Staff Software Engineer, Snap
ML Infrastructure
$229-343k
+ Eligible for equity in the form of RSUs
4+ days a week in office (Palo Alto, CA or Santa Monica, CA)
Social media & camera company
Be an early applicant
Social media & camera company
1001+ employees
Be an early applicant
$229-343k
+ Eligible for equity in the form of RSUs
4+ days a week in office (Palo Alto, CA or Santa Monica, CA)
1001+ employees
Company mission
To empower people to express themselves, live in the moment, learn about the world, and have fun together.
Role
Who you are
- Strong understanding of modern machine learning architectures and the ability to optimize performance, especially for inference tasks
- Drive ownership of projects from start to finish, actively seek out any missing knowledge to successfully complete the work
- Bring experience in designing, building, monitoring, and troubleshooting production-level distributed systems. Preferred if you've worked on systems where performance and scale is critical
- Strong programming skills in C++, Go, or Java
- Familiarity with cloud technologies like Docker, K8 etc
- Bachelor’s degree in a technical field such as computer science or equivalent experience
- 9+ 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
Desirable
- Masters/PhD in a technical field such as computer science or equivalent industry experience
- Strong and proficient experience in TensorFlow, PyTorch and the Inference related software stacks such as Tensor RT, NVIDIA Triton, TensorFlow Serving, VLLM, etc
- Experience working with ML Inference and Training
- Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks
What the job involves
- You’ll play a critical role in scaling our 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 Staff Software Engineer, ML Inference 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
- Develop high-performance inference systems to ensure fast and efficient model serving
- Work closely with ML engineers to deploy cutting-edge models into production
Our take
Snap is the social media giant that owns Snapchat, a social media mobile app released in 2011. Created to serve as a more emotive communication form than texting, the app has gained mass popularity, reaching upwards of 400 million daily users worldwide.
After rejecting a billion dollar acquisition from Meta (then Facebook) in 2013, Snap has found itself in competition with the social media giant, particularly with Instagram. Despite this, the company has marked a place for itself in the ever competitive social media space through developing features like a Discover tab, augmented reality lenses, in-app games, ads and monetisation options, as well as launching its paid service, Snapchat+.
Snap has so far not earned an annual profit since going public in 2017, but as Snapchat's user base has continually increased it has nearly closed the gap. Like other tech companies it suffered in late 2022 due to a surprise drop in advertising revenue, but has been rebuilding to its former trajectory since then. Given Snapchat's lasting popularity amongst young people, further success appears likely.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-9% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
May 2016
$1.8bn
SERIES F
Mar 2015
$200m
SERIES E
Total funding: $2.6bn
Company benefits
- Paid maternity, paternity and family caregiver leave
- Adoption, surrogacy, infertility and fertility preservation benefits
- Backup child care coverage, caregiver assistance and digital maternity care support
- Short-term disability, long-term disability, life insurance and AD&D insurance
- Comprehensive medical coverage, including PPO, HSA and HMO options
- Dental coverage, including orthodontia benefits
- Vision coverage, including LASIK benefits
- Gym perks and discounts
- Team fitness classes, hikes and races
- Sports leagues
- Cooking and nutritional workshops
- Generous time off and leave programmes
- Meditation and yoga classes
- Emotional and mental health support programmes and apps
- Social gatherings, team outings and volunteering programmes
- Speaker series, classes and subscriptions to educational programmes
- 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!)
- Rocket Lawyer memberships
- Financial education programmes
- Compensation packages that let you share in Snap's long-term success!
- Have a teammate going through a tough time? Lend them a hand through our internal Snap-a-wish programme! We'll work hard to make sure they get the support they need.
Company HQ
Sunset Park, Santa Monica, CA
Leadership
Evan Spiegel
(CEO)Graduated from Standford with a BS in Product Design.
Bobby Murphy
(CTO)Studied Mathematical and Computational Science at Stanford.
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