Senior Machine Learning Engineer

1 month ago

Dallas, United States Motion Recruitment Full time

We are a fast-moving Supply Chain Logistics start-up that is committed to delivering greater transparency across the entire supply chain network, providing solutions to our clients through the leveraging of real-time data automation that helps uncover where breakages occur. Additionally, we seek to provide logistics solutions powered by the integration of Gen AI, LLMs, and Computer Vision tooling. We are hiring for a Senior Machine Learning Engineer with 2-3 yrs. of experience being hands-on in the development of End-To-End ML pipelines. This includes having documented data extraction experience, familiarity working with an ML framework such as PyTorch, Tensorflow or Scikit-Learn, and having a background in optimizing ML models for performance and scalability. Any experience with parallel computing, distributed systems, and accuracy tracking is preferred.

In this opportunity you will lead and develop algorithms and pipelines for extracting structured data from unstructured document formats such as PDFs, images, and text files. On the R&D side you will be evaluating and selecting appropriate tools and technologies to support the development and deployment of ML solutions. You will also play a pivotal role in designing and architecting scalable and efficient machine learning systems that will be capable of processing large volumes of data and are deployable in production environments.

This role is fully remote, but ideally PST time as the hiring manager for the role is based in San Francisco. In addition to salary this opportunity offers an equity package, opportunities for professional development and career growth, and a dynamic and collaborative work environment with cutting-edge technologies. Required Skills & Experience2-3 yrs. being hands-on w/Data Extraction2-3 yrs. being hands-on w/End-To-End ML Pipeline Development1 yr. being hands-on w/Gen AI & LLMsPyTorch, Tensorflow, or Scikit-LearnDesired Skills & Experience

Background in Supply Chain LogisticsExperience in Computer Vision, Distributed Systems, Parallel Computing, Accuracy TrackingBenefits & Perks

Equity PackageFully RemoteGenerous Paid-Time OffApplicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted by:

Connor Hart

Specialization:

Machine Learning/Data Science #J-18808-Ljbffr

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