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- Tasks: Design and optimise ML infrastructure systems for Snapchat, enhancing AI training and recommendations.
- Company: Join Snap Inc., a tech company revolutionising communication through innovative visual products.
- Benefits: Enjoy flexible work options, comprehensive health coverage, and paid parental leave.
- Why this job: Be part of a dynamic team driving impactful innovations in AI and machine learning.
- Qualifications: Bachelor's degree in a technical field; experience in software development and ML systems required.
- Other info: Snap promotes a diverse workplace and values collaboration with a 'default together' policy.
The predicted salary is between 48000 - 72000 £ 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.
You\’ll play a critical role in scaling our ML Infrastructure, optimizing AI training and inference systems, and driving innovations that make Snapchat\’s ranking and recommendation systems more efficient and impactful.
We\’re looking for a Software Engineer, ML Infrastructure to join Snap Inc!
What you\’ll do:
Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat\’s ML Infrastructure
Build and enhance feature generation pipelines that power real‐time and batch ML models for content ranking and recommendations
Develop high‐performance inference systems to ensure fast and efficient AI model serving
Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud
Develop high‐performance inference systems to ensure fast and efficient AI model serving
Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
Work closely with ML engineers to deploy cutting‐edge models into production
Knowledge, Skills & Abilities:
Strong programming skills in Python, Java, Scala or C++
Strong problem‐solving skills with a focus on system performance, scalability, and efficiency
Good understanding of distributed systems and the infrastructure components of large‐scale ML
Experience with big data processing frameworks such as Spark, Flink, or Ray
Ability to collaborate and work well with others
Proven track record of operating highly‐available systems at significant scale
Ability to proactively learn new concepts and apply them at work
Minimum Qualifications:
Bachelor\’s degree in a technical field such as computer science or equivalent experience
Post‐Bachelor\’s software development experience; or Master\’s degree in a technical field + post‐grad software development experience; or PhD in a relevant technical field
Experience building large scale production machine learning systems, distributed systems or big data processing
Preferred Qualifications:
Masters/PhD in a technical field such as computer science or equivalent industry experience
Experience working with ML Training platforms or optimizing AI model inference
Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit‐learn, or related frameworks
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!
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Software Engineer, ML Infrastructure employer: Snap Inc.
Contact Detail:
Snap Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, ML Infrastructure
✨Tip Number 1
Familiarise yourself with Snap's core products and their impact on users. Understanding how the camera technology enhances communication will help you align your skills with their mission, making you a more appealing candidate.
✨Tip Number 2
Showcase your experience with big data processing frameworks like Spark or Flink in your discussions. Being able to speak confidently about your hands-on experience with these tools can set you apart during interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've optimised machine learning systems. Highlighting your problem-solving skills and ability to enhance system performance will resonate well with the team at Snap.
✨Tip Number 4
Emphasise your collaborative skills and experiences. Since Snap values teamwork, sharing examples of successful collaborations can demonstrate that you're a good fit for their culture.
We think you need these skills to ace Software Engineer, ML Infrastructure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly with machine learning infrastructure. Emphasise your programming skills in Python, Java, Scala, or C++, and any experience with big data processing frameworks like Spark or Flink.
Craft a Strong Cover Letter: In your cover letter, express your passion for technology and how it can improve communication. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work on large-scale ML systems.
Showcase Relevant Projects: Include a section in your application that showcases any relevant projects you've worked on, especially those involving machine learning, distributed systems, or AI model optimisation. This will help illustrate your hands-on experience.
Highlight Collaboration Skills: Since the role involves working closely with ML engineers, make sure to highlight your teamwork and collaboration skills. Provide examples of how you've successfully worked in teams to achieve project goals.
How to prepare for a job interview at Snap Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python, Java, Scala, or C++. Bring examples of past projects where you optimised ML infrastructure or built scalable systems. This will demonstrate your hands-on experience and technical prowess.
✨Understand the Company’s Products
Familiarise yourself with Snap's core products and how they leverage machine learning. Understanding their visual messaging app and AR platform will help you align your answers with their mission and show your genuine interest in the company.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to system performance and scalability. Practice articulating your thought process clearly, as this will showcase your analytical skills and ability to tackle complex challenges.
✨Emphasise Collaboration Skills
Since the role involves working closely with ML engineers, highlight your teamwork experiences. Share examples of successful collaborations and how you contributed to achieving common goals, which will demonstrate your ability to work well in a team-oriented environment.
