Hiring.Camp

Intern, Machine Learning

Warnerbros

·

Yesterday

Location
Bangalore - Embassy Tech Village, India
Workplace
Hybrid
Type
Internship
Department
IT
Seniority
Internship
Education
Bachelor
Closing date
Today
Source
Workday

Description

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

About the organization:

Warner Bros. Discovery’s global technology organization sits at the intersection of tech, entertainment, and everyday utility. Our platform covers everything from search, catalog, and video transcoding, to personalization, global subscriptions, and more. As a pure tech organization, we are essential to Warner Bros. Discovery’s continued growth, building world- class products on our streaming platforms Max and discovery+.

Why Join the Warner Bros. Discovery Team?

Delivering one of the largest and most iconic content libraries in streaming to millions of consumers around the globe is no easy feat. It requires high levels of collaboration, a willingness to take risks, and a passion to tackle some of the most complex technical challenges. That’s why at Warner Bros. Discovery, we cultivate an environment for our employees to thrive, whether it’s building all of our tech from scratch to continuously innovate, working at the exciting pace of a startup, or utilizing our flexible working hours to enhance collaboration with teams across the world. We think big and we hire people who do the same: technologists who love owning a problem and creating their own elegant solutions, and those who are willing to try, fail, learn, and try again because that’s how we truly build the future. In terms of languages, we speak a little bit of everything - Swift 5/Swift UI, Kotlin, Java, TypeScript, Javascript, Ruby, Vue.js, React, Brightscript, GraphQL on AWS container-based and serverless stacks.We try to expose early career engineers to a wide range of projects, to help them get a sense for where their interests lie. We then pair them with a range of senior engineers so that they can learn from a mix of experiences. Attributes we look for in all our hires across the team are ownership and leadership, proactively taking ownership, having a bias for action, curious and always asking why.

Why Intern at Warner Bros. Discovery: In addition to building great products and creating some of the best content in the world, we’ve built a great team and culture! Our program offers unique experiences, with tremendous opportunities for growth. We value and are committed to the work we do. Our engineers are some of the most talented in the industry and are excited to mentor and learn from our interns. You’ll have the opportunity to help deliver customer facing, impactful projects and test your theories on the newest technologies and methodologies, while learning from the seasoned pros.

6 months - Machine Learning Intern Program

We’re looking for exceptional students pursuing Bachelors Degree in Machine Learning/Data Science to join our intern program.

 Role Requirements

• Proficiency in operating machine learning solutions at scale, covering the end-to-end ML workflow

• good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark, ...)

• Proficiency in programming languages such as Python or Scala

• Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...)

• Experience with at least one of Deep Learning, LLMs, Reinforcement Learning, Causal Inference

• Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring)

• Understanding of batch and streaming data processing techniques

• Knowledge of AWS or similar cloud platforms

Our Ideal Candidate

You are a team player who strives for excellence •

You are comfortable working both independently and collaboratively

Your problem-solving skills and technical aptitudes allow you to adapt to new

You are comfortable to work with a wide range of software, circumstances & learn quickly including development tools, build systems

You have a keen interest in software technologies

Additional responsibilities include but are not limited to the following:

• Ability to quickly learn new technologies in a dynamic environment

• Strong Analytical and problem-solving skills

• Accurately assess critical factors for success and mitigate risk on deliverables • Articulate ideas & thoughts clearly & easily

• Proactively share technical knowledge and best practices with team members • Possess excellent written & verbal skills

• Interact well with team leaders, peers, junior staff and other managers at various positions

Questions for us? Please contact [email protected] with any questions. We can’t wait to hear from you!

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Skills

PythonJavaScriptTypeScriptJavaRubySwiftKotlinScalaReactVue.jsAWSMachine LearningDeep LearningTensorFlowPyTorchScikit-learnSparkData ScienceGraphQL

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