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Machine Learning Biomedical Engineer Jobs in Seattle, WA

Machine Learning Engineer

Seattle, WA ยท On-site +1

$164K - $266K/yr

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 ...

Machine Learning Engineer II Why We Have This Role We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize ...

Machine Learning Engineer II Why We Have This Role We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize ...

The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer to join us. CreativeX is on a mission to enable brands of ...

The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer to join us. CreativeX is on a mission to enable brands of ...

Machine Learning Manager

Seattle, WA ยท On-site

$180K - $250K/yr

Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Machine Learning Engineer

Seattle, WA

$93K - $125K/yr

We are looking for a Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation, building ...

Machine Learning Manager

Seattle, WA ยท On-site

$180K - $250K/yr

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

Machine Learning Engineer I

Seattle, WA ยท On-site

$100K - $150K/yr

Machine Learning Engineer I Seattle Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully autonomous sales ...

About the Role As a Principal Machine Learning Engineer in Agent Factory, you'll design and build the core ML systems behind Workday's next generation of AI agents. Working within a small, senior ...

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Showing results 1-20

Machine Learning Biomedical Engineer information

See Seattle, WA salary details

$35.8K

$146.5K

$220.2K

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

As of Jun 23, 2026, the average yearly pay for machine learning biomedical engineer in Seattle, WA is $146,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $176,400.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

What does a Machine Learning Biomedical Engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

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

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

How does a Machine Learning Biomedical Engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.
What are popular job titles related to Machine Learning Biomedical Engineer jobs in Seattle, WA? For Machine Learning Biomedical Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Seattle, WA look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Machine Learning Biomedical Engineer jobs? Cities near Seattle, WA with the most Machine Learning Biomedical Engineer job openings:
Machine Learning Engineer

Machine Learning Engineer

DocuSign

Seattle, WA โ€ข On-site, Remote

$164K - $266K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 26 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