Principal Machine Learning Engineer, Snap

ML Training Platform

$244-366k

+ RSUs

AWS
Docker
Kubernetes
Redis
Tensorflow
PyTorch
Expert level
Los Angeles
New York
San Francisco Bay Area

4+ 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

$244-366k

+ RSUs

AWS
Docker
Kubernetes
Redis
Tensorflow
PyTorch
Expert level
Los Angeles
New York
San Francisco Bay Area

4+ 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

  • Strong understanding of machine learning approaches and algorithms
  • Excellent programming and software design skills, including debugging, performance analysis, and test design
  • Proven track record of operating highly-available systems at scale
  • Ability to proactively learn new concepts and technology and apply them at work
  • Skilled at solving ambiguous problems
  • Strong collaboration and mentorship skills
  • BS in technical field such as computer science, mathematics, statistics or equivalent years of experience
  • 14+ years of industry machine learning experience
  • Experience with GPU/TPU training and optimizations

Desirable

  • Masters/PhD in a technical field such as computer science
  • Experience leading teams and driving technical roadmaps
  • Experience working with machine learning, recommendation and ranking systems, or vector similarity search
  • Experience with TensorFlow, PyTorch, or related deep learning frameworks
  • Experience with Docker, Kubernetes, Ray, NoSQL solutions, Memcache/Redis, Google/AWS services
  • Experienced in MLOps and managing production machine learning lifecycle

What the job involves

  • Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives
  • Build a next-generation training framework that can support large-scale model training, enabling us to push the limits of what's possible with machine learning
  • Perform training and model performance optimization with various GPUs to improve model training speed and efficiency
  • Develop an AutoML platform to accelerate model generation and automate the machine learning model lifecycle
  • Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services
  • Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
  • Provide technical direction that influences the entire company

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

Founders

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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