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7 Days Ago
Palo Alto, CA, USA
Hybrid
5,000 Employees
129K-228K Annually
Mid level
5,000 Employees
129K-228K Annually
Mid level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Software Engineer will work on Machine Learning Infrastructure, focusing on building innovative solutions that enhance Snap's core products and support the development of augmented reality experiences.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+55 More
7 Days Ago
San Francisco, CA, USA
Hybrid
5,000 Employees
97K-171K Annually
Junior
5,000 Employees
97K-171K Annually
Junior
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Software Engineer, iOS at Snap Inc. will create and refine high-performance mobile apps for Snapchat, implement well-tested Objective-C software, develop new features, and optimize app performance. Responsibilities include carrying out code reviews, designing stable products, and working closely with the Design team to ensure efficient UI practices.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+55 More
7 Days Ago
San Francisco, CA, USA
Hybrid
5,000 Employees
189K-333K Annually
Expert/Leader
5,000 Employees
189K-333K Annually
Expert/Leader
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Software Engineering Manager will lead the Model Serving Infrastructure Team, designing and operating critical scalable services while collaborating with cross-functional teams to meet product requirements. The role involves overseeing backend systems, advocating best practices for operational excellence, and managing a team focused on high-throughput distributed systems and machine learning frameworks.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+55 More
7 Days Ago
San Francisco, CA, USA
Hybrid
5,000 Employees
208K-366K Annually
Senior level
5,000 Employees
208K-366K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
As a Principal Software Engineer on the Ad Attribution team, you will oversee technical aspects of attribution signals, design and implement scalable services for signal processing, and collaborate across teams to meet performance advertising needs while advocating for best practices in system operations.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+55 More
8 Days Ago
Palo Alto, CA, USA
Hybrid
5,000 Employees
129K-228K Annually
Mid level
5,000 Employees
129K-228K Annually
Mid level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
As a Solutions Engineer at Snap Inc, you will build and improve products, collaborate with engineering teams, develop end-to-end systems, and deliver high-quality project engagements. Your role involves writing efficient code, mentoring junior members, and using insights from product metrics to enhance partner relationships and solutions.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+55 More
8 Days Ago
San Francisco, CA, USA
Hybrid
5,000 Employees
189K-333K Annually
Senior level
5,000 Employees
189K-333K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Staff Software Engineer will lead the development of large-scale content delivery and recommendation systems for Snapchat, focusing on optimizing indexing, retrieval, feature management, and online ML/ranking systems. This role involves coaching team members and collaborating with cross-functional partners to enhance content products.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+55 More
8 Days Ago
Seattle, WA, USA
Hybrid
5,000 Employees
189K-333K Annually
Mid level
5,000 Employees
189K-333K Annually
Mid level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
As a Staff Software Engineer on the Content Relevance Team at Snap Inc, you will drive the technical direction for building large-scale content delivery and recommendation systems. This includes optimizing components like retrieval systems and ML ranking systems. You will also coach team members and collaborate with cross-functional partners.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+55 More
8 Days Ago
Palo Alto, CA, USA
Hybrid
5,000 Employees
189K-333K Annually
Senior level
5,000 Employees
189K-333K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Staff Software Engineer will lead the technical direction for Snap's Content Relevance Team, focusing on building large-scale content delivery and recommendation systems. Responsibilities include optimizing key components of the content stack, leveraging expertise in ML/Ranking systems, and coaching team members.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+55 More
8 Days Ago
Seattle, WA, USA
Hybrid
5,000 Employees
189K-333K Annually
Expert/Leader
5,000 Employees
189K-333K Annually
Expert/Leader
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The role involves combining software engineering with machine learning to create scalable workflows for deep learning, developing backend infrastructure for cloud and mobile inference, and building data management systems for collection and evaluation of machine learning data.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+55 More
8 Days Ago
Palo Alto, CA, USA
Hybrid
5,000 Employees
189K-333K Annually
Expert/Leader
5,000 Employees
189K-333K Annually
Expert/Leader
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Staff Software Engineer, Machine Learning Infrastructure will develop scalable machine learning workflows, collaborate with product teams to implement machine learning applications, and build data management systems for processing and evaluation. This role emphasizes backend infrastructure for efficient machine learning on mobile and cloud platforms.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+55 More
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