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Entry Level Machine Learning Engineer Jobs in Washington

Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models. Work closely with cross-functional teams, from ...

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Entry Level Machine Learning Engineer information

See Washington salary details

$34K

$78.6K

$133.6K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for entry level machine learning engineer in Washington is $78,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $88,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Washington? The most popular types of Machine Learning Engineer jobs in Washington are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Washington look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Washington are:
What cities in Washington are hiring for Entry Level Machine Learning Engineer jobs? Cities in Washington with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Washington as of July 2026, with employment types broken down into 1% Locum Tenens, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $78,559 per year, or $37.8 per hour.
Machine Learning Engineer II

Machine Learning Engineer II

Geico

Bethesda, MD • Hybrid

$105K - $215K/yr

Full-time

Retirement

Posted 12 days ago


GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 354 frontline employees who took The Breakroom Quiz

143rd of 278 rated insurance


Job description

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 through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose.

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.

DUTIES: Design, implement, and deploy end-to-end machine learning solutions. Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models. Work closely with cross-functional teams, from product and business units to data scientists, ensuring seamless integration of ML models into business-critical applications. Independently design, implement, deploy, and maintain machine learning models and components that solve real-world business problems in close collaboration with the 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 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. Collaborate with PM, Design, Product Engineering, and Data Science teams to ensure end-to-end business impact. May require pre-hire technical screen. Hybrid Work Policy - 3 days in office, 2 days work from home - Must be able to report to local office. Multiple positions open. Salary $105,000 to $215,000 per year.

REQUIREMENTS: Bachelor's degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative field. Two (2) years of experience as a Software Engineer, or related occupation. Two (2) years of experience with: Developing and deploying machine learning models in production environments, with expertise in a variety of ML techniques; Writing production-grade code and creating APIs using frameworks such as TensorFlow, PyTorch, or Scikit-learn; Cloud-based environments and familiarity with containerization and orchestration tools; Building data processing and ML workflow pipelines using SQL, Spark, and Python scripting; Utilizing distributed computing frameworks and large-scale data processing tools; ML algorithm foundations; Engineering skills to develop production ML/AI systems; Transforming business problems into ML/AI problems; Advanced machine learning algorithms and techniques, including supervised, unsupervised, and generative models; Python; ML frameworks, such as TensorFlow, Keras, and PyTorch; Software development best practices, such as CI/CD, containerization, and version control; Cloud platforms (AWS, Azure, GCP) and ability to leverage them for scalable and efficient ML solutions; and Data engineering concepts, including building scalable ETL pipelines, working with big data tools (Spark, Kafka), and ensuring smooth data flow for ML workflows.

TO APPLY: Visit, https://careers.geico.com/



The GEICO Pledge:

Great Company:At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.

We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives.

Great Careers:We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.

Great Culture:We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.

As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

Great Rewards:We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.
  • Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

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