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Top Remote Machine Learning Jobs in Seattle, WA

13 Hours Ago
Seattle, WA, USA
Remote
11,000 Employees
Senior level
11,000 Employees
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
In this role, you will lead the development and deployment of machine learning algorithms, train complex models, and collaborate with various engineering teams to integrate AI functionalities into Atlassian products. You'll also be involved in designing system architectures and mentoring other ML engineers while ensuring efficient AI innovation across the company's platforms.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+66 More
16 Hours Ago
36 Locations
Remote
10,000 Employees
100K-150K Annually
Mid level
10,000 Employees
100K-150K Annually
Mid level
Cloud • Information Technology • Sales • Security • Cybersecurity
As a Threat Analyst, you will analyze malware and customer detection tickets, improve detection capability, and support internal teams with questions on threat detections. You will work with various internal teams to enhance product performance and manage false positives.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+47 More
9 Days Ago
US
Remote
305 Employees
163K-213K Annually
Senior level
305 Employees
163K-213K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Internet of Things • Software
The Senior Staff Scientist will develop hybrid AI applications optimized for quantum computing, lead a team of PhD scientists, collaborate across various technical teams, and engage with clients to identify valuable quantum applications. Responsibilities include developing quantum algorithms, integrating them with AI models, and influencing a multi-year Quantum AI roadmap at IonQ.
Top Benefits:
401-K
401-K Matching
Company Equity
+38 More

Featured Jobs

14 Days Ago
United States
Remote
125K-221K Annually
Senior level
125K-221K Annually
Senior level
Big Data • Software
The Sr. Data Scientist/Machine Learning Engineer will develop LLM solutions, optimize ML pipelines, advise clients on data science best practices, and provide technical mentorship. This role involves collaboration with product and engineering teams to influence the roadmap and presenting at conferences.
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