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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Staff Applied Scientist - Applied AI

AI Summary ✨

Requirements:

  • 8+ years of industry experience (applied scientist, data scientist, ML engineer, tech lead…) and a Master’s degree or PhD in relevant fields
  • Strong track records of designing, prototyping, scaling and launching applied science products to solve business problems.
  • Deep understanding of Machine Learning lifecycle, best practices, algorithms and domains (eg. anomaly detection, natural language processing, computer vision, personalization and recommendation)
  • Experience collaborating with and understanding the needs of stakeholders from a variety of business functions and ability to work with domain experts to leverage their expertise into your solution
  • Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.
  • Fundamental understandings of the data engineering practice around creation of data pipelines, processing data and storing data using technologies such as spark
  • Ability to take a product-oriented mindset in using conceptual and innovative thinking to develop and apply solutions taking into consideration the user experience
  • Proven ability to communicate clearly and effectively to audiences of varying technical levels

What You'll Be Doing:

  • Identify high impact business opportunities through data exploration, model prototypes and bootstrapping projects.
  • Hands-on development, productionisation, and operation of machine learning models and pipelines at scale, including both batch and real-time use cases, structured and unstructured data
  • Collaborate closely with applied scientists and engineers to develop the next generation of Datadog’s features
  • Mentor and guide applied scientists in the organization by promoting best practices, strong technical decisions, coding standards and thorough documentation
  • Regularly present work internally (applied science demo, internal talks,...) to technical, engineering and product stakeholders to iterate and generate excitement
  • Engage with the applied science and engineering community to advance Datadog’s standing

Perks and Benefits:

  • High income earning opportunities based on individual performance
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Sales training in MEDDIC and Command of the Message
  • Intradepartmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
  • Access to Inclusion Talks, our Internal panel discussions
  • Free, global Spring Health benefits for employees and dependents age 6+
  • Competitive global benefits
  • Giving programs
Apply here
Datadog logo

Datadog

France

Experience: Staff
Posted: April 7, 2025
Python
Spring
machinelearning

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