Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

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 Consumer Gen AI Product Engineering at Snap!

What you’ll do:

• Lead an applied team of Machine Learning Engineers to build and enhance Snap’s consumer-facing Gen AI products and AI Lenses, with a primary focus on image and video generation and editing, as well as LLMs

• Extensively collaborate with Product, Software Engineering, Lens Content, Data Science teams, and executive stakeholders to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedback

• Actively monitor the market and research landscape for new developments in Gen AI, evaluate open-source models and third-party AI APIs/services, and make build-vs-buy decisions to leverage the best available tools (or iterate on them) to keep Snap’s products at the cutting edge

• Oversee the end-to-end ML lifecycle from product research and ML prototyping to training, deployment, and ongoing inference in production, ensure best practices in availability, scalability, cost-efficiency and operational excellence

• Facilitate technical planning, code reviews, and ensure high-quality code and operational standards across projects

• Evaluate the technical tradeoffs of major decisions and be a strong technical mentor

• Manage and mentor a team of engineers, in a fast-paced, quick-to-market environment

• Hire, grow and retain high-performing team members

Knowledge, Skills & Abilities:

• Track record of delivery ML-based backend products at scale in rapidly changing, highly collaborative, multi-stakeholder environments

• Track of record of extensive collaboration with Product, Design and Data science functions to build consumer-facing ML-based products

• Solid understanding of machine learning approaches and algorithms, especially generative models (e.g. GANs, diffusion models, transformers/LLMs), and a proven track record of applying them to deliver impactful product solutions

• Able to stay up-to-date with research and are excited about prototyping new ideas quickly

• Strong management and mentorship skills, fostering a collaborative and innovative team culture via positive leadership

• Excellent verbal and written communication skills, with meticulous attention to detail

• Ability to effectively collaborate with stakeholders at all levels, both internally and externally

• Ability leading and executing large, complex technical initiatives

Minimum Qualifications:

• Strong background in Machine Learning

• Experience supporting applied machine learning teams that work closely with Product

• Experience leading machine learning teams teams that focus on Gen AI

• Proven track record of supporting technical teams

• Strong problem solving skills and background in machine learning

• Master’s / PhD degree in Computer Science (In lieu of degree, relevant work experience)

• History of involvement in product roadmapping and decision making

Preferred Qualifications:

• Experience with visual Gen AI models for Image and Video generation and Editing

• Experience with evaluating the visual quality of Image and video models

• Proven track of closely collaborating with Product, Design and Software Engineering teams for launching consumer-facing Gen AI or ML-powered products

• Experience working with large-scale machine learning frameworks such as Tensor Flow, Caffe2, Py Torch, Spark ML, scikit-learn, or related frameworks

• Experience working with machine learning, ranking infrastructures, and system designs

• Ability to proactively learn new concepts and apply them at work

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!