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- Tasks: Develop 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 paid parental leave, comprehensive medical coverage, and mental health support.
- Why this job: Be at the forefront of Gen AI, creating cutting-edge augmented reality experiences.
- Qualifications: Strong background in machine learning and programming skills in Python or C++.
- Other info: Collaborative environment with diverse teams and excellent career growth opportunities.
The predicted salary is between 48000 - 84000 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. Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world. We are deeply committed to the wellâbeing 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 are looking for a Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!
What you will do:
- Develop MLâproducts 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 cuttingâedge augmented reality experiences with diffusion/flow matching models and GANs.
- Work on stateâofâtheâart GenAI pipelines for image and video generation.
- Extensively collaborate with Product, Software Engineering, Lens Content and Data Science teams 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 openâsource models and thirdâparty AI APIs/services to inform buildâvsâbuy decisions to leverage the best available tools (or iterate on them) to keep Snap's products at the cutting edge.
- Evaluate openâsource Gen AI models and APIs.
Knowledge, Skills & Abilities:
- A proven passion for machine learning; you stay upâtoâdate with research and are excited about prototyping new ideas quickly.
- Knowledge of mathematics and deep learning foundations.
- Excellent verbal and written communication skills, with meticulous attention to detail.
- Ability to work independently.
- Ability to lead and execute large, complex technical initiatives.
Minimum Qualifications:
- Strong background in Machine Learning.
- Experience supporting applied machine learning teams that work closely with Product.
- Strong programming skills in Python or C++.
- Bachelor's Degree in a technical field such as computer science, mathematics, statistics or equivalent years of engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning.
- Track record of delivering MLâbased backend products at scale in rapidly changing, highly collaborative, multiâstakeholder environments.
- Track record of collaboration with Product, Design and Data science functions to build consumerâfacing MLâbased products.
- History of involvement in product roadmapping.
Preferred Qualifications:
- Knowledge of computer graphics foundations.
- Experience with visual Gen AI models for Image and Video generation and Editing.
- Experience with evaluating the visual quality of Image and Video models.
- Track record of successful projects in the GenAI field.
- Proven track record of closely collaborating with Product, Design and Software Engineering teams for launching consumerâfacing Gen AI or MLâpowered products.
- Ability to proactively learn new concepts and apply them at work.
If you have a disability or special need that requires accommodation, please provide us some information.
Our Benefits: We offer paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's longâterm success!
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.
Senior Machine Learning Engineer, Gen AI in London employer: Snap Inc.
Contact Detail:
Snap Inc. Recruiting Team
StudySmarter Expert Advice đ€«
We think this is how you could land Senior Machine Learning Engineer, Gen AI in London
âšTip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Snap. A friendly chat can open doors that applications alone can't.
âšTip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to Gen AI. This gives you a chance to demonstrate your expertise beyond just a CV.
âšTip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts simply, as communication is key in collaborative environments.
âšTip Number 4
Don't forget to apply through our website! Itâs 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 Senior Machine Learning Engineer, Gen AI in London
Some tips for your application đ«Ą
Show Your Passion for Machine Learning: Let us see your enthusiasm for machine learning shine through in your application! Share any personal projects or research you've done that showcases your skills and excitement for the field.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Gen AI and machine learning. We want to see how your background aligns with what we're looking for, so donât hold back!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon unless it's relevant. We appreciate attention to detail, so proofread your work before hitting send!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, itâs super easy!
How to prepare for a job interview at Snap Inc.
âšKnow Your ML Stuff
Brush up on your machine learning fundamentals, especially around generative models and deep learning. Be ready to discuss your past projects and how they relate to the role at Snap. Theyâll want to see your passion for the field, so donât hold back!
âšShowcase Collaboration Skills
Snap values teamwork, so prepare examples of how you've worked with product, design, and data science teams in the past. Highlight any successful projects where you collaborated closely to deliver ML-based products. This will show you can thrive in their multi-stakeholder environment.
âšStay Current with Gen AI Trends
Research the latest developments in generative AI and be ready to discuss them. Mention any open-source models or APIs youâve evaluated and how they could benefit Snapâs products. This shows youâre proactive and engaged with the industry.
âšCommunicate Clearly
Since excellent communication is key, practice explaining complex technical concepts in simple terms. Be prepared to articulate your thought process during problem-solving scenarios. This will demonstrate your attention to detail and ability to convey ideas effectively.
