ZipRecruiter

Log In

1

Online Machine Learning Jobs in Seattle, WA (NOW HIRING)

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.

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 ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi * Requires a ...

1872 Consulting

Machine Learning Engineer

Bellevue, WA · On-site

Machine Learning Engineer - Senior Level Bellevue, WA - HQ Your Skills: * Experience with cloud-based commercial software development on Linux * Experience working with Client infrastructure (MLFlow ...

Atlassian

Machine Learning Engineer

Seattle, WA · On-site +1

As an MLE on this team, you'll work at the intersection of machine learning, information retrieval ... Drive end-to-end experimentation -- from offline evaluation to online A/B testing -- to measure and ...

1872 Consulting

Machine Learning Engineer

Bellevue, WA · On-site

Machine Learning Engineer - Senior Level Bellevue, WA - HQ Your Skills: * Experience with cloud-based commercial software development on Linux * Experience working with Client infrastructure (MLFlow ...

Atlassian

Machine Learning Engineer

Seattle, WA · On-site +1

As an MLE on this team, you'll work at the intersection of machine learning, information retrieval ... Drive end-to-end experimentation - from offline evaluation to online A/B testing - to measure and ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of ...

Snapchat

Machine Learning Engineer, Level 5

Seattle, WA · On-site

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...

previous pagenext page

Showing results 21-40

All JobsOnline Machine Learning JobsOnline Machine Learning Jobs in Seattle, WA

Online Machine Learning information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

How much do online machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for online machine learning in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 per year, depending on experience, location, and employer.

What is online machine learning?

Online machine learning is a method where models are trained incrementally as new data becomes available, rather than being trained all at once on a fixed dataset. This approach is particularly useful in environments where data arrives continuously, such as real-time analytics, recommendation systems, and fraud detection. Online learning algorithms update their knowledge with each new data point, allowing them to adapt quickly to changes and trends. This makes them ideal for applications that require immediate responses and adaptability to evolving data streams.

What are the key skills and qualifications needed to thrive as an online machine learning engineer?

To excel as an Online Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a relevant degree and experience with streaming data. Familiarity with tools such as Apache Kafka, Spark Streaming, Python, TensorFlow, and real-time data processing frameworks is critical. Problem-solving ability, adaptability, and effective communication are essential soft skills for collaborating with multidisciplinary teams and responding to rapidly changing data. These competencies are crucial for building scalable, responsive models that provide timely insights in dynamic production environments.

How does collaboration typically work between online machine learning engineers and data scientists in a project setting?

Online machine learning engineers often work closely with data scientists to ensure that the models they develop can be effectively deployed and updated in real-time environments. While data scientists may focus on feature engineering, model selection, and initial training using historical data, online machine learning engineers are responsible for integrating these models into production systems and implementing mechanisms for continuous learning from live data streams. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration and ensure that the models remain accurate and efficient as new data arrives.

What is the difference between Online Machine Learning vs Data Scientist?

AspectOnline Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related fields; certifications in ML or data analysisBachelor's or master's in CS, statistics, or related fields; advanced degrees often preferred
Work EnvironmentTech companies, startups, research labs; focus on real-time data processingCorporate, consulting, or research settings; focus on data analysis and modeling
Industry UsageMachine learning applications, AI development, real-time systemsData analysis, predictive modeling, business insights

Online Machine Learning specialists focus on developing algorithms that learn continuously from streaming data, often in real-time environments. Data Scientists analyze large datasets to extract insights, build models, and support decision-making. While both roles require knowledge of machine learning, Online Machine Learning emphasizes real-time data processing, whereas Data Scientists focus on data analysis and modeling for strategic insights.

What are the most commonly searched types of Machine Learning jobs in Seattle, WA?

The most popular types of Machine Learning jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Online Machine Learning jobs?

Cities near Seattle, WA with the most Online Machine Learning job openings:

Online Machine Learning jobs near you

Applied Machine Learning Engineer

IUNU

Seattle, WA • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
IUNU is revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations. 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.
Responsibilities:
• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field
Qualifications:
Required:
• 3-5 years of proven experience as a Machine Learning Engineer or a similar role
• Strong experience with Deep Learning
• Understanding of data structures, data modeling, and software architecture
• Deep knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python, Java, and R
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills
• BSc in Computer Science, Mathematics, or a similar field; a Master’s degree is a plus
Company:
IUNU is an industrial computer vision company that connects plants, facilities, and people through a single interface. Founded in 2013, the company is headquartered in Seattle, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Apply