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From Home Embedded Machine Learning Jobs in Washington, DC

Hybrid Work Policy - 3 days in office, 2 days work from home - Must be able to report to local ... Bachelor's degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related ...

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... This role spans the full ML lifecycle, from dataset development and experimentation to model ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Partner with data scientists to transition models from research/prototype into production-ready ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Partner with data scientists to transition models from research/prototype into production-ready ...

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... This role spans the full ML lifecycle, from dataset development and experimentation to model ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Partner with data scientists to transition models from research/prototype into production-ready ...

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From Home Embedded Machine Learning information

See Washington, DC salary details

$79.3K

$173.7K

$197.1K

How much do from home embedded machine learning jobs pay per year?

As of Jul 13, 2026, the average yearly pay for from home embedded machine learning in Washington, DC is $173,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $148,900.00 and $195,900.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Embedded Machine Learning jobs in Washington, DC? The most popular types of Embedded Machine Learning jobs in Washington, DC are:
What are popular job titles related to From Home Embedded Machine Learning jobs in Washington, DC? For From Home Embedded Machine Learning jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching From Home Embedded Machine Learning jobs in Washington, DC look for? The top searched job categories for From Home Embedded Machine Learning jobs in Washington, DC are:
Machine Learning Engineer II

Machine Learning Engineer II

Geico

Bethesda, MD • Hybrid

$105K - $215K/yr

Full-time

Retirement

Re-posted 16 days ago


GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 356 frontline employees who took The Breakroom Quiz

145th of 281 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