Software Engineer, Snap

ML Infrastructure

$209-313k

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

Python

Scala

Java

Tensorflow

C++

Spark

Scikit-Learn

PyTorch

Flink

Junior, Mid, Senior and Expert level

Los Angeles

San Francisco Bay Area

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

B2CAugmented RealitySocialSocial MediaMobile

Be an early applicant

$209-313k

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

Python

Scala

Java

Tensorflow

C++

Spark

Scikit-Learn

PyTorch

Flink

Junior, Mid, Senior and Expert level

Los Angeles

San Francisco Bay Area

4+ days a week in office (Palo Alto, CA or Santa Monica, CA)

1001+ employees

B2CAugmented RealitySocialSocial MediaMobile

Company mission

To empower people to express themselves, live in the moment, learn about the world, and have fun together.

Job

Company

Role

Who you are

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+ 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
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

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
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 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

Top investors

-9% employee growth in 12 months

Glassdoor (3.7)

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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