Staff Software Engineer, Snap

$222-333k

+ Equity in the form of RSUs

Java
Kafka
Spark
Flink
BigQuery
Golang
Expert level
Los Angeles
San Francisco Bay Area

4-5 days a week in office

Snap

Social media & camera company

Open for applications

Snap

Social media & camera company

1001+ employees

B2CAugmented RealitySocialSocial MediaMobile

Open for applications

$222-333k

+ Equity in the form of RSUs

Java
Kafka
Spark
Flink
BigQuery
Golang
Expert level
Los Angeles
San Francisco Bay Area

4-5 days a week in office

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.

Role

Who you are

  • We are looking for an Engineer Lead who has deep knowledge about ML data processing pipelines and is excited to contribute in the Machine Learning Infra domain
  • Deep knowledge about data processing pipelines
  • Proven track record of operating highly-available systems at significant scale
  • Experience in at least one of the following areas:
  • Big data systems (Spark/Flink)
  • ML Infra systems (Inference/Training/Feature)
  • BS/BA degree in a technical field such as Computer Science or equivalent years of experience
  • 11+ years of software development experience
  • Experience with Java, Golang
  • Experience working with distributed ML applications in production

Desirable

  • Deep knowledge in ML development lifecycles
  • Expertise in Spark or Flink, BigQuery, Iceberg and Kafka

What the job involves

  • Snap ML Feature Generation Team is responsible for building the declarative ML Feature Generation platform at Snap
  • The platform allows users to declare new feature specs, register them into Feature Registry, read data from different data sources by processing 10+ trillion events daily, generate final feature values and vend them for online model inference and offline model training
  • We are solving two current major pain points from our MLE community: 1) accelerate feature onboarding velocity 2) improve feature generation freshness. For future focused areas, the team is designing new capabilities like Embedding Generation that unlocks universal user understanding strategies across Snap
  • We're looking for a Staff Software Engineer to join the ML Feature Generation Team at Snap Inc!
  • The engineer will drive technical direction for the team to solve the top challenges described above
  • We also expect the staff engineer to coach the rest of team members technically to work together on building new ML feature platform capabilities and improve system efficiency
  • Drive technical direction for the team to accelerate ML iteration speed
  • Identify opportunities by leveraging deep knowledge in big data & ML Infra systems to improve system performance and efficiency
  • Coach the rest of team members and grow them technically

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 headshot

Kirsty

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

-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 values

  • We Are Kind - We solve problems through action, make high-quality decisions and think with a strategic mindset
  • We Are Smart - We solve problems through action, make high-quality decisions and think with a strategic mindset
  • We Are Creative - We gracefully manage ambiguity, cultivate innovation and demonstrate an insatiable desire to learn

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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