Staff Machine Learning Engineer
San Jose
hace 6 días

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone from emerging artists to global brands everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Our company

At Adobe, we build digital experiences that change the world. How? We help people bring ideas to life by crafting content that makes life more fun and work more impactful.

We give businesses and organizations the power to truly engage their customers. We're the ones behind the gorgeously crafted content that streams across your laptop, TV, phone, and tablet every day and the ones who harness the substantial power of big data to help companies find and reach the people who have an appetite for that content.

We do it with energy, passion, and curiosity, and we're backed by our rich heritage and culture of innovation. We're looking for exceptional talent to join us.

The challenge

Adobe is looking for a Staff Machine Learning Engineer who will be exciting problems in building the next generation of marketing cloud products by using machine learning, predictive modeling and optimization techniques.

These products would help businesses understand, manage, and optimize the experience throughout the customer journey. Example applications include real-time online media optimization, media attribution, predictive sales analytics, product recommendation, mobile analytics, predictive customer scoring and segmentation and large-scale experimentation.

Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development.

Familiarity working with large-scale datasets and techniques would be a plus.

What you'll do

  • Develop predictive models on large-scale datasets to address various business problems through using sophisticated statistical modeling, machine learning techniques.
  • Solve challenging Data Science problems such as sparse data, online learning, reinforcement learning etc. when solving business problems in digital marketing.
  • Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems
  • Collaborate with product management and engineering groups to develop new products and features.
  • What you need to succeed

  • PhD or MS students enrolled in US university programs, such as Computer Science, Electrical Engineering, Statistics, Applied Math, Econometrics, Operations Research, or other related fields.
  • Deep understanding of statistical modeling and data mining concepts, and a track record of solving problems with these methods.
  • Proficient in one or more programming languages such as Python, Java and C.
  • Familiar with at least one of machine learning or statistical modeling tools such as R, SciKitLearn, SparkML(MLlib), Tensorflow.
  • Strong analytical and quantitative problem solving ability.
  • Excellent communication, relationship skills and a strong teamplayer.
  • Preferred Qualifications

  • Experience with Hadoop, MapReduce, Spark and querying tools (such as Hive, Pig, Impala).
  • Experience with relational (SQL) and NoSQL Databases.
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