Machine Learning Research Engineer

Baltimore, Maryland

Scale AI
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Performant model code, high-quality data, and robust evaluation methods form the foundation of an AI system. Scale's leading end-to-end solutions for the ML lifecycle based on real-world data will continue to set the bar for the data-centric AI movement. Scale's team focuses on building generative ML solutions for some of the largest companies in the world.

Your focus will be on partnering closely with cutting edge research institutes and publishing new advancements in ML and LLMs. You will be involved end-to-end in the research process, and be embedded on site with other ML researchers. If you are excited about shaping the future of the data-centric AI movement, we would love to hear from you.

You will:
  • Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
  • Work with product and research teams to identify opportunities for ongoing and upcoming services.
  • Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
  • Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.
Ideally you'd have:
  • At least 3 to 5 years of model training, deployment and maintenance experience in a production environment
  • Strong skills in NLP, LLMs and deep learning
  • Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals
  • Solid background in algorithms, data structures, and object-oriented programming
  • Native fluency in speaking, writing, and reading Arabic
Nice to haves:
  • Experience in dealing with large scale AI problems, ideally in the generative-AI field
  • Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.
  • Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, Kuberflow, TensorFlow, etc.
  • Strong written and verbal communication skills to operate in a cross functional team
About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

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Are you fluent or proficient in Arabic?

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As set forth in Scale AI's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

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A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

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Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Scale AI's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

Gender Please select Gender Are you Hispanic/Latino? Please select Are you Hispanic/Latino? Race & Ethnicity Definitions If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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Date Posted: 12 May 2024
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