Machine Learning Engineer (Level 4)

SNAP, Inc.; Palo Alto (CA); Presencial; USD 180 000 - 240 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Parental leave

Medical coverage

401(k) plan

Gym perks

Well-being programs

Resumo da oferta

Snap Inc. seeks a machine learning engineer to build and deploy scalable ML models that power core Snapchat features. You will own the full lifecycle from data analysis to production deployment and partner with cross-functional teams to bring ML-driven features to life.

The role requires strong foundations in ML techniques, experience with TensorFlow or PyTorch, and a track record of shipping reliable and secure systems.

Qualificações

• BS/BE in CS or engineering with strong ML foundation.
• Experience building ML models for ranking, recommendations, search.
• Familiarity with modern AI tooling and production systems.
• PhD/MS preferred for advanced research roles.

Responsabilidades

• Build and deploy ML models powering Snapchat products.
• Own full ML lifecycle from data analysis to production deployment.
• Prototype and launch ML-driven features with cross-functional teams.
• Ensure code correctness, security, and production-ready quality.

Conhecimentos

Machine learning

Ranking systems

Recommendations

Search algorithms

Image generation

ML frameworks

Formação académica

Bachelor's degree in CS/Engineering

Advanced degree (MS/PhD)

Ferramentas

TensorFlow

PyTorch

Caffe2

Spark ML

scikit-learn

Descrição da oferta de emprego

• Build and deploy machine learning models that power core products, serving millions of Snapchatters
• Apply modern ML techniques to solve large-scale, real-world problems
• Own the full ML lifecycle from data analysis to production deployment
• Partner with cross-functional teams to prototype and launch ML-driven features
• Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code

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
• Lactation rooms (based on office location) and breastmilk shipping coverage
• 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
• 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
• 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
• Speaker series, classes, and subscriptions to educational programs
• Meditation and yoga classes
• 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!

Strong collaboration and mentorship skillsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersStrong understanding of machine learning approaches and algorithmsAdaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practicesProficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risksSkilled at solving open ambiguous problemsBachelor’s Degree in a relevant technical field such as computer science or equivalent years of practical work experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksAdvanced degree in computer science or related fieldExperience working with machine learning, ranking infrastructures, and system design