Software Engineer (ML Infrastructure, Content Retrieval Platform, Level 4)

• We’re looking for a Software Engineer to join the Content Retrieval Platform team, part of the Content ML organization. We develop and operates on large scale retrieval system for content recommendation, partner with Applied ML teams for architecture changes and model developments
• We utilize Java/Go as the main indexing and serving languages with performant pieces in C++. We are building agentic repo starting from retrieval root and incubating L0.5, generative retrieval, and redesign of inference feature sourcing
• 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
• 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

• Up to 28 weeks of parental leave and return-to-work program
• Adoption, surrogacy, infertility, and fertility preservation benefits
• Backup child care coverage, center-based care support, & caregiver assistance
• Dependent Daycare Flexible Spending Account
• For Snap, employees taking care of loved ones with complex, chronic, or ongoing care needs (i.e. parent with Dementia, spouse with Cancer, child with Autism), your family can save time, money, & stress with Wellthy
• Short-term disability, long-term disability, basic life insurance, and AD&D insurance
• Lactation rooms (based on office location) and breastmilk shipping coverage
• Services to support your path to parenthood & beyond - fertility support & family planning via Carrot, SNOO, Hinge Health
• Comprehensive medical coverage, including PPO, HDHP with HSA, and HMO options
• Dental coverage, including orthodontia benefits
• Vision coverage, including frame and contact allowance and LASIK benefits
• Free membership to One Medical for primary and urgent healthcare services
• Business Travel Insurance
• Gym perks and discounts
• Team fitness classes and races
• Sports leagues
• Cooking and nutritional workshops
• Well-being reimbursement
• Unlimited access to virtual physical therapy with Anthem
• 15 sessions per year of mental health for you + dependents through Lyra
• Generous time off and leave programs. In the US, this includes the following:
• Up to 3 weeks (120 hours) of vacation time and 1 floating holiday for non-exempt team members
• 15 sick and safe days per year
• 12 paid holidays per year
• Speaker series, classes, and subscriptions to educational programs
• Social gatherings, team outings, and volunteering programs
• Meditation and yoga classes
• Snap Inc. provides a 401(k) plan that allows you to save on a pre-tax, Roth, and after-tax basis for your retirement (yes, we even have the Mega backdoor option!) Snap will also match 100% up to 3% of your contribution and then 50% on your 4th and 5th%
• Flexible Spending Accounts for healthcare, daycare and commuter
• Health Savings Account with employer contributions
• Rocket Lawyer memberships
• Financial education programs
• Snap exclusive discounts and perks
• Compensation packages that let you share in Snap’s long-term success!- 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
• Ability to proactively learn new concepts and apply them at work
• Proven track record of operating highly-available systems at significant scale
• Strong programming skills in Python, Java
• 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
• Good understanding of distributed systems and the infrastructure components of large-scale ML
• Experience building large scale production machine learning systems, distributed systems or big data processing
• Experience with big data processing frameworks such as Spark, Flink, or Ray
• Strong problem-solving skills with a focus on system performance, scalability, and efficiency
• Ability to collaborate and work well with others
• Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks
• Experience working with ML Training platforms or optimizing AI model inference
• Masters/PhD in a technical field such as computer science or equivalent industry experience