We are looking for an AI Engineer to join our growing team. You will be responsible for developing and optimizing natural language processing systems, working with language models and their training pipelines, and implementing efficient vector search solutions. You will work in a close-knit team that spans engineering, UX, cognitive science, design, and operations, in our shared mission to invent, implement, and deliver the most significant user interface changes in a generation.
Come close the imagination gap on what AGI is for. Our team has unmatched ambition and clarity of purpose. We seek to be the best in the world: on capability, on UX, and on maximizing wellbeing for everyone on the planet.
Culture
We welcome teammates who want to do their life’s best work for the next 10 years. We are exceptional at what we do, and see ourselves as craftspeople who enjoy working in the fellowship of other intrinsically motivated people. We strive to be Level 5 humans, co-creating a deliberately developmental atmosphere.
What You Can Expect Working Here To Be Like
- Speed: Our ambition will only be reached if we are laser focused on the essential and move purposefully. You will consistently find yourself not knowing how to proceed and needing to figure out how to take next steps despite that.
- Opportunity: We are at an inflection point for our species and are bending the world to toward one we want to live in – where everyone is safe and has access to the opportunities to express their innate creativity and pursue their deepest meaning.
- Optimism: We are high fun, ultimately high agency.
- Comfort with being uncomfortable: You should expect to always be in your “developmental zone,” which necessitates feeling inadequate and uncomfortable. Personal development is a core practice for continually leveling-up as technologist and as a human. Everyone is a senior person.
- Support: We are all in this together, and here to help each other succeed. We’ve got empathy for each other because we’re all experiencing the discomfort of growth together. We’ll only win as team, so the only valid use of ego here is to create with it.
- Collaboration: We are building the rocketship as we’re flying it. We’re all responsible for finding ways to make ourselves and our team more effective. We’re run by ideas, not hierarchy.
What We Offer
- The opportunity to see your research directly impact people’s lives at scale.
- The chance to do the best work of your life surrounded by some of the most capable humans on the planet.
- Compensation at the high end of the market for the role, including benefits. Compensation will scale up with the company’s stage.
- Unceasing opportunities for career growth.
Qualifications
- Design and implement NLP systems using modern language models and embeddings
- Strong experience in Python and machine learning frameworks (PyTorch, TensorFlow, or similar)
- Demonstrated expertise in working with large language models, including fine-tuning and optimization
- Experience implementing and optimizing vector search systems for production environments
- Strong background in machine learning fundamentals and NLP concepts
- Proficiency in processing and analyzing large-scale text data
- Experience with model evaluation, performance optimization, and debugging
- Experience working in a professional team of software engineers, and the tools and best practices for code, collaboration, and deployment.
- Excellent problem-solving skills and attention to detail; pixel level perfection is core to what we do.
- Excellent communication and teamwork skills working remotely.
- Ability to manage multiple tasks and projects simultaneously.
- A passion for learning and adapting to new technologies.
- Desire to stay informed about emerging trends and technologies, continuously enhancing your skills and the team's capabilities.
Preferred Qualifications
- Experience with embedding models (sentence transformers, custom embeddings)
- Familiarity with vector databases (LanceDB, Milvus, Weaviate, or similar)
- Background in prompt engineering and LLM application development
- Experience with distributed computing and large-scale data processing
- Knowledge of ML ops and model deployment best practices
- Familiarity with cloud platforms (AWS, GCP, or Azure)
- Track record of contributions to open-source ML/NLP projects