Professional Learning Specialist Jobs in Bethesda, MD
Professional Learning Specialist jobs in Bethesda are in strong demand, concentrated in the downtown Bethesda core, the Pike & Rose corridor, and the Chevy Chase border area across government contracting, nonprofit education, and healthcare. Employers hiring right now include GEICO, Lockheed Martin, and Westat. Find a role that fits below and apply directly.
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Showing 5 of 14+ Professional Learning Specialist jobs
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
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
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.
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
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
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.
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Find JobsProfessional Learning Specialist Job Market in Bethesda
Who's Hiring
Top Industries Hiring
- Insurance
- Science & Research
Professional Learning Specialist Jobs in Bethesda: Frequently Asked Questions
How do I get a professional learning specialist job in Bethesda?
The strongest path into Bethesda's market is targeting the federal contractor and association sectors that anchor the area. Government contractors along the I-270 corridor and national nonprofits headquartered downtown routinely hire for instructional design, training facilitation, and curriculum development. Candidates who can demonstrate experience with adult learning frameworks, e-learning tools, and measurable outcomes get the most traction. Building connections through Bethesda-area professional associations and education-focused networks also opens doors that job boards alone don't.
Which companies hire professional learning specialists in Bethesda?
Companies currently hiring professional learning specialists in Bethesda include GEICO, Lockheed Martin, and Westat, per current listings on Migrate Mate as of July 2026. Bethesda's employer mix skews toward large health systems, federal contractors, and national membership associations, all of which maintain dedicated learning and development functions.
Are there remote professional learning specialist jobs in Bethesda?
Yes, though availability depends on the role type since hands-on facilitation and on-site coaching positions are almost always in-person. About 50% of professional learning specialist openings tied to Bethesda are remote or hybrid as of July 2026, reflecting broader flexibility in the field. Instructional design, e-learning development, and curriculum writing roles tend to be the most remote-friendly among Bethesda employers.
How can I get a professional learning specialist job in Bethesda with little or no experience?
The most realistic entry point in Bethesda is landing a training coordinator or learning and development assistant role with one of the area's large nonprofit associations or health systems, which frequently hire early-career candidates. Internships with organizations like national trade associations headquartered downtown, or teaching and tutoring experience at local learning centers, translate well. Proficiency in an LMS platform and a portfolio of even small-scale instructional projects can substitute meaningfully for years of full-time experience here.
Which industries hire the most professional learning specialists in Bethesda?
Most professional learning specialist openings in Bethesda sit in Insurance and Science & Research, per current listings on Migrate Mate as of July 2026. Bethesda's concentration of federal contractors, major health networks, and large national associations creates consistent, year-round demand for professionals who can design and deliver workforce training programs.
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