Manager of Machine Learning Engineering, Snap
Content Ranking
$229-343k
+ RSUs
4+ days a week in office (Palo Alto, CA)
Social media & camera company
Be an early applicant
Social media & camera company
1001+ employees
Be an early applicant
$229-343k
+ RSUs
4+ days a week in office (Palo Alto, 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
- Deep understanding of machine learning approaches, algorithms and their application to recommender system
- Experience setting the direction for teams focused on developing online ranking and recommendation models
- Strong management and mentorship skills, fostering a collaborative and innovative team culture
- Excellent verbal and written communication skills, with meticulous attention to detail
- Ability to effectively collaborate with stakeholders at all levels, both internally and externally
- Proficiency in managing and solving ambiguous problems
- Bachelor’s in a related technical field such as computer science or equivalent years of experience
- 8+ years of post-Bachelor’s ML industry experience; or a Master’s degree in a technical field + 7+ year of post-grad ML experience; or a PhD in a related technical field + 4+ years of post-grad ML experience
- 1+ year(s) of experience leading machine learning teams teams that focus on ranking and/or recommendations
Desirable
- Experience with real-time recommendation systems
- Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
- Experience working with distributed systems
- Experience working with machine learning, ranking infrastructures, and system designs
- Ability to proactively learn new concepts and apply them at work
What the job involves
- Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day
- We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do
- We move fast, with precision, and always execute with privacy at the forefront
- We're looking for a Machine Learning Engineering Manager to join the Content Ranking team at Snap!
- Lead a team of machine learning engineers and software engineers in developing and optimizing our personalized video recommendation engine
- Define the overall architecture of the content recommender system, ensuring scalability, performance, and reliability
- Drive rapid iteration without compromising quality: work closely with infrastructure engineers to build robust machine learning infrastructure to support the recommender system
- Evaluate the technical tradeoffs in key decision-making processes to ensure optimal outcomes: conduct A/B testing and analyze performance metrics to continuously improve the recommender system
- Perform design and code reviews to raise technical excellence bar
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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