Software Engineer (ML Infrastructure)

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 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 Services to support your path to parenthood & beyond - fertility support & family planning via Carrot, SNOO, Hinge Health Lactation rooms (based on office location) and breastmilk shipping coverage Short-term disability, long-term disability, basic life insurance, and AD&D insurance 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 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 12 paid holidays per year 15 sick and safe days per year Social gatherings, team outings, and volunteering programs Speaker series, classes, and subscriptions to educational 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! Ability to collaborate and work well with others Good understanding of distributed systems and the infrastructure components of large-scale ML Strong programming skills in Python, Java, Scala or C++ Ability to proactively learn new concepts and apply them at work Proven track record of operating highly-available systems at significant scale Strong problem-solving skills with a focus on system performance, scalability, and efficiency Experience with big data processing frameworks such as Spark, Flink, or Ray 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+ year 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 TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks #J-18808-Ljbffr Snap