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Machine Learning Engineer Jobs in Maryland (NOW HIRING)

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Machine Learning Engineer information

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$30.6K

$125K

$187.8K

How much do machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning engineer in Maryland is $124,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $150,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Maryland?

The most popular types of Machine Learning Engineer jobs in Maryland are:

What are popular job titles related to Machine Learning Engineer jobs in Maryland?

For Machine Learning Engineer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Maryland look for?

The top searched job categories for Machine Learning Engineer jobs in Maryland are:

What cities in Maryland are hiring for Machine Learning Engineer jobs?

Cities in Maryland with the most Machine Learning Engineer job openings:

What are popular job titles related to Machine Learning Engineer jobs in MD?

For Machine Learning Engineer jobs in MD, the most frequently searched job titles are:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Maryland as of August 2026, with employment types broken down into 72% Full Time, 22% Part Time, and 6% Temporary. Highlights an 100% In-person job distribution, with an average salary of $124,976 per year, or $60.1 per hour.

Staff Computer Vision and Machine Learning Engineer

GEICO

Bethesda, MD • On-site

Full-time

Re-posted 9 days ago

GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 363 frontline employees who took The Breakroom Quiz

164th of 308 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
  • 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.

What GEICO employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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