Machine Learning Engineer (Causal Inference Job Santa Monica area,California USA,Software Development

Position: Machine Learning Engineer (Causal Inference)

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
Design and build models that quantify causal impact, optimize decision-making, and drive value for users, advertisers, and the business
Develop and product ionize causal machine learning solutions (e.g., uplift modeling, heterogeneous treatment effect estimation) using observational and experimental data
Design, analyze, and interpret A/B tests and quasi-experiments; collaborate closely with product and engineering partners to shape experimentation strategies
Evaluate technical tradeoffs between model complexity, bias/variance, scalability, and interpretability
Conduct code reviews, maintain high engineering standards, and build scalable, maintainable infrastructure
Contribute to rapid iteration cycles while ensuring methodological rigor

Benefits

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!
- Skilled at solving open-ended problems with a mix of statistical thinking and engineering pragmatism
Proficient in Python and common data/machine learning libraries (e.g., pandas, Num Py, scikit-learn, CausalM etc.)
Strong understanding of causal inference and modern approaches to estimating treatment effects (e.g., meta learners, propensity score matching, instrumental variables)
Experience with applied data science, including A/B testing, uplift modeling, and experimentation infrastructure
Comfortable working independently and collaborating across cross-functional teams
Strong communication and mentorship skills; able to translate technical insights for non-technical partners
Experience designing and analyzing online experiments (A/B tests) and leveraging causal ML in production systems
Demonstrated experience building models to support product…