Remote AI Research Scientist/Engineer

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Work & Co

💵 $208k-$232k
📍Remote - United States

Job highlights

Summary

Join our diverse and distributed team as a freelance AI Research Scientist/Engineer to evolve existing evaluation strategies, develop new features, analyze product usage information, and communicate discoveries to stakeholders.

Requirements

  • Robust understanding of Artificial Intelligence as a field, including machine learning, natural language processing, and generative AI
  • Extensive experience in designing and implementing machine learning benchmarking and evaluation metrics
  • Knowledge of common NLP problems: named entity recognition, sentence classification, tokenization, and others
  • Experience with machine learning in the Python ecosystem: PyTorch, Tensorflow, Scikit, Pandas, etc
  • Experience in research, development, and implementation of novel ML methods

Responsibilities

  • Partner with a senior data scientist, product manager, and larger product team
  • Work on a new-to-market generative AI product to define the data science and measurement strategy informing content strategy decisions and technical optimizations
  • Develop and implement metrics to measure the accuracy, efficiency, and overall effectiveness of LLM-based AI models
  • Daily participation in client-facing standups, workshops, and discussions on messaging channels

Benefits

Base pay for the AI Research Scientist/Engineer contractor role is between $100/hour and $112/hour

Job description

Work & Co, part of Accenture Song, is a global design and technology company with offices in the United States, Europe, and Latin America. We’re known for uniting the industry’s best hands-on strategy, product and technical talent to generate tangible impact at scale. Client partners include IKEA, Apple, PGA TOUR, Gatorade, Google, Mercedes, Givenchy, the MTA and more. As Fast Company noted, our engineering and design teams are routinely entrusted with creating digital products for companies which rarely approach outside firms. Forrester Research calls our approach “a model to follow.”

We’re seeking a freelance AI Research Scientist/Engineer to join our diverse and distributed team from many disciplines. We are looking for a critical thinker that will evolve existing evaluation strategies, develop new features, analyze product usage information, and communicate discoveries to stakeholders.

What You Will Do

  • This person will partner with a senior data scientist, product manager, and larger product team.
  • They will work on a new-to-market generative AI product to define the data science and measurement strategy informing content strategy decisions and technical optimizations.

We Are Looking For

  • Robust understanding of Artificial Intelligence as a field, including machine learning, natural language processing, and generative AI.
  • Extensive experience in designing and implementing machine learning benchmarking and evaluation metrics.
  • Knowledge of common NLP problems: named entity recognition, sentence classification, tokenization, and others.
  • Experience with machine learning in the Python ecosystem: PyTorch, Tensorflow, Scikit, Pandas, etc.
  • Experience in research, development, and implementation of novel ML methods.
  • Develop and implement metrics to measure the accuracy, efficiency, and overall effectiveness of LLM-based AI models
  • Daily participation in client-facing standups, workshops, and discussions on messaging channels.
  • Availability from 9:00 am EST - 6:00 pm EST via normal communication channels (Slack, Zoom, Teams, E-mail, etc.)

The base pay for the AI Research Scientist/Engineer contractor role is between $100/hour and $112/hour. The actual salary is dependent upon many factors, such as: experience, knowledge, skills, and market demands. The base pay range is subject to change and may be modified in the future.

At Work & Co, we believe diversity is essential to creating the best digital products. We’re proud to be an equal opportunity employer committed to diversity and inclusion. We do not discriminate based on race, gender, ethnicity, citizenship, national origin of employees, religion, sexual orientation, age, marital status, disability, veteran status or any other legally protected status.

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