed applications. Temporal is an open-source workflow orchestration engine that helps developers manage complex workflows, handle failures, and ensure the consistency of long-running business processes. Temporal engineers design, implement, and maintain workflows that require coordination between multiple services, often in cloud-native environments. They use Temporal’s APIs and SDKs to build resilient applications that can recover from errors and interruptions automatically.

What is an example of temporal?

In the context of the job title Temporal, which refers to a workflow orchestration platform, an example of temporal is managing the timing of automated tasks or processes. It allows developers to schedule, coordinate, and monitor complex workflows that depend on time-based events or delays.

How does a Temporal Engineer typically collaborate with cross-functional teams to deliver workflow solutions?

As a Temporal Engineer, collaboration with cross-functional teams is central to designing, implementing, and maintaining robust workflow solutions. You’ll frequently work alongside product managers, software engineers, and infrastructure teams to understand requirements and integrate Temporal's orchestration platform into broader system architectures. Regular meetings, code reviews, and design sessions are common, ensuring alignment on workflow logic and system reliability. This collaborative environment helps streamline communication, surface potential challenges early, and deliver scalable, dependable solutions.

Is Temporal a good company to work for?

Temporal is a technology company known for its open-source workflow orchestration platform. Employees often cite a collaborative environment, opportunities for growth, and a focus on innovation, though experiences can vary by role and team. As with any company, researching specific teams and roles can provide more insight into the work environment.
Senior ML Engineer - Mapping

Senior ML Engineer - Mapping

May Mobility

Ann Arbor, MI • On-site

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.
Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 500,000 autonomous rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.
Job Summary
The Autonomy Mapping & Localization group's mission is to provide our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and navigate complex urban, suburban, and rural environments. We are looking for a Senior ML Engineer to join our team and build the next generation of our mapping and localization stack. As the Senior ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and navigate the world's most challenging roads at scale.
Essential Responsibilities
  • Implement and optimize production-grade lane and route network mapping ML, ensuring high-performance integration with the broader autonomy system.
  • Research, train, and evaluate advanced neural architectures. This includes object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction to extract and model lane and route networks, alongside key semantic features (e.g., traffic signs, signals, and road markings), for automated mapping.
  • Participate in rigorous code reviews, automated testing, and technical resolution.
  • Develop data curation, auto-labeling, and active learning pipelines.
  • Develop evaluation scripts for lane and route network accuracy, and scaling across diverse Operational Design Domains (ODDs).
  • Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet.
Qualifications and Experience
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Required
  • M.S. or Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.
  • 5+ years of industry experience developing and deploying ML/DL models for mapping or computer vision at scale.
  • Deep expertise in several of the following areas:
    • Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.
    • Lane-level topology and connectivity, intersection modeling, and lane/road network graph construction.
    • Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling.
    • Self-supervised/semi-supervised and vision/fusion Foundation Models.
  • Expertise in ML/DL development using PyTorch or TensorFlow, including experience with synthetic data generation, data curation, and model/algorithm evaluations.
  • Strong programming skills in Python and/or C++ with experience in modular software design and Linux-based development.
Desirable
  • Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.
  • Strong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes.
  • Experience with feature extraction and/or fusion from both street-level and overhead imagery.
  • Expertise in ML optimization for real-time products with limited compute, such as quantization and pruning of large transformer models.
  • A proven record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR).
Physical Requirements
  • Standard office working conditions which includes but is not limited to:
    • Prolonged sitting
    • Prolonged standing
    • Prolonged computer use
  • Travel required? - Low: 5%-10%

Benefits and Perks
  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave as well as a phased return to work.
  • Flexible vacation policy in addition to paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeing

Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Want to learn more about our culture & benefits? Check out our website!
May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
Salary Range
$210,000-$250,000 USD