Software Engineer, ML Infrastructure, Core Inference, Level 4

The Company operates Snapchat a visual messaging app that enhances your relationships with friends family and the world and Specs Inc. a wholly-owned subsidiary dedicated to making computing more human in addition to Bitmoji Saturn and other digital services.

Were looking for a Software Engineer to join the Core Inference team part of the core ML Platform organization. Our team builds and owns the machine learning infrastructure that powers personalized experiences across Snap. As a centralized ML platform team we enable teams across the company to deploy optimize and serve sophisticated machine learning models reliably and efficiently at scale.

We own the end-to-end inference stack for recommendation models embedding-generation models and self-hosted large language models. Our platform supports nearly every major organization at Snap including Ads Content Growth Lenses Security and My AI.

What youll do:

• Support the models powering personalized experiences across Discover Stories Spotlight and other Snap products with ranking needs.
• Optimize export and prepare models for efficient production use while working across training and inference.
• Own the infrastructure used to host and serve recommendation models embedding-generation models and self-hosted LLMs.
• Work on LLM fine-tuning reinforcement learning infrastructure serving and inference optimization.
• Provide model-hosting and serving capabilities to teams across Ads Content Growth Lenses Security My AI and other product areas.
• Own the inference components that power advertising models while Ads teams generally own the ad products formats modeling objectives and ranking strategies.
• Provide ranking and ML infrastructure for products such as Camera Creative Tools Maps Chat Memories Games and Minis when those products require model hosting or serving.

Knowledge Skills & Abilities:

• Strong programming skills in Python Java
• Strong problem-solving skills with a focus on system performance scalability and efficiency
• Good understanding of distributed systems and the infrastructure components of large-scale ML
• Experience with big data processing frameworks such as Spark Flink or Ray
• Ability to collaborate and work well with others
• Proven track record of operating highly-available systems at significant scale
• Ability to proactively learn new concepts and apply them at work
• Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices

Minimum Qualifications:

• Bachelors degree in a technical field such as computer science or equivalent experience
• 2 years of post-Bachelors software development experience; or Masters degree in a technical field 1 year of post-grad software development experience; or PhD in a relevant technical field
• Experience building large scale production machine learning systems distributed systems or big data processing

Preferred Qualifications:

• Masters/PhD in a technical field such as computer science or equivalent industry experience
• Experience working with ML Training platforms or optimizing AI model inference
• Familiarity with ML frameworks such as TensorFlow PyTorch Caffe2 Spark ML scikit-learn or related frameworks

Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster reinforce our values and serve our community customers and partners better through dynamic collaboration. To reflect this we practice a default together approach and expect our team members to work in an office 4 days per week.

At Snap we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer and committed to providing employment opportunities regardless of race religious creed color national origin ancestry physical disability mental disability medical condition genetic information marital status sex gender gender identity gender expression pregnancy childbirth and breastfeeding age sexual orientation military or veteran status or any other protected classification in accordance with applicable federal state and local laws. EOE including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring where applicable).

Compensation

In the United States work locations are assigned a pay zone which determines the salary range for the position. The successful candidates starting pay will be determined based on job-related skills experience qualifications work location and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

The base salary range for this position is $157000-$235000 annually.

The base salary range for this position is $149000-$223000 annually.

:

The base salary range for this position is $133000-$200000 annually.

This position is eligible for equity in the form of RSUs.

If you believe this job description is missing required pay transparency information please submit a report through this form : Job Description Pay Range Disclosure .

Required Experience:

IC