Software Engineer, ML Infrastructure, Content Retrieval Platform, Level 4
About The Position
Snap Inc. is a technology company focused on improving communication through its camera-centric products. The company operates Snapchat, Bitmoji, and other digital services. The Engineering teams at Snap build technically sophisticated products used by millions globally. The Content ML organization is seeking a Software Engineer to join the Content Retrieval Platform team. This team develops and operates large-scale retrieval systems for content recommendation and collaborates with Applied ML teams on architectural changes and model development. They primarily use Java/Go for indexing and serving, with performant components in C++. Current initiatives include building an agentic repository, incubating L0.5, generative retrieval, and redesigning inference feature sourcing.
Requirements
- 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
- Bachelor’s degree in a technical field such as computer science or equivalent experience
- 2+ years of post-Bachelor’s software development experience; or Master’s 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
Nice To Haves
- 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
Responsibilities
- Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure
- Build and enhance feature generation and serving pipelines that power online inferencing and offline training data generation
- Develop high-performance inference systems to ensure fast and efficient AI model serving
- Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud
- Develop high-performance inference systems to ensure fast and efficient AI model serving
- Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
- Work closely with ML engineers to deploy cutting-edge models into production
- Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code
Benefits
- paid parental leave
- comprehensive medical coverage
- emotional and mental health support programs
- compensation packages that let you share in Snap’s long-term success
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
