Remote Algorithmic Bias Jobs

Benchmarking: Rigorously compare new approaches against strong baselines, curating test cases that deconfounds impact of different sources of bias

Practical Eye: The ability to leverage analytic insights to build practical tools – metrics, algorithmic optimizations

Core ML foundations (supervised/unsupervised, cross-validation, bias–variance, regularization, eval metrics) and common algorithms (regression

The Senior Director will collaborate with cross-functional teams to develop and deploy machine learning models and algorithms to improve our cyber intelligence platform

We are dedicated to developing cutting-edge ML algorithms and models that can help vehicles reason about the world around them in real-time.

Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also

Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.

An understanding of machine learning algorithms and techniques.

An understanding of machine learning algorithms and techniques.

Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques.

Experience: Deep, practical understanding of the modern AI/ML stack and optimized compilation and execution of algorithms on modern GPU

As our next AI/ML Platform Engineer you should have 7+ years of professional experience developing machine learning systems and algorithms, plus:

In this role, you will: Act as a technical lead within the data team to advance our recommendation & search algorithms.

define new process improvement opportunities Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms

What you'll do: Develop and deploy new both production machine learning algorithms and core infrastructure to enrich the buyer and seller