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Machine Learning Engineer Jobs in California, MD

Sr. Software Engineer

Dahlgren, VA · On-site

$124.90K - $164.70K/yr

The Sr Software Engineer will support the design, development, testing, and documentation of ... Big data, data mining, machine learning, or artificial intelligence techniques * Successful ...

Data Analytics Engineer

Lexington Park, MD · On-site

$111.20K - $133.50K/yr

Knowledge of advanced analytics principals (statistical modeling, machine learning, AI ... software engineering, and digital transformation. With over three decades in business, Sabre ...

Software Engineer- Sr.

Dahlgren, VA · Remote

$110K - $175K/yr

Big data, data mining, machine learning, or artificial intelligence techniques Knowledge, Skill and Abilities: * Strong knowledge of software engineering principles, methodologies, and lifecycle ...

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Showing results 1-20

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 2, 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 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 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 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 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 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.

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 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:
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.
Machine Learning Engineering Manager, Model Delivery

Machine Learning Engineering Manager, Model Delivery

Autodesk

California, MD

$148.50K - $266.20K/yr

Full-time

Posted 13 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 184 rated software companies


Job description

Job Requisition ID #

26WD95770

Position Overview

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.

As a Machine Learning Engineering Manager on the Model Delivery team within Autodesk Research, you will lead production ML engineering across deployment, monitoring, evaluation, reliability, and operational excellence for ML-powered features. This is a hands-on leadership role, combining people leadership with hands-on technical work. You'll help deliver and operate ML systems that include 2D/3D generative models and other AI capabilities used across Autodesk products.

You will report to the Head of Model Delivery within Autodesk Research. This role is based in proximity to our North American Autodesk offices, including San Francisco, Portland, Boston, Toronto, Montreal, and Vancouver. We support both in-person, hybrid, and remote work.

Responsibilities

  • Lead and grow a team of ML engineers focused on production ML systems

  • Lead model improvements in response to production issues, product feedback, and new research or platform advancements

  • Lead production release processes for ML services, including release planning, CI/CD, staged rollouts, and rollback procedures

  • Build and operate observability and on-call practices for ML features, including monitoring, alerting, dashboards, incident response, and post-incident reviews

  • Develop and maintain scalable evaluation frameworks, datasets, and automated regression tests to prevent quality regressions

  • Lead reliability, performance, and cost improvements for inference and serving, including capacity planning and meeting SLAs (latency, throughput, availability)

  • Partner with researchers, product, and platform teams to define quality bars and production readiness, including Trusted AI requirements

  • Establish and evolve production standards and governance across ML features (testing, evaluation methodology, release gates, model versioning and lineage)

  • Partner with platform and product teams to integrate ML capabilities into products

Minimum Qualifications

  • BS/MS in CS/Engineering or equivalent experience

  • Experience building and operating software systems, including production ML systems

  • People leadership experience, or strong technical leadership experience (mentoring, setting direction, driving delivery)

  • Experience with cloud infrastructure and production observability (AWS, Azure, or GCP)

  • Experience with CI/CD, reproducible deployments, and operating services in production

  • Strong written communication and documentation skills

Preferred Qualifications

  • Owned an end-to-end production ML service (releases, monitoring, incidents, and improvements)

  • Experience with model evaluation, quality metrics, and continuous testing in CI/production

  • Experience optimizing inference latency and cost

  • Experience deploying large or foundation models in production (performance, scaling, and efficiency tradeoffs)

  • Experience with 3D data (geometry/CAD/BIM) and/or generative AI systems is a plus"

  • Familiarity with CAD, BIM, manufacturing, AEC, or media workflow

If you're excited about this role but don't meet every qualification, we encourage you to apply.

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $148,500 and $266,200. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).


Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982