Principal Machine Learning Engineer, Snap

• Deep understanding of generative models and a proven track record of successfully applying them to products to deliver impactful solutions
• Strong comprehension of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search
• Experience providing direction and guidance to a team that focuses on Generative AI and machine learning technologies
• Ability to design, train, and optimize advanced machine learning models
• Excellent programming and software design skills
• Ability to proactively learn new concepts and technology and apply them at work
• Skilled at solving ambiguous problems and leading and executing complex technical initiatives
• Strong collaboration and mentorship skills
• Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience
• 9+ years of industry machine learning experience
• 2+ years of experience as a technical lead
• Experience developing and shipping performant and scalable machine learning models for Generative AI use cases
• Experience with TensorFlow, PyTorch, or related deep learning frameworks

Desirable

• Spearhead the development and implementation of innovative Generative AI technologies and their applications, with a focus on revolutionizing the advertising experience on the Snap platform
• Envision and execute a strategic roadmap to elevate and evolve our advertising products through the integration and application of state-of-the-art Generative AI techniques
• Utilize cutting-edge multimodal image and video generation models to pioneer a wide range of generative AI applications across the Ads ecosystem including:
• Automating the creation and enhancement of advertiser creatives and assets leading to high-performing
• Personalized ad creatives that resonate with target audiences
• Leverage specialized models to construct innovative AR lenses
• Generative recommendations
• Enhance user and ads understanding to gain deeper insights that can power and optimize our advertising products, ensuring maximum effectiveness and relevance
• Collaborate with cross-functional teams & leadership to set and align on machine learning strategies to meet company objectives, up-level the ML tech stack, and improve the performance of the organization
• Keep up-to-date of emerging trends and advancements in the Generative AI landscape and proactively identify opportunities to leverage these developments to further enhance Snap's advertising capabilities
• Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management

• 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.

Total funding: $2.6bn

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.