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Urgent! Machine Learning Engineer Position in Brasil - Snapchat
Overview 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.
What you’ll do Develop ML-tools and ML-products that serve millions of Snapchatters on a daily basis Build cutting-edge augmented reality experiences with diffusion/flow matching models and GANs Deliver GenAI experiences for the edge devices Work on state of the art GenAI pipelines for image and video generation Work closely with other Snap teams to introduce, prototype and launch new products 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 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 3 years of 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 deep learning Experience with the major deep learning frameworks: PyTorch or TensorFlow Strong programming skills in Python or C++ Preferred Qualifications Track record of successful projects in GenAI & LLM 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.
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! J-18808-Ljbffr
✨ Smart • Intelligent • Private • Secure
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Brasil, Brazil (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Brasil, Brazil using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 375 jobs in Brazil and 245 jobs in Brasil. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Snapchat is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer Jobs Brasil.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Snapchat adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Jobs Brazil varies, but the pay scale is rated "Standard" in Brasil. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer interview at Snapchat, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Snapchat's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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