1

Machine Learning Developer Intern Jobs in Maryland

Showing results 41-60

Machine Learning Developer Intern information

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities in Maryland are hiring for Machine Learning Developer Intern jobs?

Cities in Maryland with the most Machine Learning Developer Intern job openings:

Staff Computer Vision and Machine Learning Engineer

Bethesda, MD • On-site

Geico
Insurance Services • 10K+ employees

Full-time

Re-posted 7 days ago


GEICO rating

8.1

Company rating: 8.1 out of 10

Based on 368 frontline employees who took The Breakroom Quiz


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 StaffComputer 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 andmaintainscalable 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 latestCV andML 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 tooptimizeand refine models.

  • Own the end-to-end systems for model monitoring, maintenance, and retraining to ensure high availability and performance.

Minimum Qualifications
  • B.S. incomputer science, computer & electrical engineering or related discipline, M.S. incomputer vision,machine learning, Computer Science, Statistics, Mathematics, or a related quantitative fieldor 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 platformsand environments such as AWS, Microsoft Azure, Databricksand/or Snowflake,and Kubernetes.

  • 4+ years of experience applying computer vision and machine learning techniques in a production environment for business solutions.

  • Nice tohave:publication(s) in top CVconference(CVPR, ICCV, ECCV,etc)


Required Skills and Knowledge

Computer Vision and Machine Learning and Statistical Modeling

  • Strong foundationin advanced computer vision and machine learning algorithms, including supervised and unsupervised learning techniques, as well as familiarity with generative models.

  • Proficiencyin statistical modeling, including probability theory and hypothesis testing, to interrogate, analyze, and interpret data effectively.


Programming,MLOps, and Cloud Platforms
  • Strong programming skills, includingproficiencyin Python and experience with computer vision and machine learning frameworks such as TensorFlow,Keras, andPyTorch.

  • Familiarity with software development best practices, including CI/CD pipelines, containerization such as Docker, and orchestration such as Kubernetes.

  • Deep understanding ofMLOpspractices, 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


GEICO logo

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