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Machine Learning Biomedical Engineer Jobs in Bremerton, WA

AvePoint

Lead Machine Learning Engineer

Seattle, WA · On-site

$200K - $245K/yr

We are seeking an analytical and innovative Machine Learning Engineer to join our Data & AI team. You will play a key role in developing and deploying advanced machine learning models to solve real ...

Qualtrics

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

Senior Machine Learning Engineer 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 ...

Hive

Senior Machine Learning Engineer

Seattle, WA

$160K - $250K/yr

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Bespoke Labs

Machine Learning Engineer

Bellevue, WA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

1 point system

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

Socket.dev

Principal Machine Learning Engineer

Seattle, WA · On-site

$180 - $250/hr

AI Senior Principal Machine Learning Engineer Experience : 12 to 18 years Skills : Python/Java, Cloud, PyTorch, CUDA, MapReduce, Spark, Flink, Kafka, PySpark, SageMaker About the position Are you ...

New

Axon

Sr Machine Learning Engineer I

Seattle, WA · Hybrid

$118K - $163K/yr

Your Impact As a Senior Machine Learning Engineer at Dedrone by Axon, you will design, build, and deploy machine learning systems that power real-time detection, classification, tracking, and ...

Bespoke Labs

Machine Learning Engineer

Seattle, WA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Bellevue, WA

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Showing results 41-60

All JobsMachine Learning Biomedical Engineer JobsMachine Learning Biomedical Engineer Jobs in Bremerton, WA

Machine Learning Biomedical Engineer information

See Bremerton, WA salary details

$33.8K

$138.1K

$207.6K

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

As of Aug 8, 2026, the average yearly pay for machine learning biomedical engineer in Bremerton, WA is $138,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $166,300.00 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 job categories do people searching Machine Learning Biomedical Engineer jobs in Bremerton, WA look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Bremerton, WA are:
What cities near Bremerton, WA are hiring for Machine Learning Biomedical Engineer jobs? Cities near Bremerton, WA with the most Machine Learning Biomedical Engineer job openings:
Machine Learning Biomedical Engineer jobs near you
Infographic showing various Machine Learning Biomedical Engineer job openings in Bremerton, WA as of June 2026, with employment types broken down into 75% Full Time, 18% Part Time, 3% Temporary, 1% Contract, and 3% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $138,148 per year, or $66.4 per hour.

Lead Machine Learning Engineer

AvePoint

Seattle, WA • On-site

$200K - $245K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

About AvePoint: 

Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers worldwide rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint's global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com.

At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you!

What You'll Be Doing: 

We are seeking an analytical and innovative Machine Learning Engineer to join our Data & AI team. You will play a key role in developing and deploying advanced machine learning models to solve real-world business challenges. Your efforts will help optimize data pipelines, extract actionable insights, and shape the future of intelligent solutions at AvePoint. 

Your Key Responsibilities: 

  • Design, build, and deploy machine learning models leveraging structured and unstructured data. 
  • Shape and engineer data pipelines for optimal model performance and production-grade scalability. 
  • Collaborate cross-functionally with engineers, researchers, and product teams to define requirements and deliver impactful AI/ML solutions. 
  • Analyze experimental data, conduct model validation, and continuously improve accuracy and robustness. 
  • Document methodologies and results, presenting findings to both technical and non-technical stakeholders. 
  • Stay up-to-date with the latest advancements in machine learning and data science best practices. 
  • Support operationalizing models within AvePoint's ecosystem, ensuring responsible data handling and compliance. 

Preferred Qualifications: 

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or related field (PhD not required, but a strong plus). 
  • 10+ years of hands-on machine learning experience, including building, evaluating, and streamlining data-driven models for business use. 
  • Proficiency with Python and major ML/data libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch). 
  • Strong background in data wrangling, cleansing, feature engineering, and ETL pipeline development. 
  • Practical experience deploying models in a cloud or distributed environment. 

What We Value: 

  • Commitment to excellence and continual professional development. 
  • Excellent analytical, problem-solving, and communication skills. 
  • Initiative and ownership in research and project execution. 
  • Collaboration with diverse, global teams. 
  • Clarity in communicating technical information to varied audiences. 

Benefits We Offer  

  • Competitive market-based compensation (salary, yearly bonus + equity).  
  • Career progression and internal mobility opportunities.  
  • Work-life balance through a hybrid working model.  
  • Unlimited PTO. 

This role offers the opportunity to work at the intersection of machine learning innovation and industry impact, contributing to AvePoint's vision for secure, intelligent, and data-driven workplaces. 

If you are passionate about transforming data into actionable solutions and want to be part of a global tech leader, we want to hear from you! 

The Salary Range for this role is $200,000 - $245,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions-apply even if your expectations fall outside the range.

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