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 operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services. We're looking for a Machine Learning Engineer (L3) to join Snap! What you’ll do: Develop, deploy, and improve machine learning models and systems that power products and experiences used by millions of Snapchatters. Design, implement, and evaluate ML solutions across areas such as computer vision, deep learning, recommendation systems, ranking, generative AI, and other applied machine learning domains. Build scalable and efficient ML pipelines for data processing, model training, evaluation, and inference. Translate research ideas and product requirements into practical ML solutions, delivering well-scoped features and improvements with guidance from senior engineers. Collaborate with Software Engineering, Product, Data Science, and other cross-functional teams to integrate ML models into production systems. Conduct experiments, analyse model performance, and iterate on solutions using offline evaluations, A/B testing, and user feedback. Stay up-to-date with advancements in machine learning research, frameworks, and tools, and explore opportunities to apply relevant techniques to Snap's products. Knowledge, Skills & Abilities: Strong understanding of machine learning principles, algorithms, and deep learning foundations. Solid knowledge of mathematics, including linear algebra, probability, statistics, and optimisation. Strong problem-solving skills and the ability to translate technical challenges into practical solutions. Excellent verbal and written communication skills, with attention to detail. Ability to work independently on well-defined technical problems and seek guidance when needed. Ability to contribute to larger technical initiatives by owning well-scoped features, models, or components. Passion for machine learning, continuous learning, and building impactful products. Minimum Qualifications: Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical field, or equivalent practical experience. Strong programming skills in Python or C++. Strong foundations in machine learning, demonstrated through hands-on projects, research, internships, or professional experience. Experience with machine learning frameworks and libraries such as PyTorch, TensorFlow, or equivalent tools. At least 3 years of machine learning experience after completing a bachelor's degree, or a master's degree in a relevant technical field. Preferred Qualifications: Experience developing, training, evaluating, or deploying machine learning models in real-world applications. Familiarity with one or more applied ML domains, such as computer vision, natural language processing, recommendation systems, ranking, generative AI, or multimodal learning. Experience with deep learning architectures and modern ML techniques. Familiarity with ML infrastructure, data pipelines, model optimization, or production inference systems. Experience with model evaluation, experimentation, and performance analysis. Hands-on experience with ML projects, research, open-source contributions, or production ML systems. Ability to proactively learn new concepts, adapt to emerging technologies, and apply them to practical problems. 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! Curious what it's like to work at Snap? Meet the people behind our products and discover how our values shape the way we create, innovate, and connect. SPECS: See how Snap is bringing computing into the world around us with SPECS, our next-generation augmented reality glasses built for real life. Snap News: Explore the latest stories about our products, innovation, and the people shaping what's next at Snap. Applicant and Candidate Privacy Policy

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