At a Glance
- Tasks: Create innovative ML products and AI Lenses for millions of Snapchat users daily.
- Company: Join Snap Inc, a leading tech company revolutionising communication through the camera.
- Benefits: Enjoy competitive pay, health coverage, parental leave, and mental health support.
- Why this job: Be at the forefront of Gen AI, shaping the future of augmented reality experiences.
- Qualifications: Bachelor's in a technical field; experience with machine learning and deep learning frameworks.
- Other info: Collaborative culture with strong career growth opportunities and a commitment to diversity.
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.
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to current or former Snap employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to image and video generation. This will help you stand out and demonstrate your passion for the field.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning frameworks like PyTorch or TensorFlow. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Snap team.
We think you need these skills to ace Machine Learning Engineer, Gen AI in London
Some tips for your application 🫡
Show Your Passion for Machine Learning: Let us see your enthusiasm for machine learning in your application! Share any projects, research, or experiences that highlight your love for the field. We want to know what excites you about developing ML products and how you stay updated with the latest trends.
Tailor Your Application: Make sure to customise your CV and cover letter for the Machine Learning Engineer role. Highlight relevant skills and experiences that align with our job description. This shows us that you’ve done your homework and are genuinely interested in joining our team!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate well-structured applications that get straight to the point, so make it easy for us to see why you’re a great fit.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
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.
✨Show Your Passion
Snap is looking for someone who’s genuinely excited about machine learning. Share your enthusiasm for the latest research and any personal projects you've worked on. This will help you stand out as a candidate who’s not just qualified but also truly invested in the field.
✨Prepare for Technical Questions
Expect some technical questions that may involve problem-solving on the spot. Practice explaining complex concepts clearly and concisely, as strong communication skills are key. You might even want to run through some mock interviews with a friend or mentor.
✨Cultural Fit Matters
Snap values collaboration and diversity, so be prepared to discuss how you work with others and contribute to a team environment. Think of examples where you’ve successfully collaborated on projects or helped others grow, as this aligns with their company culture.