At a Glance
- Tasks: Create innovative ML products and AI Lenses for millions of Snapchatters daily.
- Company: Join Snap Inc, a leading tech company revolutionising communication through the camera.
- Benefits: Enjoy competitive pay, health coverage, and a supportive work environment.
- Why this job: Be at the forefront of GenAI technology and shape the future of augmented reality.
- Qualifications: Passion for machine learning and experience with deep learning frameworks like PyTorch or TensorFlow.
- Other info: Collaborative culture with opportunities for professional growth and development.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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 Engineer to join the Consumer Gen AI Product MLE team at Snap!
What you’ll do:
- Develop ML-products and AI Lenses that serve millions of Snapchatters on a daily basis, with a primary focus on image and video generation and editing, as well as LLMs.
- Build cutting-edge augmented reality experiences using generative and diffusion models.
- Work on state of the art GenAI pipelines for image and video generation.
- Integrate ML models and AI APIs into production, and refine them through A/B testing and user feedback.
- Evaluate open-source models and third-party AI APIs/services to inform build-vs-buy decisions to leverage the best available tools (or iterate on them) to keep Snap’s products at the cutting edge.
Knowledge, Skills & Abilities:
- A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly.
- Knowledge of mathematics and deep learning foundations.
- Strong verbal and written communication skills, with meticulous attention to detail.
- Desire to solve open ambiguous problems.
- Desire to grow professionally, learn and help others.
- Ability to effectively collaborate with internal teams and external partners.
- Ability to work independently.
Minimum Qualifications:
- Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience.
- Research or engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of machine learning.
- Experience with the major deep learning frameworks: PyTorch or TensorFlow.
- Strong track record of software development in Python or C.
Preferred Qualifications:
- Master’s degree or PhD in a related technical field.
- Experience developing real-time software for mobile applications.
- Knowledge of computer graphics foundations.
- Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.
- Experience with visual Gen AI models for Image and Video generation and Editing.
- Experience with evaluating the visual quality of Image and Video models.
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!
Machine Learning Engineer, Gen AI employer: Snap Inc.
Contact Detail:
Snap Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer, Gen AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Snap employees on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and generative AI. Share it during interviews or even on your LinkedIn profile to catch their eye.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common algorithms and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Snap community.
We think you need these skills to ace Machine Learning Engineer, Gen AI
Some tips for your application 🫡
Show Your Passion: Let your enthusiasm for machine learning shine through in your application. We want to see that you're not just ticking boxes but genuinely excited about the field and eager to prototype new ideas.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight relevant experience, especially in generative models and deep learning frameworks like PyTorch or TensorFlow. We love seeing how your skills align with what we do!
Be Clear and Concise: When writing your application, keep it clear and to the point. Strong verbal and written communication skills are key, so make sure your application reflects that attention to detail we value.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Snap Inc.
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals, especially around generative models and deep learning frameworks like PyTorch or TensorFlow. Be ready to discuss your past projects and how they relate to the role at Snap.
✨Showcase Your Passion
Snap is looking for someone who’s genuinely excited about machine learning. Bring examples of your work, whether it’s open-source projects or Kaggle competitions, to demonstrate your enthusiasm and commitment to the field.
✨Communicate Clearly
Strong verbal and written communication skills are key. Practice explaining complex concepts in simple terms, as you’ll need to collaborate with various teams. Being able to articulate your ideas clearly can set you apart from other candidates.
✨Embrace Ambiguity
The role involves solving open-ended problems, so be prepared to discuss how you approach ambiguity. Share examples of how you've tackled unclear challenges in the past and what strategies you used to find solutions.