AurorFirst is building personal assistant for family life. We are developing powerful multi-agent systems for dialog and memory, with an aim to create human-level AI-helper available for anyone.

We are inviting Machine Learning Engineer with a special focus on GenAI to join our well-played team in London or remotely.  This role is a unique opportunity to contribute to high-impact projects, from idea to launch, within the dynamic pace of a startup.

🤝  A perfect fit

• You possess a solid background in Computer Science, Engineering, or related fields. Advanced degrees (Master’s or PhD) are appreciated but not essential.
• You bring practical experience as a Machine Learning Engineer, with a portfolio in Generative AI, Large Language Models, and data processing.
• You have first-hands experience building LLM agents and pipelines utilizing state-of-the-art models and tools.
• You are proficient in Python, SQL, NoSQL, Vector databases, and have a good grasp of CI/CD practices, Git, Docker, backend development, and asyncio.
• Familiarity with PyTorch, TensorFlow, and model fine-tuning techniques (e.g., LoRa, QLoRa) will set you apart.

You are driven by the challenge of turning recent ML breakthroughs into solutions that meaningfully address user needs. You thrive in both team settings and solo projects, demonstrating independence and problem-solving skills. If you're seeking a dynamic startup atmosphere where adaptability and proactive problem-solving are key, this role is for you.

❤️‍🔥 Why Join Us?

• Be at the forefront of democratizing family support with AI innovations.
• Rapid growth to $1M ARR in just 4 months. Google for Startups alumni, mentioned by a16z in the list of the most prominent “AI for Families” companies.
• Seed round from top-tier investors who backed DataDog (NASDAQ: DDOG).
• Work alongside a passionate team of specialists from Snap, Google, Yandex & YC.
• Flexible working arrangements, competitive salary and attractive early-joiner benefits.
• Cozy startup atmosphere with current team under 10 people.

✍️ Apply Now