* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Warren, MI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Warren, MI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Rochester Hills, MI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Rochester Hills, MI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Data / Machine Learning Engineer - RSA - US
Auburn Hills, MI · On-site
$108K - $130K/yr
Data / Machine Learning Engineer - Application & Mainframe Modernization Hybrid Auburn Hills, MI Contract Role Position Overview We are seeking a hands-on Data / Machine Learning Engineer to support ...
Quick apply
Data / Machine Learning Engineer - RSA - US
Auburn Hills, MI · On-site
$108K - $130K/yr
Data / Machine Learning Engineer - Application & Mainframe Modernization Hybrid Auburn Hills, MI Contract Role Position Overview We are seeking a hands-on Data / Machine Learning Engineer to support ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Detroit, MI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Detroit, MI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Senior, Machine Learning Engineer - 3D Perception
Ann Arbor, MI · On-site +1
$102K - $140K/yr
As a Senior Machine Learning Engineer - 3D Perception, you'll join a collaborative team of machine learning engineers and researchers focused on solving complex real-world perception challenges. This ...
Senior, Machine Learning Engineer - 3D Perception
Ann Arbor, MI · On-site +1
$102K - $140K/yr
As a Senior Machine Learning Engineer - 3D Perception, you'll join a collaborative team of machine learning engineers and researchers focused on solving complex real-world perception challenges. This ...
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of ... Exposure to MLOps tools (MLflow, BentoML, SageMaker, Airflow, etc.). * Contributions to open-source ...
Quick apply
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of ... Exposure to MLOps tools (MLflow, BentoML, SageMaker, Airflow, etc.). * Contributions to open-source ...
Comfortable working with large codebases and debugging complex machine learning models ... Bachelor's degree in Computer Engineering, Electrical Engineering, Automotive Engineering ...
Comfortable working with large codebases and debugging complex machine learning models ... Bachelor's degree in Computer Engineering, Electrical Engineering, Automotive Engineering ...
Mlops Machine Learning Engineer information
See Detroit, MI salary details
$31.2K - $45.8K
1% of jobs
$45.8K - $60.3K
1% of jobs
$60.3K - $74.9K
5% of jobs
$74.9K - $89.5K
6% of jobs
$101.6K is the 25th percentile. Wages below this are outliers.
$89.5K - $104.1K
14% of jobs
$104.1K - $118.7K
14% of jobs
The median wage is $126K / yr.
$118.7K - $133.2K
18% of jobs
$133.2K - $147.8K
14% of jobs
$150.8K is the 75th percentile. Wages above this are outliers.
$147.8K - $162.4K
12% of jobs
$162.4K - $177K
11% of jobs
$177K - $191.6K
5% of jobs
$31.2K
$127.5K
$191.6K
How much do mlops machine learning engineer jobs pay per year?
As of Sep 9, 2026, the average yearly pay for mlops machine learning engineer in Detroit, MI is $127,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $153,400.00 per year, depending on experience, location, and employer.
What does an MLOps machine learning engineer do?
An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.
What are the key skills and qualifications needed to thrive as an MLOps machine learning engineer?
To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.
How does an MLOps machine learning engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?
An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.
What is the difference between Mlops Machine Learning Engineer vs Data Scientist?
| Aspect | Mlops Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps tools | Bachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning |
| Work Environment | Focus on deploying, maintaining, and scaling ML models in production environments | Focus on data analysis, model development, and insights generation |
| Employer & Industry Usage | Tech companies, startups, enterprises implementing ML solutions | Research institutions, analytics firms, tech companies for data insights |
While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.
Are MLOps machine learning engineers in demand?
MLOps machine learning engineers are in high demand due to the increasing adoption of AI and machine learning across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.
Do MLOps Machine Learning Engineers need a degree?
MLOps Machine Learning Engineers typically do not require a formal degree but often have a background in computer science, data science, or related fields. Practical skills in machine learning, cloud platforms, and tools like Docker, Kubernetes, and CI/CD pipelines are highly valued. Certifications and hands-on experience can also enhance job prospects.
What are popular job titles related to Mlops Machine Learning Engineer jobs in Detroit, MI?
For Mlops Machine Learning Engineer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Mlops Machine Learning Engineer jobs in Detroit, MI look for?
The top searched job categories for Mlops Machine Learning Engineer jobs in Detroit, MI are:
- Artificial Intelligence Machine Learning Engineer
- No Experience Nvidia Machine Learning
- Mistral Salary
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- Freelance Google Machine Learning Engineer
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What cities near Detroit, MI are hiring for Mlops Machine Learning Engineer jobs?
Cities near Detroit, MI with the most Mlops Machine Learning Engineer job openings:
Machine Learning Engineer
Sterling Heights, MI
Bespoke Labs
Full-time
Re-posted 23 days ago
Job description
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Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch
-
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration
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Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues
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Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy
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Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams
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Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics
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Implement methods from recent ML papers quickly and turn them into production-grade systems