At a Glance
- Tasks: Design and implement ML models to enhance consumer app functionalities.
- Company: Join Snap Inc., a leader in innovative tech solutions.
- Benefits: Flexible hours, competitive salary, and visa support for the UK.
- Other info: Collaborative team environment with exciting growth opportunities.
- Why this job: Be at the forefront of AI technology and shape the future of consumer apps.
- Qualifications: Bachelor's in CS/Engineering, 2+ years in ML, strong Python skills.
The predicted salary is between 63000 - 77000 £ per year.
Snap Inc. is hiring a Machine Learning Engineer for the Consumer Gen AI Product Engineering team in London.
You will design and implement ML models to improve product functionalities and collaborate with product managers and engineers to integrate AI features.
Applicants should have a Bachelor's in CS/Engineering, at least 2 years in ML or data science, and strong Python with Tensor Flow/Py Torch.
Visa support is available for the UK. #J-18808-Ljbffr
ML Engineer, Gen AI for Consumer Apps — Flexible Hours in London employer: Snap Inc.
Snap Inc. is an exceptional employer that prioritises the health and safety of its employees while fostering a collaborative and innovative work culture. With a strong commitment to employee growth, you will have access to continuous learning opportunities and the chance to make a meaningful impact in the field of Environmental Health & Safety. Located in vibrant London and Abingdon, Snap Inc. offers a dynamic environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer, Gen AI for Consumer Apps — Flexible Hours in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Snap Inc.!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like ML Engineer, Gen AI for Consumer Apps — Flexible Hours at Snap Inc..
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Snap Inc..
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We think you need these skills to ace ML Engineer, Gen AI for Consumer Apps — Flexible Hours in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Snap Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Snap Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Snap Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Snap Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
