Upwork is hiring a AI Scientist (Content Generation) - Contract to Hire

We are looking for a talented and passionate AI Scientist (Content Generation) to join our founding team and shape the future of our product.

Job Description

As an AI Scientist at NovelMonkey, you will join a product team and adapt the best of global AI breakthroughs into our our content generation Platform , using you LLM modeling and experimentation skills. You can speak to deep research as well as user aspirations.

Who you are

• You care more about solving customers' problems and building a delightful experience than about using a particular technology to do it.

• People describe you as "extremely productive."

• You are excited about working on a small team and helping us set the long-term vision for our engineering organization and product direction.

• You have a strong grasp of engineering and ML fundamentals.

• You stay up to date with the latest research in AI.

• You're flexible, trustworthy, energetic, and a great communicator.

• You like to quickly learn and implement new technologies, and perform POC to explore the best solution for the problem statement.

What you'll do

• Train, fine-tune, retrieve, adapt, feature engineer with your modeling skills to get the best of NLG AI into our product and to our customers.

• Integrate new R&D into our production AI engine in interoperable, scaling pieces.

• Lead as a player-coach, spending time building, coding, testing, but also coaching junior data scientists, research partners, and product managers. You can nerd out with hardcore PhD-holding researchers and then talk design feedback with a product manager or customer.

• Test hypotheses about how to improve user experience with the models that power our product. Findings may also be used to advise our research partners or product managers on new directions.

Required Technical Skills and Qualifications

• Experience getting AI/ML to value, including NLG and feature engineering. Experience with text, image, and other R&D communities is a plus. (2 years per level).

• A willingness to be technique, method, and tool agnostic and systematically turn any knob that might improve customer outcomes.

• Commitment to rigorous A/B testing and causal inference, as well as an interest in user experience and behavior, and trust and safety.

• Strong knowledge of frameworks such as TensorFlow, PyTorch, Keras.