Who are we?

Join us at the forefront of innovation in the AI sector. Our mission is to accelerate the future of work. We're not merely envisioning the future; we're actively constructing it. Our work is inspired by Ford's assembly line, Ohno's production system and Musk's 5 step algorithm.

We are a well-funded Silicon Valley based Series A startup.

Our founding team boasts a remarkable track record in AI and the startup ecosystem, with each member having previously steered AI startups to unicorn status. As we write this new chapter in AI, we invite you to be part of this exciting journey. Be a part of an exceptional team that's not just watching the future unfold but actively making a huge impact in a short amount of time.

We are growing our engineering team centered around Berlin and San Francisco.

What you will do

• Collaborate closely with product managers to clearly understand and refine product requirements, aligning them seamlessly with our business goals.
• Innovate in the field of data science and machine learning by designing, prototyping, and testing models. While we drive the capabilities of LLMs, we expect that in some cases you’ll also apply other ML approaches.
• Analyze large-scale historical data as well as data that our services generate regularly to build robust models and insights.
• Partner with our production teams to construct and implement scalable, efficient, and dependable data science systems and pipelines, designed for round-the-clock operation.
• Enhance our data science productivity, focusing on areas such as automation, data refinement, code efficiency, and procedural improvements.
• Contribute to the bleeding edge of AI and drive innovation forward, staying ahead of the curve.

What we look for

• Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, or a related technical discipline.
• At least 3 years of professional experience in data science, with a strong emphasis on machine learning and data analysis.
• Demonstrable experience in creating, implementing, and maintaining data science models and infrastructures.
• Willingness to roll up sleeves and get intimate with the data.
• Knowledge of Large Language Models (LLMs) including experience in training and fine-tuning LLMs.
• Background in full-stack development will be considered favorably.
• Proficiency in programming languages like Python, and familiarity with ML frameworks including PyTorch, TensorFlow, and Transformers.
• Acquaintance with cloud computing environments such as AWS, Azure, or GCP.
• Exceptional problem-solving abilities and effective communication and teamwork skills.