ZipRecruiter

Log In

2

Remote Machine Learning Engineer Jobs in Redmond, WA

Aquent

AI Engineer - Machine Learning 3

Redmond, WA · On-site +1

$80 - $90/hr

Strong technical foundations in software engineering, machine learning, statistics, and experimental design. * Experience building data-intensive applications, machine learning systems ...

Expedia

Machine Learning Scientist III

Seattle, WA · Remote

Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data ... Partner closely with product managers, engineers, and business stakeholders to understand ...

Expedia

Senior Machine Learning Scientist

Seattle, WA · Remote

$104K - $142K/yr

Partners closely with product, engineering, and operations while mentoring junior scientists and ... Our Machine Learning and Data Science team is growing. We are looking for a Senior Machine Learning ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Redmond, WA

Remote Machine Learning Engineer information

See Redmond, WA salary details

$35.3K

$144.2K

$216.7K

How much do remote machine learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote machine learning engineer in Redmond, WA is $144,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $173,600.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Redmond, WA? The most popular types of Machine Learning Engineer jobs in Redmond, WA are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Redmond, WA? For Remote Machine Learning Engineer jobs in Redmond, WA, the most frequently searched job titles are:
What cities near Redmond, WA are hiring for Remote Machine Learning Engineer jobs? Cities near Redmond, WA with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Redmond, WA as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $144,215 per year, or $69.3 per hour.
Distinguished Machine Learning Engineer

Distinguished Machine Learning Engineer

Geico

Seattle, WA • On-site, Remote

Full-time

Re-posted 9 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

Why Join GEICO?

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 on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. 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.

Distinguished Engineer

GEICO is seeking a Distinguished Engineer (AI Platforms) to join our AI organization. This individual will serve as one of the most senior technical authorities driving the architecture, evolution, and long-term technical strategy of GEICO's Generative AI and virtual agent platforms. This platform directly supports productivity and service quality for 20K+ contact center employees across claims, service, and sales.

In this role, you willoperatewith enterprise-wide technical influence, shaping foundational AI platform capabilities that enable large-scale, production-grade GenAI and agentic workflows across GEICO. You will work closely with senior engineers, architects, product leaders, and executives to define and evolve durable, scalable, and extensible AI systems that underpin multiple lines of business.

The ideal candidate brings a proventrack recordof designing and architecting complex, multi-system AI/ML platforms at scale, deep hands-onexpertise, and a strong passion for Generative AI technologies in real-world production environments.

Key Responsibilities

Enterprise Architecture & Technical Authority

  • Define, own, and evolve the foundational architecture for GEICO's Generative AI and agentic workflow platforms.

  • Serve as a final technical authority on complex architectural decisionsimpactingmultiple products, teams, and business domains.

  • Design interconnected, high-performance, and durable platform components that power end-to-end GenAI workflows, including:

  • Knowledge curation and management

  • Search and retrieval systems

  • Prompt and context management

  • Workflow orchestration and action execution

  • Semantic and knowledge graph systems

Platform & GenAI Applications Strategy, Architecture, and Business Impact

  • Establish and drive multi-year technical strategy and roadmaps for both AI platform capabilities and Generative AI (GenAI) applications in close partnership with product and business leaders.

  • Balance speed, scalability, reliability, and extensibility while ensuring platforms and GenAI applications can support future AI use cases, evolving business needs, and organizational growth.

  • Influence investment decisions by evaluating build vs. buy tradeoffs and architectural choices for both the underlying platform and GenAI applications.

  • Define the reference architecture and best practices for GenAI application development, deployment, and integration, ensuring alignment with overall enterprise architecture.

  • Collaborate with business stakeholders toidentifyhigh-impact GenAI application opportunities and develop strategies to maximize business value and measurable outcomes.

  • Continuously assess and communicate the business impact of GenAI applications, providing clear metrics and feedback loops to inform ongoing strategy and platform evolution.

System & Technology Evaluation

  • Lead evaluation and selection of core technologies, frameworks, and infrastructure componentswithaemphasis on building andscalingGenerativeAI applications, including LLM orchestration(e.g.,LangChain,LlamaIndex), agenticworkflows, RAG systems, andevaluation/observability tooling, while partnering on underling AI platform infrastructure and services to support production readiness.

  • Ensure architectural consistency and technical rigor across open-source, cloud-agnostic, and managed service integrations.

Cross-Organization Influence

  • Collaborate across engineering, data science, ML, product, and design organizations to align on platform and GenAI application direction, technical standards, and businessobjectives.

  • Drive alignment across teams by translating complex technical and business concepts into clear architectural guidance and decision frameworks.

  • Partner with senior technical and business leaders across departments to promote enterprise-wide adoption of GenAI best practices and maximize organizational impact.

Technical Leadership & Problem Solving

  • Tackle the most complex and ambiguous technical and business challenges affecting system-wide and application-specific performance, reliability, and scalability.

  • Lead deep technical reviews, architectural assessments, and design discussions for critical AI and GenAI application initiatives.

  • Guideplatform and GenAI application evolution through hands-onengagementwhen necessary, especially in high-impact or high-risk areas.

Mentorship & Technical Stewardship

  • Mentor senior engineers and technical leads, setting a high bar for architectural thinking, engineering quality, and technical decision-making for both platform and GenAI application initiatives.

  • Establish and reinforce best practices for platform and GenAI application design, reliability, observability, and operational excellence.

  • Contribute to internal documentation, architectural standards, and technical knowledge sharing for both the AI platform and GenAI applications.

Minimum Qualifications

  • Master's degree or higher in Computer Science, Engineering, Statistics, ora relatedfield.

  • 10+ years of professional software engineering experience, with deepexpertisein large-scale distributed systems.

  • Extensive experience architecting and building multi-componentAI/ML platforms using technologies such as:

  • Search and retrieval systems (e.g., Elasticsearch,Qdrant, Milvus,Pinecone,Weaviate)

  • Data platforms (e.g., Snowflake, relational and NoSQL databases, and feature stores)

  • Streaming and distributed processing (e.g., Kafka, Spark, Ray)

  • Workflow orchestration (e.g., Airflow, Temporal, Prefect)

  • LLM orchestration and application frameworks( e.g.,LangChain,Llamaindex)

  • Observability, evaluation, and tracing for GenAI systems (e.g.,LangSmith,ArizePhoenix, Weights & Biases,OpenTelemetry)

  • Vector databases, embedding pipelines,and retrieval-augmented generation (RAG) architectures

  • Agenticframeworksand multi-agent systems for complex task execution

  • Strong background in full software development lifecycle ownership, including CI/CD, Kubernetes, monitoring, and production operations.

  • Deep experience with major cloud platforms such as AWS and Azure.

  • Demonstrated hands-on experience building production systems using LLMs and Generative AI technologies (e.g., GPT, Llama, Mistral, Claude) to power conversational and agentic workflows.


Annual Salary

$210,000.00 - $350,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.


At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge:

Great Company:Protecting customers through life's twists and turns with innovation and integrity.

Great Careers:Personalized development programs, mentorship, and certification assistance.

Great Culture:Inclusive and collaborative culture rooted in shared success.

Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.

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

View All GEICO Jobs

Apply