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Remote Machine Learning Architect Jobs (NOW HIRING)

Machine Learning Engineer

Seattle, WA ยท On-site +1

$164K - $266K/yr

Architect sophisticated Retrieval-Augmented Generation (RAG) pipelines and advanced context ... Employee divides their time between in-office and remote work. Access to an office location is ...

... * We're remote -- Work from wherever you want. We collaborate in real time on Slack or ... Strong fundamentals in machine learning including model architecture design, training strategies ...

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven features across multiple products * Design reusable architecture that powers and accelerates machine ...

... * We're remote - Work from wherever you want. We collaborate in real time on Slack or ... Strong fundamentals in machine learning including model architecture design, training strategies ...

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven features across multiple products * Design reusable architecture that powers and accelerates machine ...

The Machine Learning Engineer will design scalable ML solutions to enhance patient outcomes and ... to ML architecture decisions, tooling selection, and platform improvements within the Azure ...

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ... Understanding of data structures, data modeling and software architecture. * A passion for (and ...

Architect and deliver cutting-edge ML solutions using MLOps and best practices, fostering ... Reliable internet access for remote working opportunities How You'll Be Rewarded Salary range in ...

Senior Machine Learning Engineer

$107K - $146K/yr

Remote Interview Mode: Virtual interview Type: Long term contract Rate: Open (Can submit at any ... The ideal candidate can serve as both solutions architect as well as hands-on implementation ...

Architect and deliver cutting-edge ML solutions using MLOps and best practices, fostering ... Reliable internet access for remote working opportunities How You'll Be Rewarded Salary range in ...

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Remote Machine Learning Architect information

See salary details

$46.5K

$128.8K

$201.5K

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

As of Jun 18, 2026, the average yearly pay for remote machine learning architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

How does a Remote Machine Learning Architect typically collaborate with distributed teams to deliver successful projects?

As a Remote Machine Learning Architect, effective collaboration with globally distributed teams is essential. You will often coordinate with data scientists, software engineers, and business stakeholders via virtual meetings, shared documentation, and project management tools. Regular communication, clear documentation of model designs, and version control practices are crucial to ensure alignment and smooth integration of machine learning solutions. Adopting agile methodologies and being proactive in addressing time zone differences help maintain project momentum and foster a productive team environment.

What is the difference between Remote Machine Learning Architect vs Data Scientist?

AspectRemote Machine Learning ArchitectData Scientist
Required CredentialsMaster's or PhD in CS, AI, or related fields; certifications in ML frameworksMaster's in Data Science, Statistics, or related; certifications in data analysis tools
Work EnvironmentDesigning ML systems, collaborating with engineering teams, remote or on-siteAnalyzing data, building models, often remote or in-office
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Remote Machine Learning Architects focus on designing and implementing scalable ML systems, while Data Scientists analyze data and build models. Both roles require advanced degrees and often overlap in skills, but their core responsibilities differ in scope and focus.

What is a Remote Machine Learning Architect?

A Remote Machine Learning Architect is a professional who designs, builds, and oversees machine learning systems and infrastructure while working remotely. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate algorithms, and ensure scalable deployment of machine learning models. Their responsibilities include setting technical standards, optimizing workflows, and ensuring integration with existing IT infrastructure, all accomplished through remote communication and collaboration tools. This role requires strong expertise in machine learning, cloud platforms, and software engineering.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Architect, and why are they important?

To thrive as a Remote Machine Learning Architect, you need deep expertise in machine learning algorithms, model development, and a solid background in computer science or related fields, often supported by an advanced degree. Familiarity with cloud platforms (such as AWS, Azure, or GCP), deep learning frameworks (like TensorFlow or PyTorch), and relevant certifications are typically expected. Strong problem-solving, communication, and project management skills help you collaborate effectively with distributed teams and stakeholders. These skills and qualities are crucial for designing scalable ML solutions that drive business value in a remote work environment.
More about Remote Machine Learning Architect jobs
What cities are hiring for Remote Machine Learning Architect jobs? Cities with the most Remote Machine Learning Architect job openings:
What are the most commonly searched types of Machine Learning Architect jobs? The most popular types of Machine Learning Architect jobs are:
What states have the most Remote Machine Learning Architect jobs? States with the most job openings for Remote Machine Learning Architect jobs include:
Machine Learning Engineer

Machine Learning Engineer

DocuSign

Seattle, WA โ€ข On-site, Remote

$164K - $266K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 21 days ago


Job description

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

What you'll do

As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You will bridge the gap between core AI research and production-grade engineering, developing scalable platforms for autonomous agents, advanced retrieval systems, and automated model optimization.

This position is an individual contributor role reporting to the Director, Machine Learning Engineering.

Responsibility

  • Build and maintain high-performance distributed systems to support large-scale model inference and data processing

  • Design frameworks for multi-agent systems, focusing on state management, reliability, and long-running autonomous workflows

  • Architect sophisticated Retrieval-Augmented Generation (RAG) pipelines and advanced context management strategies to improve model accuracy and relevance

  • Develop platform-level tools for automated prompt engineering, evaluation, and optimization to accelerate the AI development lifecycle

  • Implement robust ML pipelines, focusing on observability, versioning, and the seamless deployment of generative AI services

Job Designation

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

What you bring

Basic

  • 5+ years of experience in machine learning engineering, software engineering, or related operational roles

  • Experience in software engineering with a focus on distributed systems and scalable backend architecture

  • Deep understanding of the ML lifecycle, from data ingestion and training to production monitoring

  • Experience building with LLMs, including RAG architectures and sophisticated prompt engineering

  • Experience deploying and maintaining ML models in high-traffic, production environments

  • Expertise in Python and experience with modern ML frameworks such as PyTorch

Preferred

  • Experience with distributed task queues or stateful workflow engines for managing complex, multi-step AI processes

  • Experience with frameworks designed for horizontal scaling of compute-intensive ML workloads

  • Experience designing "agent-loop" architectures that involve tool-use, self-correction, and multi-step reasoning

  • Familiarity with vector storage systems and high-throughput data processing pipelines

Wage Transparency

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Based on applicable legislation, the below details pay ranges in the following locations:

California: $164,700.00 - $266,000.00 base salary

Washington: $158,300.00 - $232,575.00 base salary

This role is also eligible for the following:

  • Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
  • Stock: This role is eligible to receive Restricted Stock Units (RSUs).

Global benefits provide options for the following:

  • Paid Time Off: earned time off, as well as paid company holidays based on region
  • Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
  • Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
  • Retirement Plans: select retirement and pension programs with potential for employer contributions
  • Learning and Development: options for coaching, online courses and education reimbursements
  • Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events
Life at DocuSign

Working here

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live.

Accommodation

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.

Applicant and Candidate Privacy Notice

States Not Eligible for Employment

This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.

EEO Statement

It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.

EEO Know Your Rights poster

Employment Type: FULL_TIME