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Sr. Machine Learning Engineer

3 months ago

Bengaluru, Karnataka, India Adobe Full time
:


Adobe Advertising is a combination of a 'Demand Side Platform (DSP)' and a 'Spend Optimiser' that helps customers plan, buy, measure, and optimize their digital media (across CTV, Online Video, Display, Search, Social, and Retail Media Networks).

We solve hard problems across big data (participating in 400 bn auctions a day), low latency (20 ms response time for every auction), and AI / ML.

We build product experiences that customers love for generating insights and taking action.

We help the largest global advertisers maximize the impact of their paid media budgets by delivering connected and personalized experiences to their consumers.

As the advertisement industry embraces the key changes from being privacy-safe, the resurgence of CTV, to the proliferation of 'Walled Gardens', fast paced innovation and creating differentiation with AI/ML become the cornerstone of success.

What You'll Do:

  • Hands-on data scientist who will release models in production.
  • Develop classifiers, predictive models, and multi-variate optimization algorithms on large-scale datasets using advanced statistical modeling, machine learning, and data mining.
  • Special focus on R&D that will be building predictive models for conversion optimization, Bidding algorithms for pacing & optimization, Reinforcement learning problems, and Forecasting.
  • Collaborate with Product Management to bring AI-based Assistive experiences to life. Socialize what's possible now or in the near future to inform the roadmap.
  • Lead/Mentoring a diverse team of world-class ML scientists and engineers while being responsible for driving all aspects of ML product development
:

ML modeling, data/ML pipelines, quality evaluations, productization, and ML Ops.
  • Create and instill a team culture that focuses on sound scientific processes and encourages deep engagement with our customers.
  • Handle project scope and risks with data, analytics, and creative problem-solving.
What you require:

  • Solid foundation in machine learning, classifiers, statistical modeling and multivariate optimization techniques
  • Experience with control systems, reinforcement learning problems, and contextual bandit algos.
  • Experience with DNN frameworks like TensorFlow or PyTorch on large-scale data sets.
  • TensorFlow, R, scikit, pandas
  • Proficient in one or more
:

Python, Java/Scala, SQL, Hive, Spark
  • Good to have - Git, Bazel, Docker, Kubernetes
  • General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
  • Ability to be a self-starter and work closely with other data scientists and software engineers to design, test, and build production-ready ML and optimization models and distributed algorithms running on large-scale data setsIdeal Candidate Profile
:

  • A total of 10+ years of experience, including at least 6 years in technical roles involving Data Science, Machine Learning, or Statistics.
  • Masters or


in Computer Science/ Statistics· Experience with Real Time Bidding / Ad Tech background preferred· Comfort with ambiguity, adaptability to evolving priorities, and the ability to lead a team while working autonomously.· Proven management experience with highly diverse and global teams.· Demonstrated ability to influence technical and non-technical stakeholders.· Proven ability to effectively manage in a high-growth, matrixed organization.· Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases.· An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road.· A relentless pursuit of great customer experiences and continuous improvements to the product.