COME JOIN OUR TEAM AS

SENIOR AI ENGINEER

- Remote

APPLY HERE

INTRODUCING CHAPTR

CHAPTR is a dynamic startup bridging media and technology. Fueled by our passion for technology and compelling content, we build cutting-edge projects and relentlessly push the boundaries of what is possible. Our initial projects, White Mirror and Stori, leverage generative AI to revolutionize how content is created and consumed. We exist at the crossroads of technology and human creativity, continuously pushing the media envelope. We prioritize innovation that serves our customers, placing their needs at the core of our work, and ensure each technological advance has a purpose.

We're actively building a diverse team, because diversity fuels fun and innovation. If you feel you may not meet all job requirements, apply anyway; we understand impostor syndrome but won't let it hinder us hiring the best. We're a remote, #familyfirst company, offering flexibility while staying committed to our mission. If you're excited about innovation, eager to propel our projects, and passionate about AI, join CHAPTR on this thrilling journey!

REMOTE OPTIONS

Fully remote within Belgium, Sweden, Netherlands, Croatia, Poland, Lithuania, Spain, France and Portugal

 

 

 

THE ROLE

We are looking for an AI Engineer, with a focus on Generative AI (GenAI).
We have ongoing GenAI products which will be launching in 2023. Beyond this, we have many new and
exciting projects in our pipeline for GenAI applications and and are exploring more foundational AI
implementations.
The ideal candidate will have deep domain knowledge of LLMs and AI model architectures, a broad
range of technical experience and preferably come with a background in the content, media &
entertainment industries. At CHAPTR, you will be at the cutting edge of the GenAI space. We will need
you to be aware of new trends and leading the charge in using and shaping the future of these
technologies. You will be the driver, not a passenger in the the GenAI industry. You will be very
comfortable in the development, training and deployment of generative models.

 

AI ENGINEERING SKILLS

  • We are looking for someone with domain expertise in LLMs and AI system design with
    experience in multimodal architectures and MLOps
  • Senior experience in a professional AI Engineer position.
  • Strong theoretical understanding of Transformers, attention mechanisms, proven track record
    through academia or equivalent high quality work experience.
  • Previous experience in fine-tuning 6 Billion+ LLMs, worked with different tuning and decoding
    strategies.
  • Extensively worked in generation, classification and other AI downstream tasks.
  • Have worked with complete model lifecycles, from the right data collection to fine-tuning to
    inference.
  • Up to date with recent developments in the AI field from a research perspective
  • Extensive experience with OpenAI API and advanced prompt engineering.
  • Ability to iterate fast and test and integrate new breakthroughs in AI on the fly.
  • Experience of setting up distributed training environment of GPUs and TPUs.
  • An excellent grasp of deep-learning framework (e.g. PyTorch, Tensorflow) and basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn)
  • Breadth of experience across the following data science techniques: supervised/unsupervised
    machine learning, model cross-validation, Bayesian inference, time-series analysis, NLP, effective SQL database querying, or using/writing simple APIs for models.
  • Experience in professional project delivery and communication (i.e. a project plan, assessing its technical feasibility, and time to delivery)
  • Example engineering skills: Model building (Transformers, GPTX, Custom models,, AS, Diffusion), compression/optimisation (Pytorch, TensorRT, Deepspeed, ONNX) to Docker / Kubernetes / AWS / GCP.

 

SKILLS WE WOULD LOVE YOU TO HAVE

  • Demonstrated track record of developing and deploying NLP and ML techniques in production.
  • Experience pre-training custom models on distributed hardware, GPUs and TPUs.
    NLP (Text classification, Topic modelling, NER, QA, Chatbots, Text generation, Prompt engineering, Fine-tuning).
  • Generative AI experience - multimodal techniques to create new content, including audio, code, images, text, simulations, and videos.
  • Specific speciality in large language models, text-to-text, text-to-image, text-to-video.
  • Knowledge of foundation models (i.e. large language models) and wider ecosystem.
  • AI Safety and ethics (research and applied) with a specific focus on Generative AI.
  • Good industry knowledge of sector evolution in the last 12 months (Open source models, OpenAI, Stability AI).
  • Practical experience creating and cleaning data sets, fine tuning foundation models (such as
    Stable Diffusion, GPT-3.5, MPT), impact on model performance and using tools for inference
  • Technical API experience working with these models.
  • Commercial experience of building applications on top of foundation models and an
    understanding of the associated safety implications.

Being a part of Holtzbrinck Publishing Group, we combine corporate funding, network and long-term commitment with the entrepreneurial freedom of a start-up.

APPLY HERE