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Temporal Jobs in Michigan (NOW HIRING)

Genesys

Develop advanced feature engineering strategies capturing behavioral, financial, and temporal signals. Technical Leadership & Strategy * Set technical direction for AI/ML initiatives across the ...

Woven

Senior Data Scientist - AD/ADAS

Ann Arbor, MI · On-site

$85 - $120/hr

Experience with temporal data and/or robotics sensor data WHAT WE OFFER * We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many ...

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How much do temporal jobs pay per hour?

As of Aug 20, 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.

What is a Temporal engineer?

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.

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.

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 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.

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.

What are popular job titles related to Temporal jobs in Michigan?

For Temporal jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Temporal jobs in Michigan look for?

The top searched job categories for Temporal jobs in Michigan are:

Temporal jobs near you
Infographic showing various Temporal job openings in Michigan as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 3% Temporary, 3% Contract, and 1% Nights. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $24,235 per year, or $11.7 per hour.

Machine Learning Engineer, II - 3D Perception

Torc Robotics

Ann Arbor, MI • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
Torc's Multi-Modal Perception team is responsible for developing the machine learning systems that enable our autonomous trucks to perceive and understand the world around them. By combining information from cameras, LiDAR, and other sensor modalities, the team builds production-ready perception capabilities that provide the foundation for safe, reliable autonomous driving.
As a Machine Learning Engineer II - 3D Perception, you'll join a collaborative team of machine learning engineers and researchers focused on solving complex real-world perception challenges. This role is primarily focused on advancing our Bird's Eye View (BEV) perception capabilities by developing, evaluating, and improving production machine learning solutions that support environmental understanding, model robustness, and system performance across Torc's autonomy stack.
What You'll Do
  • Design, develop, and improve machine learning models supporting Torc's perception systems.
  • Own model development and delivery for well-defined perception problem areas, from data preparation and training through evaluation and integration.
  • Write production-quality Python and PyTorch code to support scalable training, evaluation, and inference workflows.
  • Analyze model performance, identify failure modes, and independently troubleshoot issues to improve robustness, accuracy, and generalization.
  • Develop and evaluate perception models leveraging multi-modal sensor data, with an emphasis on camera-based and 3D perception systems.
  • Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into larger production software systems.
  • Contribute to improvements in training pipelines, data workflows, experimentation tooling, and developer workflows that accelerate model iteration and deployment.
  • Participate in model architecture discussions and contribute technical recommendations within the team.
  • Lead small technical initiatives or model components with guidance from senior engineers.
  • Support and mentor Machine Learning Engineer I team members on implementation, experimentation, and machine learning best practices.
  • Document technical work, evaluation results, and design decisions to support knowledge sharing and long-term maintainability.

What You'll Need to Succeed
  • Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 3+ years of relevant industry experience, OR Master's degree with 1+ years of relevant experience, or equivalent practical experience.
  • Experience developing machine learning models for computer vision, perception, robotics, autonomous systems, or a closely related domain.
  • Strong programming skills in Python and PyTorch, with experience writing maintainable, production-quality machine learning code.
  • Experience training, evaluating, and improving deep learning models using large-scale datasets.
  • Experience working with image-based and/or 3D perception systems.
  • Solid understanding of deep learning architectures commonly used for perception applications.
  • Experience debugging model behavior, analyzing performance metrics, and proposing practical improvements.
  • Ability to independently execute complex machine learning work within well-defined problem areas.
  • Experience collaborating cross-functionally to integrate machine learning models into larger software systems.
  • Strong problem-solving skills with the ability to operate effectively in an environment with evolving technical challenges and requirements.

Bonus Points
  • Experience developing perception systems for autonomous driving, robotics, or ADAS.
  • Experience with LiDAR, point cloud processing, sensor fusion, BEV representations, or other 3D perception techniques.
  • Experience with temporal perception models or video-based learning.
  • Experience with C++, ROS, or robotics software development.
  • Experience deploying machine learning models into production autonomy or robotics platforms.
  • Experience working with large-scale perception datasets and distributed training environments.
  • Familiarity with perception evaluation frameworks, model validation, and performance benchmarking.
  • Experience improving ML tooling, automation, training workflows, or experimentation infrastructure.
  • Experience leading a small technical initiative or owning a production ML component from development through deployment.

Work Location: For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102882
Hiring Range for Job Opening
US Pay Range
$153,200-$183,800 USD

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