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Machine Learning Biomedical Engineer Jobs in Bremerton, WA

2T Consulting

Machine Learning Engineer

Seattle, WA · On-site

Develop platform-level tools for prompt engineering, automated evaluation, prompt optimization, and experimentation. * Deploy, monitor, and maintain machine learning and generative AI models in ...

New

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Apple Inc.

Machine Learning Engineer

Seattle, WA · On-site

$175 - $308.50/hr

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Robinhood

Machine Learning Engineer

Bellevue, WA

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

Machine Learning Role 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 the ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Machine Learning Role 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 the ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Unchain Data

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

New

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

Apple

Machine Learning Engineer

Seattle, WA

$175K - $308K/yr

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

They are seeking an Applied Machine Learning Engineer to develop products for their clients and the greenhouse industry, focusing on creating machine learning models and retraining systems.

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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 7, 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.

Machine Learning Engineer

2T Consulting

Seattle, WA • On-site

Full-time

Posted yesterday

New

Job description

Responsibilities
  • Design, develop, and maintain high-performance distributed systems to support large-scale machine learning inference and data processing.
  • Build and optimize scalable machine learning pipelines for model training, deployment, monitoring, and lifecycle management.
  • Design and implement frameworks for multi-agent AI systems, emphasizing state management, reliability, and long-running autonomous workflows.
  • Architect and enhance Retrieval-Augmented Generation (RAG) pipelines and advanced context management strategies to improve model accuracy, relevance, and response quality.
  • Develop platform-level tools for prompt engineering, automated evaluation, prompt optimization, and experimentation.
  • Deploy, monitor, and maintain machine learning and generative AI models in production environments.
  • Implement robust MLOps practices, including model versioning, observability, monitoring, and automated deployment pipelines.
  • Collaborate with cross-functional teams to design, develop, and deliver AI-powered products and services.
  • Optimize system performance, scalability, and reliability for high-volume production workloads.
  • Stay current with emerging technologies, frameworks, and best practices in machine learning and generative AI.
Required Qualifications
  • Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Software Engineering, or a related field (or equivalent practical experience).
  • 5+ years of experience in machine learning engineering, software engineering, or related technical roles.
  • Strong experience designing and developing distributed systems and scalable backend architectures.
  • Deep understanding of the end-to-end machine learning lifecycle, including data ingestion, model training, evaluation, deployment, monitoring, and maintenance.
  • Hands-on experience building applications using Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) architectures and advanced prompt engineering techniques.
  • Experience deploying, scaling, and maintaining machine learning models in production environments.
  • Strong programming skills in Python.
  • Experience with modern machine learning frameworks such as PyTorch.
  • Strong understanding of software engineering best practices, including testing, version control, and code quality.
  • Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with distributed task queues or workflow orchestration frameworks for managing complex, multi-stage AI processes.
  • Experience with frameworks that support horizontal scaling of compute-intensive machine learning workloads.
  • Knowledge of agentic AI architectures, including multi-agent systems, tool integration, self-correction, and iterative reasoning workflows.
  • Familiarity with vector databases, embedding technologies, and high-throughput data processing pipelines.
  • Experience implementing MLOps practices, CI/CD pipelines, and cloud-based machine learning infrastructure.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.

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