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Manager of Machine Learning Engineering (Web Ads Ranking
Job in
Palo Alto, Santa Clara County, California, 94306, USA
Listed on 2026-08-03
Listing for:
Socket.dev
Full Time
position Listed on 2026-08-03
Job specializations:
-
Software Development
Machine Learning/ ML Engineer
Job Description & How to Apply Below
- Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snap chatters 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 Web Ads Ranking team at Snap!
- Lead a team of machine learning engineers and software engineers to build large-scale indexing, retrieval, and ranking systems that deliver the most relevant Snapchat ads and drive revenue
- Collaborate with broad product teams in Snap to define the architecture and vision of the system, and grow the team beyond the initial scope
- Build the evaluation framework that enables rapid iteration and high-quality decision-making, working closely with Data Science and Product partners to define success metrics and measure outcomes
- Build and grow a high-performing team by raising the bar for engineering and ML excellence, developing talent, and helping shape Snap’s broader machine learning strategy
- Up to 28 weeks of parental leave and return-to-work program
- Adoption, surrogacy, infertility, and fertility preservation benefits
- Backup child care coverage, center-based care support, & caregiver assistance
- Dependent Daycare Flexible Spending Account
- For Snap, employees taking care of loved ones with complex, chronic, or ongoing care needs (i.e. parent with Dementia, spouse with Cancer, child with Autism), your family can save time, money, & stress with Wellthy
- Services to support your path to parenthood & beyond - fertility support & family planning via Carrot, SNOO, Hinge Health
- Short-term disability, long-term disability, basic life insurance, and AD&D insurance
- Lactation rooms (based on office location) and breast milk shipping coverage
- Comprehensive medical coverage, including PPO, HDHP with HSA, and HMO options
- Dental coverage, including orthodontia benefits
- Vision coverage, including frame and contact allowance and LASIK benefits
- Free membership to One Medical for primary and urgent healthcare services
- Business Travel Insurance
- Gym perks and discounts
- Team fitness classes and races
- Sports leagues
- Cooking and nutritional workshops
- Well-being reimbursement
- Unlimited access to virtual physical therapy with Anthem
- 15 sessions per year of mental health for you + dependents through Lyra
- Generous time off and leave programs. In the US, this includes the following:
- Up to 3 weeks (120 hours) of vacation time and 1 floating holiday for non-exempt team members
- 15 sick and safe days per year
- 12 paid holidays per year
- Social gatherings, team outings, and volunteering programs
- Meditation and yoga classes
- Speaker series, classes, and subscriptions to educational programs
- 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!) Snap will also match 100% up to 3% of your contribution and then 50% on your 4th and 5th%
- Flexible Spending Accounts for healthcare, daycare and commuter
- Health Savings Account with employer contributions
- Rocket Lawyer memberships
- Financial education programs
- Snap exclusive discounts and perks
- Compensation packages that let you share in Snap’s long-term success!
- Ability to effectively collaborate with stakeholders at all levels, both internally and externally - Proficiency in managing and solving ambiguous problems
- Experience on utilizing large language models for tasks like keyword extraction, description generation, and semantic relevance judging
- Excellent verbal and written communication skills, with meticulous attention to detail
- Strong management and mentorship skills, fostering a collaborative and innovative team culture
- Deep understanding of machine learning approaches, algorithms and their application to recommender, ads and search system
- 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 or recommendations
- Experience with real-time recommendation or search ranking systems
- Experience with building LLM based information retrieval or tagging system
- Experience working with large-scale machine learning frameworks such as Tensor Flow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
- Ability to proactively learn new concepts and apply them at work
- Experience working with machine learning, ranking infrastructures, and system designs
- Experience working with distributed systems
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