Careers at Lexica

We're a small, collaborative group of researchers and engineers creating state-of-the-art AI tools that are intuitive, helpful, and magical for everyone to use.

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A tiny cute robot programming at a laptop. Bright colors, workshop with lots of plants, natural sunlight, playful

Intuitive, Helpful, Magical

We believe the most effective way to get AI to benefit as many people is by creating AI-first tools designed to be used by anyone. To do this, we've come up with a philosophy for how we craft these tools - they should be intuitive, helpful, and magical.

The tools we develop involve a tight integration between a model's unique capabilities and the end user experience. We focus on the entire product vertical, from managing massively distributed training runs across hundreds of GPUs, to meticulously hand-crafting the easing function for animations in our interface.

This obsessive approach lets us create tools with powerful new capabilities, while also being simple enough for anyone to use. But that isn't enough. We also care about making the experience of using our tools feel magical. We want to create tools that inspire awe and wonder – tools that get people to call up their parents and say "Mom, you have to try this!" We believe that building these tools is the single most effective way to get state-of-the-art models to benefit as many people as possible.

We care about shipping models in real products to real people as fast as we can. It's not rare for someone on our team to come up with an idea for a new feature, train a model for it, and deploy it to millions of users within a just a few days.

Creativity and Ingenuity

We face unique research and engineering challenges – most of which can only be solved with unusual levels of creativity and ingenuity.

We frequently do things like improve upon the latest research in unexpected and sometimes weird ways, train new models to achieve never before seen capabilities, and repurpose existing models to solve problems in wildly new domains. We also have enough compute at our disposal for us to be able to experiment with the latest research in a way that's not possible at most companies.

What to Expect

At Lexica, you'll get to work alongside colleagues from a variety of technical backgrounds who all care deeply about ensuring state-of-the-art AI tools benefit as many people as possible.

We're based in San Francisco. We offer competitive compensation, benefits, flexible working hours, and a fantastic office space with a great view and lots of wonderful plants.

Technical aptitude

Generally speaking, we care more about your greatest technical achievement than where you went to school. We're looking for indicators that someone is a talented and capable researcher or engineer, such as a strong track record of open source contributions, a history of building and shipping technically challenging products, or a detailed blog post explaining how a new model architecture works under the hood.

Hybrid-remote work

Our office is located in San Francisco, and we aim to work in person two days a week. We believe this hybrid approach is the best of both worlds - we get to work together in person and share new ideas, while also having the flexibility to work from anywhere you like. We're flexible on the in person requirement if you're based in the PST timezone.


If we make you an offer, we're more than happy to sponsor your visa. We'll work with an immigration attorney to make sure everything goes smoothly.


We don't offer internships.

Interview process

First, we'll have an introductory call to learn more about what you're looking for, the role, and whether it's a good fit. This is a great step to ask any questions you may have about us.

Next, we usually do a take-home exercise or a follow-up call. This step helps us get to know more about you and closely reflects what you would be doing day-to-day in the role. This step will be catered to the respective role in order to assess the specific skill sets we're looking for.

Finally, we'll ask you to work with us on a brief project. This is where you'll get to meet the team and see what it's like to work with us . We'll make sure you have a clear understanding of what to expect beforehand so that you are fully prepared for this final step.

If the onsite goes well, we'll make you an offer! We don't always stick to this process, but it should give you a good idea of what to expect.

Open Positions

To apply for a position, send an email to [email protected] with the following details:

- The role you're applying for and why you're interested in it
- Your background and resume
- Links to your GitHub, personal website, and other relevant work
- An example or evidence showcasing your exceptional ability
- Your most significant technical achievement

Research Engineer – ML

San Francisco, CA

This role involves designing and training large generative models from the ground up and deploying them to millions of people. You should be interested in understanding how the latest generative models work, modifying them for new modalities, and training them efficiently at scale. You'll be working closely with our product team to tightly integrate these models into our products.

Some specific examples include training a new state-of-the-art model from scratch, fine-tuning a small LLM to accurately filter a large text dataset, or optimizing PyTorch training code to maximize accelerator utilization. You'll frequently be improving upon the latest ML research, so you should be comfortable reading and understanding research papers.

The expected salary range for this position is $200k - $340k.

In addition to salary, equity will be a significant part of the total compensation package. We offer comprehensive health, dental, and vision insurance for you and all your dependents.

Senior Software Engineer – Product

San Francisco, CA

This role is for product-focused engineers who care about how a product feels just as much as how it functions. You'll be responsible for building new features backed by state of the art generative models creating product experiences that previously weren't possible. You'll work closely with our ML engineering team to build and ship new products that leverage the latest capabilities and state-of-the-art models.

You should be very proficient working with Typescript and React, and have many years of experience with full-stack development and shipping products to users in a production environment. While this role doesn't require any previous ML experience, you should be excited to learn about the latest research and how to apply it to real world problems.

The expected salary range for this position is $200k - $330k.

In addition to salary, equity will be a significant part of the total compensation package. We offer comprehensive health, dental, and vision insurance for you and all your dependents.