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Lexion is hiring Seattle-based Senior Machine Learning Infrastructure Engineer to join our team! We’re looking for folks with a growth mindset, who love to solve challenging problems, and want to have an impact on how businesses operate. As a member of our team, you will be responsible for developing core infrastructure to serve and train the natural language processing stack that powers our product.

Our machine learning stack is built on top of PyTorch, GPT, and Pinecone and our models are using state of the art NLP research to achieve the accuracy and speed that our product demands. As an early member of the team, you will work cross-functionally with our data science and product teams to bring cutting edge machine learning, including Generative AI applications, into the hands of users. You will be responsible for our machine learning pipeline, from data to inference, as well as the product integration.

In this role you will:

1. Fine-tune LLMs to power document understanding.
2. Design, build and deploy systems across clouds.
3. Conduct prompt engineering and rigorously evaluate the results.
4. Write directly user-facing AI features to improve our contract management system.
5. Mentor junior engineers on software engineering and system design.

What we look for:

1. Proficiency in Python, C#, Java, or similar languages
2. Experience in developing backend systems
3. Experience with load balancers, web servers, data stores and distributed queues
4. Experience with Docker and shipping products in cloud environments
5. Understanding of machine learning and natural language processing
6. Solid grasp of computer science, algorithms and data structures
7. 5+ years of experience as a machine learning infrastructure engineer
8. 3+ years of experiencing working with large scale data projects
9. A bachelor’s or master’s degree in computer science or a similar field
10. Adaptable, humble, and interested in making an impact
11. Bonus: Experience working with vector databases
12. Bonus: Experience working on user-facing AI centric products
13. Bonus: Experience working with LLMs and Generative AI applications
14. Bonus: Experience using and configuring workflow systems like Airflow
15. Bonus: Experience with search technologies (e.g. Solr, ElasticSearch, Lucene)

(And a note to those of you who read this far and are worried you might not be qualified. Apply anyway. You might be just the person we're looking for.)

What we offer:

• A fast-paced, inclusive and collaborative environment
• Medical, dental and vision coverage
• 401(k) with company matching
• Unlimited PTO
• Paid parental leave
• Equity
• Salary range: $155,000 - $205,000 plus bonus