Role Overview As a Staff Computer Vision and Machine Learning Engineer, you will serve as a ... Direct work experience in CV discriminative models (detection, segmentation), CV foundation models ...
Role Overview As a Staff Computer Vision and Machine Learning Engineer, you will serve as a ... Direct work experience in CV discriminative models (detection, segmentation), CV foundation models ...
We are looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a ... Demonstrated experience with MLOps practices: model monitoring, data and concept drift detection ...
We are looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a ... Demonstrated experience with MLOps practices: model monitoring, data and concept drift detection ...
We are looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a ... Demonstrated experience with MLOps practices: model monitoring, data and concept drift detection ...
We are looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a ... Demonstrated experience with MLOps practices: model monitoring, data and concept drift detection ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a ... Strong software engineering skills, including object oriented programming, testing, version control ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a ... Strong software engineering skills, including object oriented programming, testing, version control ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a ... Strong software engineering skills, including object oriented programming, testing, version control ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a ... Strong software engineering skills, including object oriented programming, testing, version control ...
Data Scientist - AI/Machine Learning
Annapolis Junction, MD · On-site
$150K - $210K/yr
Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate ...
Data Scientist - AI/Machine Learning
Annapolis Junction, MD · On-site
$150K - $210K/yr
Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate ...
Data Scientist - AI/Machine Learning
Annapolis Junction, MD · On-site
$150K - $210K/yr
Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate ...
Data Scientist - AI/Machine Learning
Annapolis Junction, MD · On-site
$150K - $210K/yr
Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate ...
Data Scientist - AI/Machine Learning
$150K - $210K/yr
Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate ...
Data Scientist - AI/Machine Learning
$150K - $210K/yr
Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate ...
Research and implement machine learning approaches for RF signal detection, classification, characterization, anomaly detection, emitter identification, spectrum sensing, or waveform analysis
Research and implement machine learning approaches for RF signal detection, classification, characterization, anomaly detection, emitter identification, spectrum sensing, or waveform analysis
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a ... Strong software engineering skills, including object oriented programming, testing, version control ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a ... Strong software engineering skills, including object oriented programming, testing, version control ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a ... Strong software engineering skills, including object oriented programming, testing, version control ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a ... Strong software engineering skills, including object oriented programming, testing, version control ...
Autonomy SME, Lead
Bowie, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Bowie, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Laurel, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Laurel, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Upper Marlboro, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Upper Marlboro, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Kensington, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Kensington, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Upper Marlboro, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Upper Marlboro, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Davidsonville, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Davidsonville, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Ashton, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Ashton, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Potomac, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Potomac, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Fort Washington, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Autonomy SME, Lead
Fort Washington, MD · On-site
$112K - $257K/yr
Design and train machine learning models for perception, object detection, tracking, and classification. * Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
Machine Learning Object Detection information
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 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 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 popular job titles related to Machine Learning Object Detection jobs in Maryland?
For Machine Learning Object Detection jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Maryland look for?
The top searched job categories for Machine Learning Object Detection jobs in Maryland are:
What cities in Maryland are hiring for Machine Learning Object Detection jobs?
Cities in Maryland with the most Machine Learning Object Detection job openings:
Full-time
Re-posted 14 days ago
GEICO rating
8.0
Based on 363 frontline employees who took The Breakroom Quiz
166th of 311 rated insurance
Job description
Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Role Overview
As a Staff Computer Vision and Machine Learning Engineer, you will serve as a technical lead through the design, development, and deployment of advanced computer vision and machine learning models across the business. This role focuses on building scalable computer vision and machine learning models, mentoring junior engineers, and driving the full lifecycle of computer vision and machine learning model development.
You will be the technical lead for a team of Computer Vision and Machine Learning engineers and/or data scientists focused on ensuring that computer vision and machine learning models are robust, high-performing, and seamlessly integrated into production systems. This position involves both hands-on engineering work and leadership responsibilities in a dynamic environment.
Key Responsibilities
Minimum Qualifications
Required Skills and Knowledge
Computer Vision and Machine Learning and Statistical Modeling
Programming, MLOps, and Cloud Platforms
Leadership, Communication, and Analytical Skills
Annual Salary
$130,000.00 - $260,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life's twists and turns with innovation and integrity.
Great Careers:Personalized development programs, mentorship, and certification assistance.
Great Culture:Inclusive and collaborative culture rooted in shared success.
Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Role Overview
As a Staff Computer Vision and Machine Learning Engineer, you will serve as a technical lead through the design, development, and deployment of advanced computer vision and machine learning models across the business. This role focuses on building scalable computer vision and machine learning models, mentoring junior engineers, and driving the full lifecycle of computer vision and machine learning model development.
You will be the technical lead for a team of Computer Vision and Machine Learning engineers and/or data scientists focused on ensuring that computer vision and machine learning models are robust, high-performing, and seamlessly integrated into production systems. This position involves both hands-on engineering work and leadership responsibilities in a dynamic environment.
Key Responsibilities
- Design and implement computer vision and machine learning models and components that solve real-world business problems in close collaboration with Product, business units, and Data Science teams.
- Write production-grade code for ML models as services and APIs.
- Collaborate with cross-functional teams, including data engineering and software development, to integrate computer vision and machine learning models into production systems.
- Build and maintain scalable data processing workflows and model deployment infrastructure.
- Debug and resolve model performance issues, track relevant metrics, and implement continuous improvements to ensure model accuracy and reliability.
- Keep up with the latest CV and ML tooling and communities.
- Lead the design and implementation of complex computer vision and machine learning models across various business units.
- Architect and develop scalable infrastructure for automated model training, hyperparameter tuning, and deployment.
- Mentor and guide junior engineers, collaborating closely with computer vision and machine learning engineers to optimize and refine models.
- Own the end-to-end systems for model monitoring, maintenance, and retraining to ensure high availability and performance.
Minimum Qualifications
- B.S. in computer science, computer & electrical engineering or related discipline, M.S. in computer vision, machine learning, Computer Science, Statistics, Mathematics, or a related quantitative field or equivalent work experience in CV domain (see below).
- 6+ years of experience applying computer vision and machine learning techniques such as ensemble learning, deep learning, reinforcement learning, NLP, or related approaches.
- Direct work experience in CV discriminative models (detection, segmentation), CV foundation models, VLM, MLLMs, generative tools (diffusers).
- 6+ years of experience with SQL, Spark (or equivalent), and Python, computer vision, and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- 4+ years of experience working with cloud platforms and environments such as AWS, Microsoft Azure, Databricks and/or Snowflake, and Kubernetes.
- 4+ years of experience applying computer vision and machine learning techniques in a production environment for business solutions.
- Nice to have: publication(s) in top CV conference (CVPR, ICCV, ECCV, etc)
Required Skills and Knowledge
Computer Vision and Machine Learning and Statistical Modeling
- Strong foundation in advanced computer vision and machine learning algorithms, including supervised and unsupervised learning techniques, as well as familiarity with generative models.
- Proficiency in statistical modeling, including probability theory and hypothesis testing, to interrogate, analyze, and interpret data effectively.
Programming, MLOps, and Cloud Platforms
- Strong programming skills, including proficiency in Python and experience with computer vision and machine learning frameworks such as TensorFlow, Keras, and PyTorch.
- Familiarity with software development best practices, including CI/CD pipelines, containerization such as Docker, and orchestration such as Kubernetes.
- Deep understanding of MLOps practices, including model versioning, A/B testing, and continuous deployment.
- Deep understanding of cloud computing platforms such as Azure, AWS, or GCP, distributed systems, and large-scale data processing technologies such as Spark and Kafka.
Leadership, Communication, and Analytical Skills
- Proven experience leading computer vision and machine learning projects, managing stakeholders, and scaling computer vision and machine learning solutions in production environments.
- Excellent communication skills, with the ability to present complex technical topics to both technical and non-technical audiences.
- Exceptional problem-solving and analytical skills with a focus on practical, business-oriented outcomes.
Annual Salary
$130,000.00 - $260,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life's twists and turns with innovation and integrity.
Great Careers:Personalized development programs, mentorship, and certification assistance.
Great Culture:Inclusive and collaborative culture rooted in shared success.
Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
About GEICO
Sourced by ZipRecruiter
GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.
Industry
Insurance services
Company size
10,000+ Employees
Headquarters location
Chevy Chase, MD, US
Year founded
1936