October 25
• We're hiring customer focused Applied Scientists, who will work directly with our enterprise customers to deliver cutting-edge solutions, at multiple levels from Senior to Principal! • At Gretel, our mission is to build the best developer platform for synthetic data... • We’re a highly collaborative, remote-first company with employees across the US and Canada. • At Gretel, you will be working on ways to make access to data safer, easier and faster without compromising privacy. • This role sits in Gretel’s Customer Experience (CX) and Delivery team focused on strategic, enterprise customer engagements. • You will define strategies to address technical and business challenges, build proof-of-concepts, and develop repeatable solutions for productization. • With 135k+ developers on Gretel’s platform, this is your chance to have a massive impact on the synthetic data industry and our strategic enterprise customers.
• M.S. or PhD in Computer Science, related technical field, or equivalent practical experience. • 3+ years of industry experience in building and fine-tuning Machine Learning models. • 3+ years of experience in a delivery capacity or directly working with end customers during product adoption • Deep experience in machine learning, specifically natural language processing (NLP) and/or generative AI (GANs, transformers, language models, etc.). • Programming experience in Python, regularly utilizing Colab or Jupyter notebooks and open source libraries (like Pandas, Tensorflow, and more). • Solution-Oriented Mindset – you have a track record of turning complex customer problems into practical, impactful solutions. • Excellent communication skills – you will be working directly with customers, so we’re extra mindful about verbal and written communication. • Experience working with business stakeholders, whether they’re internal or external customers/clients. • Willingness to travel occasionally (up to 20%) for internal and customer meetings, conferences, and industry events, as needed.
Apply NowOctober 20
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