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Machine Learning Jobs in California, MD (NOW HIRING)

AI Intern

Lexington Park, MD · On-site

$14.50 - $19.50/hr

A strong understanding of machine learning concepts, algorithms, and frameworks. * Proficiency in programming languages such as Python, R, or Java. * Familiarity with AI tools and libraries, such as ...

AI Intern

Lexington Park, MD · On-site

$14.50 - $19.50/hr

Analyze existing workflows and processes to recommend AI solutions that align with business objectives. * Assist in developing and deploying machine learning models tailored to specific business ...

Senior Principal AI/ML Developer

California, MD · On-site +1

$120K - $165K/yr

Our GET Applied AI org is looking for a seasoned Sr. Principal Scientist/Machine Learning Developer to drive data-informed decisions for Autodesk B2C business. You will play a critical role in ...

Senior Systems Engineer

Dahlgren, VA · On-site

$106K - $145K/yr

Apply big data, machine learning, cloud computing, and microservice architecture principles to the design, development, integration, and implementation of advanced cyberspace capabilities. * Support ...

Jr-to-Mid Software Developer

Dahlgren, VA · On-site +1

$79K - $109K/yr

We are actively seeking a junior to mid-level software developer for the Machine Learning Operations (MLOps) project. The ideal candidate will have a strong foundation in Artificial Intelligence (AI ...

Jr-to-Mid Software Developer

Dahlgren, VA · On-site +1

$79K - $109K/yr

We are actively seeking a junior to mid-level software developer for the Machine Learning Operations (MLOps) project. The ideal candidate will have a strong foundation in Artificial Intelligence (AI ...

Senior Systems Engineer

Dahlgren, VA · On-site

$106K - $145K/yr

Apply big data, machine learning, cloud computing, and microservice architecture principles to the design, development, integration, and implementation of advanced cyberspace capabilities. * Support ...

Data Engineer

California, MD · On-site +1

$137K/yr

Discover hidden information using massive datasets and leveraging advanced data analytics and machine learning techniques to enable data-driven strategic decision-making. Duties include: * Design ...

Software Engineer

Dahlgren, VA · On-site

$110K - $150K/yr

Research, develop, and deploy machine learning algorithms for both software and hardware applications * Design and optimize systems using scientific analysis and mathematical modeling * Analyze ...

Software Engineer

Dahlgren, VA · On-site

$110K - $150K/yr

Research, develop, and deploy machine learning algorithms for both software and hardware applications * Design and optimize systems using scientific analysis and mathematical modeling * Analyze ...

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Showing results 1-20

Machine Learning information

See California, MD salary details

$24.4K

$40.8K

$84.3K

How much do machine learning jobs pay per year?

As of Sep 1, 2026, the average yearly pay for machine learning in California, MD is $40,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,100.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in California, MD?

The most popular types of Machine Learning jobs in California, MD are:

What job categories do people searching Machine Learning jobs in California, MD look for?

The top searched job categories for Machine Learning jobs in California, MD are:

What cities near California, MD are hiring for Machine Learning jobs?

Cities near California, MD with the most Machine Learning job openings:

Infographic showing various Machine Learning job openings in California, MD as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,807 per year, or $19.6 per hour.

AI Intern

Sabre Systems LLC

Lexington Park, MD • On-site

$14.50 - $19.50/hr

Full-time, Internship

Posted 5 days ago


Job description

Responsibilities

Sabre Systems is seeking a motivated and talented AI Intern to help our organization leverage AI across various business units. As an AI Intern, you will work closely with cross-functional teams to identify opportunities for AI integration, develop solutions, and support the implementation of AI-driven processes. This role offers a unique opportunity to gain hands-on experience in applying AI to real-world business challenges while contributing to the company’s strategic goals.

  • Collaborate with business units to identify opportunities for AI-driven improvements in operations, decision-making, and efficiency. 
  • Analyze existing workflows and processes to recommend AI solutions that align with business objectives. 
  • Assist in developing and deploying machine learning models tailored to specific business needs, such as predictive analytics, process automation, and optimization. 
  • Support the integration of AI tools and technologies into existing systems and workflows across departments. 
  • Conduct research on emerging AI trends and technologies to identify innovative solutions for business challenges. 
  • Work with stakeholders to define project requirements, success metrics, and implementation plans for AI initiatives. 
  • Create dashboards, reports, and visualizations to communicate insights and results from AI projects to non-technical stakeholders. 
  • Document AI project methodologies, outcomes, and lessons learned for knowledge sharing across the organization. 
  • Ensure compliance with data security, privacy, and ethical standards in all AI-related activities. 

Qualifications
  • Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Business Analytics, or a related field.
  • Strong analytical skills and the ability to translate business needs into technical solutions. 
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences. 
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
  • Familiarity with business process automation using AI tools and natural language processing (NLP) 
  • Understanding of Agile development methodologies, project management tools
     

It would be great if you have:

  • A strong understanding of machine learning concepts, algorithms, and frameworks.
  • Proficiency in programming languages such as Python, R, or Java.
  • Familiarity with AI tools and libraries, such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with data preprocessing, feature engineering, and visualization tools (e.g., Pandas, Matplotlib, Seaborn).

LI-PH#


Compensation Statement
At Sabre Systems, LLC, compensation is based on factors such as location, qualifications, experience, and contract-specific requirements; however, final compensation will be determined by individual qualifications and applicable contract terms. The general salary range for this position is as follows: $18.00 - $20.00
Refer & Earn: Employee Referral Bonus Eligibility
This requisition is not bonus-eligible, but we still welcome and value your referrals. At Sabre Systems, we encourage employees to refer exceptional candidates. If you have any questions about the referral policy or this position, please contact the Recruiting team.
Sabre Overview

Sabre Systems, LLC, has been providing innovative technological solutions and services for Department of Defense, Federal Civilian, and commercial customers for more than 35 years. We support the ever-evolving areas of advanced communication technologies, cyber, systems and software engineering, and digital transformation.  

With over three decades in business, Sabre Systems, LLC remains committed to our small business values and a people-first philosophy. We foster a welcoming, inclusive culture that values diverse perspectives and encourages open communication. Our collaborative environment supports continuous learning and professional growth at all levels. We prioritize the health, well-being, and success of our employees, offering comprehensive, evolving benefits designed to meet their diverse needs. Join us and be part of a thriving, people-driven culture.

Qualifications:
  • Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Business Analytics, or a related field.
  • Strong analytical skills and the ability to translate business needs into technical solutions. 
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences. 
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
  • Familiarity with business process automation using AI tools and natural language processing (NLP) 
  • Understanding of Agile development methodologies, project management tools
     

It would be great if you have:

  • A strong understanding of machine learning concepts, algorithms, and frameworks.
  • Proficiency in programming languages such as Python, R, or Java.
  • Familiarity with AI tools and libraries, such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with data preprocessing, feature engineering, and visualization tools (e.g., Pandas, Matplotlib, Seaborn).

LI-PH#

Education:UNAVAILABLEEmployment Type: UNAVAILABLE