About Coda
Coda is your all-in-one collaborative workspace. We bring teams and tools together for a more organized work day. Coda is familiar and flexible like the documents you’re used to, but comes with building blocks you can combine to create docs as powerful as apps. It’s a big product with an even bigger mission. And with our launch of Coda AI, we give people a writing assistant that acts as an omnipresent, an informed Al collaborator, a knowledge assistant that understands your work across all of the tools you use, and a task assistant that combines all of this into powerful AI enabled workflows.
We’re backed by some of Silicon Valley’s leading venture capitalists, and have assembled a world-class team all over the United States. Join us as we take our product to the next level. Here’s a quick overview of what we do.
About the role
As an AI/ML Engineer at Coda you will build products that use the latest AI technology to build applied solutions for users problems, some of which can be seen at
coda.io/ai. You will use LLMs and train models to help users write content, find and summarize structured and unstructured data, and build custom applications from natural language prompts.
You’ll work with a stellar team of passionate, experienced engineers and product managers who have been instrumental in building some of the most widely-used technology products globally - including YouTube, Google Drive/Docs, Google Travel/Shopping, Amazon AWS, Pinterest, and Microsoft Azure. You’ll report to Coda’s Head of AI Engineering.
In this role you will:
- Build solutions and guide direction and prioritization of which problems to solve, which to tackle in house, which to use third party products for, and how to integrate this all in a way that creates value for our users
- Partner with the product and other engineering teams to enhance Coda by bringing the magic of AI across all of its surfaces
- Work in a collaborative environment across multiple geo-located offices (Seattle, San Francisco, and Mountain View). Like many of our engineers, you can also work remotely
- Help ensure our customers have an excellent experience using Coda
- Participate in the engineering teams’ on-call rotations for customer support and live production issues during business hours
You may be a great fit for this role if:
- You have 6+ years of industry experience in a software engineering role and have a software engineering degree or equivalent experience
- You have spent 3+ years working with machine learning and have experience training and using large language models/natural language processing
- You have experience with Python and a major ML framework (PyTorch, TensorFlow, etc.)
- You have worked through model creation and serving end to end (data collection, training, evaluation, productionization)
- You are motivated and excel when challenged
How we care for our Codans!
We are committed to providing highly competitive cash compensation, equity, and benefits. Check out our
compensation philosophy. The compensation offered for this role will be based on multiple factors such as the role’s scope and complexity, and your experience and expertise, and may vary from the range provided: $150,000 - $250,000. This role is eligible for remote work anywhere within the United States.
Starting on your first day of employment, Coda offers many benefits and perks that support eligible employees and their family members. Some of our benefits include:
- Medical, Dental, Vision and Life Insurance
- 401k
- Optional Remote or in-office work
- Commuter Benefits
- Cell & Internet Subsidy
- Lunch Subsidy
- Fitness Subsidy
- Parental Leave
- Annual Educational Stipend
At Coda, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Coda believes that diversity and inclusion among our teammates is important to our success as a company, and we recruit, develop and retain the most experienced people from a diverse candidate pool.
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