Senior Machine Learning Engineer
Il y a 21 minutes
As a **Senior Machine Learning Engineer** at IAS, you will be part of a team at the center of the company's innovation strategy and a major contributor to the company's core products. You will work on challenging technical problems, using machine learning applied to multimodal content classification.
The types of challenges we solve have attracted people from industry and academia with diverse backgrounds, including machine learning, computer science, finance, physics, biology, neuroscience, and economics. We're passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table.
**What you'll get to do**:
- Work with a variety of data sources to build production-ready ML models
- Collaborate with engineers to integrate solutions within larger engineering workflows
- Effectively communicate results from ML/DL models and statistical learnings to a variety of stakeholders within R&D and product organizations
**What you'll need**:
- Advanced degree (MSc, PhD or equivalent industrial experience) in a relevant technical field (machine learning, computer science, computer vision, etc)
- 5+ years of industry experience delivering machine learning systems from ideation to production.
- Strong programming skills in Python and experience with deep learning frameworks (e.g., Pytorch, Tensorflow)
- Good experience developing deep neural networks (CNN, transformers), preferably applied to NLP, computer vision, or audio processing.
- Experience with source control workflows and deploying ML models in production (experience with inference frameworks such as Tensorrt, Onnx, or Triton is a plus)
- Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
- A continuous learner with a strong interest translating theory into practical solutions.
- Experience distilling product requirements into problem definitions, dealing with ambiguity and competing objectives
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
**What puts you over the top**:
- Practical experience with image/video classification, object detection, speech recognition, machine translation, and similar problems.
- Publication record in deep learning / neural networks or adjacent fields
- Experience working with distributed computing tools applied to machine learning (Ray, horovod), or to data processing and cloud platforms (AWS, GCP)
**About Integral Ad Science**
**Equal Opportunity Employer**:
- IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply._
**California Applicant Pre-Collection Notice**:
- #LI-Hybrid_
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