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Machine Learning Engineer Jobs in California, MD

Autodesk

Sr Principal Applied AI Engineer

California, MD

$120K - $165K/yr

It is an engineering and applied AI leadership role for someone with a proven track record of ... Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Data Science, Information ...

Motorola

Director of Computer Vision

California, MD

Our AI-powered security solutions integrate advanced video analytics, machine learning, and ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Motorola

Director of Voice AI

California, MD · On-site

Our AI-powered security solutions integrate advanced video analytics, machine learning, and ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Cloudera

Staff Software Engineer, Spark

California, MD · On-site +1

$164K - $210K/yr

We are seeking a Staff Engineer with a strong technical background in Spark to lead the Cloudera Data Engineering Spark experience for all customers using Cloudera Data Services, Machine Learning ...

SimVentions, Inc

Mid-to-Senior Data Scientist

Dahlgren, VA · On-site

$110K - $162K/yr

Strong proficiency in programming languages such as Python, Java, or C++ * Solid understanding of machine learning algorithms, data structures, and statistical models Responsibilities The primary ...

SimVentions, Inc

Mid-to-Senior Data Scientist

Dahlgren, VA · On-site +1

$110K - $162K/yr

Strong proficiency in programming languages such as Python, Java, or C++ * Solid understanding of machine learning algorithms, data structures, and statistical models Responsibilities The primary ...

SimVentions

Mid-to-Senior Data Scientist

Dahlgren, VA · Remote

$110K - $162K/yr

Strong proficiency in programming languages such as Python, Java, or C++ * Solid understanding of machine learning algorithms, data structures, and statistical models Responsibilities The primary ...

Job Openings

Software Developer - Junior Level

Dahlgren, VA · On-site

$68K - $88K/yr

... Machine Learning. Other responsibilities include: * Interface design and development experience ... Knowledge of programming languages, such as Java, Python, or C# * Knowledge of architecture styles ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in California, MD

Machine Learning Engineer information

See California, MD salary details

$30.2K

$123.4K

$185.4K

How much do machine learning engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for machine learning engineer in California, MD is $123,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $148,500.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

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.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
More about Machine Learning Engineer jobs
What job categories do people searching Machine Learning Engineer jobs in California, MD look for? The top searched job categories for Machine Learning Engineer jobs in California, MD are:
What cities near California, MD are hiring for Machine Learning Engineer jobs? Cities near California, MD with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in California, MD as of May 2026, with employment types broken down into 1% Internship, 53% Full Time, 44% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $123,398 per year, or $59.3 per hour.
Data Analytics Intern

Data Analytics Intern

Sabre Systems LLC

Lexington Park, MD • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Responsibilities

Sabre Systems is seeking a Data Analytics Intern to support our team in working with operational and customer stakeholders. The successful candidate will help gather, process, and organize data from various sources, and assist in basic data visualization and analysis tasks. You will work with team members on important projects that contribute to our analytics capabilities.

  • Assist data engineers and developers in collecting and preparing data for analysis 
  • Support data analysts and data scientists in organizing data sources for analytics projects 
  • Help communicate with business and operational stakeholders to understand their data needs 
  • Assist in documenting data sources and data pipelines (such as creating data dictionaries and flow diagrams) 
  • Participate in team meetings and contribute to project discussions 

Qualifications
  • Bachelor’s degree in an information technology or related field (or equivalent experience) 
  • Up to one (1) year of related experience (internships or academic projects welcome) 
  • Basic knowledge of at least one analytical programming language (such as Python, R, or SQL) 
  • Familiarity with code repositories & version control (such as Git) 
  • Exposure to at least one BI/visualization tool (such as Tableau, Power BI, or Qlik) 
  • Strong interest in learning about data analytics and working with customers 
  • Interest in cybersecurity or Risk Management Framework (RMF) 
  • Basic understanding of analytics concepts (such as statistics or machine learning) 
  • Experience with dashboards (school projects or internships) 

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: $20.00 - $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.

We respect the unique perspectives that a diverse workforce of minorities, women, individuals with disabilities, and protected veterans brings not only to our company, but also to our customers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, age, disability or genetic information.

 

EEO Minorities/Females/Disability/Veterans; VEVRAA Federal Contractor

Beware of employment scams—Sabre Systems will never request payment, extend offers without an interview, or contact you from an email that doesn’t end in @sabresystems.com; always apply directly at https://careers.sabresystems.com/. 

Qualifications:
  • Bachelor’s degree in an information technology or related field (or equivalent experience) 
  • Up to one (1) year of related experience (internships or academic projects welcome) 
  • Basic knowledge of at least one analytical programming language (such as Python, R, or SQL) 
  • Familiarity with code repositories & version control (such as Git) 
  • Exposure to at least one BI/visualization tool (such as Tableau, Power BI, or Qlik) 
  • Strong interest in learning about data analytics and working with customers 
  • Interest in cybersecurity or Risk Management Framework (RMF) 
  • Basic understanding of analytics concepts (such as statistics or machine learning) 
  • Experience with dashboards (school projects or internships) 
Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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