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$30.3K

$123.8K

$186.1K

How much do machine learning object detection jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning object detection in Atlanta, GA is $123,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $149,100.00 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 are popular job titles related to Machine Learning Object Detection jobs in Atlanta, GA? For Machine Learning Object Detection jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Atlanta, GA look for? The top searched job categories for Machine Learning Object Detection jobs in Atlanta, GA are:
Machine Learning Object Detection jobs near you
Senior Manager, Cybersecurity Detection Engineering

Senior Manager, Cybersecurity Detection Engineering

Cox Automotive

Pine Lake, GA

$178.20K - $297K/yr

Full-time

PTO

Posted 26 days ago

Cox Automotive rating

7.8

Company rating: 7.8 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

89th of 138 rated financial services

Job description

The Senior Manager of Cybersecurity Detection Engineering will lead a team of Detection Engineers in designing, implementing, and maintaining advanced detection capabilities to safeguard the organization against emerging cyber threats. This pivotal role will enhance Cox Automotive's next-generation Cyber Defense practice, enabling rapid threat response and automated remediation. The position will be responsible for developing the strategy for the Detection Engineering program and establishing metrics to demonstrate continuous improvement. The ideal candidate will possess expert-level knowledge in SIEM implementation and log ingestion, SOAR, Incident Response, and Threat Intelligence that will be data-driven with strong verbal, written communication, and leadership skills.
What You'll Do:
Cybersecurity Detection Engineering:
  • Define detection engineering strategy, roadmap, and objectives to achieve.
  • Design and implement advanced threat detection techniques using tools such as SIEM, EDR, NDR, and SOAR platforms.
  • Develop innovative custom detection rules and automated remediation, playbooks, and alerts tailored to the organization's threat landscape for enterprise and customer security.
  • Leverage industry standard MITRE frameworks to identify detection coverage and close gaps.
  • Monitor, optimize, and continuously improve detection systems for performance, scalability, and effectiveness.
  • Collaborates with Threat Detection and Response team to continuously improve cybersecurity capabilities in identification, management, and response to threats in the most efficient and effective manner.
  • Performs attack simulation testing to validate efficacy of use cases and purple teaming exercises collaborating with the Vulnerability Mgmt team.
  • Manages and maintains SIEM/Data Lake data management and log ingestion infrastructure in collaboration with Cyber Defense Engineering.
  • Evaluate, validate, tune, and sunset where necessary detection capabilities
  • Maintains operational guidelines, diagrams, and documentation for security detection and response.

Incident Response Support:
  • Collaborate with the incident response team to ensure rapid detection and containment of cyber threats.
  • Provide technical expertise and guidance to develop detection use cases during high-severity security incidents.
  • Continuously improve detection and response processes based on lessons learned from incidents.
  • Other duties may be assigned as needed to address new security threats facing the enterprise.
  • Provides off hour support as needed for security administration, detection, and response activities.

Threat Intelligence Integration:
  • Leverage threat intelligence to enhance detection capabilities and proactively mitigate risks.
  • Identify and analyze new and emerging threat vectors and incorporate them into detection strategies.

Stakeholder Collaboration:
  • Partner with other Cybersecurity, Engineering, and Product teams to align detection strategies with organizational objectives.
  • Communicate detection capabilities and findings to technical and non-technical stakeholders, including executive leadership.

Governance and Compliance:
  • Ensure all detection processes and tools adhere to regulatory requirements and industry standards (e.g., GDPR, PCI-DSS, NIST).
  • Establish and maintain documentation of detection strategies, processes, and configurations.

Ability to:
  • Proven track record of building scalable organizations that have world class threat detection capabilities.
  • Technical proficiency performing security investigations at scale; including endpoint, cloud, identity, network, and email threats.
  • Work with internal IT teams and external MSSPs for creation and operationalization of Detection Engineering use cases for WAF, DDoS Protection, Email systems, DLP, AV, and Endpoint security technologies.
  • Practical experience with Detection & Response tools for network, endpoints, cloud, and identity as well as SOAR platforms.
  • Apply security Threat Intelligence to identify new threat vectors.
  • Lead projects to improve security monitoring and response capabilities.
  • Demonstrate a strong security engineering and architecture background to best understand how to employ the most effective and efficient security monitoring.
  • Strong fundamentals of Linux, MacOS, and Windows operating system internals.
  • Demonstrate effective communication of security issues to management and others.
  • Maintain detection use case and SIEM configuration guidelines and standards for security.
  • Proficiency creating and managing operational metrics that increase team efficiency and quality.
  • Enthusiastic about managing and mentoring individuals pursuing careers in detection engineering.
  • Ability to manage effective relationships with organizational leaders, build a roadmap, and drive broad initiatives to completion.
  • Understanding of Machine Learning concepts as related to predictive analytics.

Who You Are:
Minimum Qualifications:
  • Bachelor's degree in Computer Science or equivalent and 8+ years of industry related professional experience. The right candidate could also have a different combination, such as a master's degree and 6 years' experience; a Ph.D. and 3 years' experience in a related field; or 20 years' experience in a related field
  • 3+ years of management or leadership experience with direct people management responsibilities
  • 5+ years' experience in an Incident Response or Security Operations role
  • Multi-cloud security experience AWS, Azure, GCP
  • Expert level knowledge on Detection Engineering and Security Operations
  • Strong experience with Information Security, Network Security, Security Monitoring, and Incident Response.
  • Strong experience with developing SIEM/SOAR detection and automation use cases.
  • Working experience with industry standard security technologies and services such as Threat Intelligence, Firewalls, SASE, IPS, Endpoint Security, DLP, SIEM/SOAR, and Data Lakes.
  • Expert level knowledge on the attack kill chain and diamond model.
  • Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future

Desirable:
  • GSEC, GCIA, GFE, GCFA, CISA, CISSP, CISM, or CIA certification(s)
  • Development/ Dev Ops / Engineering / Network / System Administration experience

USD 178,200.00 - 297,000.00
Compensation:
Compensation includes a base salary in the range of $178,200.00 - $297,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets

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About Cox Automotive

Sourced by ZipRecruiter

At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What's more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

Industry

Automobile dealers and technology, communication and media

Company size

5,001 - 10,000 Employees

Headquarters location

Atlanta, GA, US

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