Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies ...
Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies ...
AI and Machine Learning * Design, develop, integrate AI/ML capabilities into the 3DEXPERIENCE ... anomaly detection, predictive quality checks, design-rule enforcement; expose inference services ...
AI and Machine Learning * Design, develop, integrate AI/ML capabilities into the 3DEXPERIENCE ... anomaly detection, predictive quality checks, design-rule enforcement; expose inference services ...
Connected Vehicle Data Engineer
Dearborn, MI · On-site
$105K - $127K/yr
Proven experience building and applying Machine Learning models (such as supervised/unsupervised learning, regression, classification, or anomaly detection) to solve physical systems or engineering ...
Connected Vehicle Data Engineer
Dearborn, MI · On-site
$105K - $127K/yr
Proven experience building and applying Machine Learning models (such as supervised/unsupervised learning, regression, classification, or anomaly detection) to solve physical systems or engineering ...
Data Scientist Statistician Lead - Product Safety Data Analytics
Warren, MI · On-site
$120 - $180/hr
Machine Learning & Advanced Analytics: supervised and unsupervised learning, natural language processing, decision trees, clustering, anomaly detection, and predictive modeling * Data Engineering:
Data Scientist Statistician Lead - Product Safety Data Analytics
Warren, MI · On-site
$120 - $180/hr
Machine Learning & Advanced Analytics: supervised and unsupervised learning, natural language processing, decision trees, clustering, anomaly detection, and predictive modeling * Data Engineering:
IT Tools Engineer
Auburn Hills, MI · On-site
Utilize data analysis and object-oriented programming to create user interfaces, dashboards, and advanced analytical models, while leveraging technologies like Machine Learning and AI to enhance data ...
IT Tools Engineer
Auburn Hills, MI · On-site
Utilize data analysis and object-oriented programming to create user interfaces, dashboards, and advanced analytical models, while leveraging technologies like Machine Learning and AI to enhance data ...
... fault detection, and remaining useful life estimation for vehicle components. This is a hybrid ... Build physics-informed machine learning models that combine first-principles physics with machine ...
... fault detection, and remaining useful life estimation for vehicle components. This is a hybrid ... Build physics-informed machine learning models that combine first-principles physics with machine ...
Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
AI Validation Engineer
Auburn Hills, MI · On-site
Bachelor's degree in computer science, Machine Learning, Data Science, Electrical Engineering, or a ... Experience with adversarial robustness testing, out-of-distribution detection, or uncertainty ...
AI Validation Engineer
Auburn Hills, MI · On-site
Bachelor's degree in computer science, Machine Learning, Data Science, Electrical Engineering, or a ... Experience with adversarial robustness testing, out-of-distribution detection, or uncertainty ...
Machine Learning & Advanced Analytics: supervised and unsupervised learning, natural language processing, decision trees, clustering, anomaly detection, and predictive modeling * Data Engineering:
Machine Learning & Advanced Analytics: supervised and unsupervised learning, natural language processing, decision trees, clustering, anomaly detection, and predictive modeling * Data Engineering:
Machine Learning & Advanced Analytics: supervised and unsupervised learning, natural language processing, decision trees, clustering, anomaly detection, and predictive modeling * Data Engineering:
Machine Learning & Advanced Analytics: supervised and unsupervised learning, natural language processing, decision trees, clustering, anomaly detection, and predictive modeling * Data Engineering:
Pioneer Physics-Informed Machine Learning (PIML): Fuse first-principles physics modeling with ... Design Multi-Sensor Fault Detection & Isolation (FDI): Develop and validate intelligent, multi ...
Pioneer Physics-Informed Machine Learning (PIML): Fuse first-principles physics modeling with ... Design Multi-Sensor Fault Detection & Isolation (FDI): Develop and validate intelligent, multi ...
Pioneer Physics-Informed Machine Learning (PIML): Fuse first-principles physics modeling with ... Design Multi-Sensor Fault Detection & Isolation (FDI): Develop and validate intelligent, multi ...
Quick apply
Pioneer Physics-Informed Machine Learning (PIML): Fuse first-principles physics modeling with ... Design Multi-Sensor Fault Detection & Isolation (FDI): Develop and validate intelligent, multi ...
Pioneer Physics-Informed Machine Learning (PIML): Fuse first-principles physics modeling with ... Design Multi-Sensor Fault Detection & Isolation (FDI): Develop and validate intelligent, multi ...
Pioneer Physics-Informed Machine Learning (PIML): Fuse first-principles physics modeling with ... Design Multi-Sensor Fault Detection & Isolation (FDI): Develop and validate intelligent, multi ...
Autonomous Driving Intern
$18 - $34/hr
Understanding of image processing, object detection, or deep learning SKILLS & ABILITIES * Proficiency in programming languages: C++, Python, and MATLAB/Simulink/ Stateflow * Proficiency in robotics ...
Autonomous Driving Intern
$18 - $34/hr
Understanding of image processing, object detection, or deep learning SKILLS & ABILITIES * Proficiency in programming languages: C++, Python, and MATLAB/Simulink/ Stateflow * Proficiency in robotics ...
Design, develop, and integrate machine learning (ML), reinforcement learning (RL), and generative ... Support development of digital twins, predictive analytics, anomaly detection, optimization, and ...
Design, develop, and integrate machine learning (ML), reinforcement learning (RL), and generative ... Support development of digital twins, predictive analytics, anomaly detection, optimization, and ...
... detection or automated insights generation * Knowledge of SQL, Python, R or other data querying / scripting languages / machine learning frameworks * Knowledge of cloud-based data platforms ...
... detection or automated insights generation * Knowledge of SQL, Python, R or other data querying / scripting languages / machine learning frameworks * Knowledge of cloud-based data platforms ...
Design, develop, and integrate machine learning (ML), reinforcement learning (RL), and generative ... Support development of digital twins, predictive analytics, anomaly detection, optimization, and ...
Design, develop, and integrate machine learning (ML), reinforcement learning (RL), and generative ... Support development of digital twins, predictive analytics, anomaly detection, optimization, and ...
Machine Learning Object Detection information
See Royal Oak, MI salary details
$29.4K - $43.2K
1% of jobs
$43.2K - $57K
1% of jobs
$57K - $70.7K
5% of jobs
$70.7K - $84.5K
6% of jobs
$95.9K is the 25th percentile. Wages below this are outliers.
$84.5K - $98.2K
14% of jobs
$98.2K - $112K
14% of jobs
The median wage is $118.9K / yr.
$112K - $125.8K
18% of jobs
$125.8K - $139.5K
14% of jobs
$142.3K is the 75th percentile. Wages above this are outliers.
$139.5K - $153.3K
12% of jobs
$153.3K - $167K
11% of jobs
$167K - $180.8K
5% of jobs
$29.4K
$120.3K
$180.8K
How much do machine learning object detection jobs pay per year?
As of Aug 10, 2026, the average yearly pay for machine learning object detection in Royal Oak, MI is $120,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $144,800.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a machine learning object detection engineer, and why are they important?
To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.
What are some common challenges faced when working on machine learning object detection projects?
One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.
What is machine learning object detection?
Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What job categories do people searching Machine Learning Object Detection jobs in Royal Oak, MI look for? The top searched job categories for Machine Learning Object Detection jobs in Royal Oak, MI are:
Deloitte rating
8.2
Based on 92 frontline employees who took The Breakroom Quiz
45th of 150 rated financial services
Job description
If you're looking for an opportunity to work at the intersection of cybersecurity, data, and artificial intelligence, Deloitte's Cyber Defense & Resilience team offers the scale, complexity, and growth environment to build your career. In this role, you will support organizations as they modernize security operations through advanced analytics, cyber data engineering, and AI-enabled capabilities. You will work with leading technologies and help clients strengthen cyber defense while enabling innovation across the enterprise.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As a Cyber SecOps Consultant on the Cyber Defense & Resilience team, you will be responsible for...
- Supporting the design and modernization of cyber data and analytics programs that improve organizational intelligence and enable scalable delivery models
- Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response
- Working with technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk, CrowdStrike, and Palo Alto Networks to support cyber data platforms and operational outcomes
- Assisting with the maintenance, enhancement, governance, and administration of data platforms and applications using standardized, automated, and AI-enabled DataOps capabilities
- Contributing to AI and analytics initiatives by helping clients experiment, operationalize, and scale solutions using cyber and information technology telemetry data
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, advanced cyber data engineering, and the use of artificial intelligence and machine learning for cyber defense and operations. The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI, and machine learning to address cyber-specific challenges.
Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a-service delivery models, and strengthen day-to-day security operations. The team also helps clients harness technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk, CrowdStrike, and Palo Alto Networks while advancing AI and analytics capabilities through scalable assets, curated datasets, and operational experience.
Qualifications
Required:
- 2+ years of analytics consulting or industry experience
- 2+ years of experience with artificial intelligence development tools, including vector databases such as Pinecone or Elastic, and development frameworks such as LangChain or CrewAI
- 2+ years of experience in statistical analysis, machine learning, and data mining
- 2+ years of experience using statistical computer languages such as Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, perform exploratory analysis, generate features, and support data science workflows
- 2+ years of experience using cloud-based cybersecurity platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure
- 1+ years of experience with security operations center threat hunting and incident response
- Experience supporting at least one full lifecycle analytics engagement across strategy, design, and implementation
- Bachelor's degree in Engineering, Mathematics, or Statistics, or 4 years of equivalent professional experience
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience architecting, designing, developing, and deploying enterprise data science solutions that include natural language processing (NLP), chatbots, virtual assistants, computer vision, cognitive services, and big data tools used to manage large datasets
- Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration
- Experience parsing and normalizing cybersecurity or information technology telemetry datasets
- Experience using Python machine learning and deep learning frameworks and libraries, including PyTorch, Keras, TensorFlow, scikit-learn, NumPy, and SciPy
- Experience designing and implementing Apache open-source frameworks, including Kafka, Storm, and Spark, to support end-to-end data management lifecycle activities
- Experience managing multiple concurrent task assignments and developing presentation materials using Microsoft Visio and Microsoft PowerPoint
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 - $162,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
If you're looking for an opportunity to work at the intersection of cybersecurity, data, and artificial intelligence, Deloitte's Cyber Defense & Resilience team offers the scale, complexity, and growth environment to build your career. In this role, you will support organizations as they modernize security operations through advanced analytics, cyber data engineering, and AI-enabled capabilities. You will work with leading technologies and help clients strengthen cyber defense while enabling innovation across the enterprise.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As a Cyber SecOps Consultant on the Cyber Defense & Resilience team, you will be responsible for...
- Supporting the design and modernization of cyber data and analytics programs that improve organizational intelligence and enable scalable delivery models
- Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response
- Working with technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk, CrowdStrike, and Palo Alto Networks to support cyber data platforms and operational outcomes
- Assisting with the maintenance, enhancement, governance, and administration of data platforms and applications using standardized, automated, and AI-enabled DataOps capabilities
- Contributing to AI and analytics initiatives by helping clients experiment, operationalize, and scale solutions using cyber and information technology telemetry data
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, advanced cyber data engineering, and the use of artificial intelligence and machine learning for cyber defense and operations. The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI, and machine learning to address cyber-specific challenges.
Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a-service delivery models, and strengthen day-to-day security operations. The team also helps clients harness technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk, CrowdStrike, and Palo Alto Networks while advancing AI and analytics capabilities through scalable assets, curated datasets, and operational experience.
Qualifications
Required:
- 2+ years of analytics consulting or industry experience
- 2+ years of experience with artificial intelligence development tools, including vector databases such as Pinecone or Elastic, and development frameworks such as LangChain or CrewAI
- 2+ years of experience in statistical analysis, machine learning, and data mining
- 2+ years of experience using statistical computer languages such as Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, perform exploratory analysis, generate features, and support data science workflows
- 2+ years of experience using cloud-based cybersecurity platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure
- 1+ years of experience with security operations center threat hunting and incident response
- Experience supporting at least one full lifecycle analytics engagement across strategy, design, and implementation
- Bachelor's degree in Engineering, Mathematics, or Statistics, or 4 years of equivalent professional experience
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience architecting, designing, developing, and deploying enterprise data science solutions that include natural language processing (NLP), chatbots, virtual assistants, computer vision, cognitive services, and big data tools used to manage large datasets
- Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration
- Experience parsing and normalizing cybersecurity or information technology telemetry datasets
- Experience using Python machine learning and deep learning frameworks and libraries, including PyTorch, Keras, TensorFlow, scikit-learn, NumPy, and SciPy
- Experience designing and implementing Apache open-source frameworks, including Kafka, Storm, and Spark, to support end-to-end data management lifecycle activities
- Experience managing multiple concurrent task assignments and developing presentation materials using Microsoft Visio and Microsoft PowerPoint
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 - $162,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.