Software Engineer, ML Infrastructure, Level 5

Overview

Snap Inc is a technology company focused on camera-driven experiences. Snap Engineering teams build products reaching hundreds of millions of Snapchat users every day. We’re committed to the well‑being of our global community and move fast with precision, prioritizing privacy.

You’ll play a critical role in scaling ML infrastructure, optimizing AI training and inference systems, and driving innovations that make Snapchat’s ranking and recommendation systems more efficient and impactful.

We’re looking for a Software Engineer, ML Infrastructure to join Snap Inc!

• Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure
• 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
• Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
• Work on state-of-the-art vector search algorithms to improve the precision, recall and scalability of our retrieval systems
• Work closely with ML engineers to deploy cutting-edge models into production

• Strong programming skills in Python, Java, Scala or C++; 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

• Bachelor’s degree in a technical field such as computer science or equivalent experience
• 6+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 5+ years of post-grad software development experience; or PhD in a relevant technical field + 2+ years of post-grad software development experience
• Experience building large scale production machine learning systems, distributed systems or big data processing

• 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 Tensor Flow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks

If you have a disability or special need that requires accommodation, please provide us some information.

Default Together policy:
At Snap, we believe that being together in person helps us build our culture faster and collaborate effectively. We expect team members to work in an office 4+ days per week.

Snap is an equal opportunity employer and is committed to providing employment opportunities regardless of race, religion, color, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, 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 will consider qualified applicants with criminal histories in a manner consistent with applicable law.

Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success.

In the United States, pay is determined based on factors including location, skills, experience, and market conditions. The position may be eligible for equity in the form of RSUs. Base salary ranges vary by geographic zone:

Zone A (CA, WA, NYC): $209,000-$313,000 annually

Zone B: $199,000-$297,000 annually

Zone C: $178,000-$266,000 annually

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

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