As a software engineer at Augmend, you will be a key part of developing our first products and platform, helping to build out both our human-to-human collaboration software (side-by-side real time sharing experience) and the AI-system that hooks into and allows for assistance across any application a team uses.

Everyone in this early team is a builder and brings different expertise, allowing you to work across all parts of the stack while learning from others, influence architecture, work closely with customers, and be part of a high performing and small team. This is a great opportunity to learn new technologies with direct customer impact.

Responsibilities

• As an early engineering hire, be able to wear many hats, help develop across the product lifecycle (build, deploy, maintain/operate, update)
• A focus (that leverages your experience) in at least one area important for our product:
  • front end development
  • cloud backend (AWS)
  • client applications (Mac, Linux, Windows)
• Own the development of new customer-facing features and product experiences end-to-end
• Optimize applications for speed and scale
• Work alongside machine learning, service engineers, and application engineers to ship an end to end product for our customers

Qualifications

• Interest in developer tools and making development teams better and more collaborative
• Interest in AI/ML (direct experience not required)
• Based in Seattle area or willing to relocate to relocate (we expect ~3 days in the office in Redmond, WA)
• Proven experience shipping real world products
  • For front end focus, building a performant web application
  • For backend, building and operating a distributed system on AWS (preferred), Azure, or GCP
  • For client applications developing applications for MacOS, Linux, and Windows
• Flexibility and a level of comfort with early-stage iterating and moving fast
• Bias for action and a drive for results

As the first dedicated MLE/Applied Scientist at Augmend, you will lead the development of the AI systems that power our collaboration tech. In this role, you will focus on natural language processing, including search techniques (embedded search, info retrieval, etc.), Q&A, leveraging current technologies like LLMs and more. This is a great opportunity to apply cutting-edge ML techniques to real-world problems.

Responsibilities

• Drive the end to end data representation, ML pipelines, and evaluation plans for the search system and all new developer assistant
• Prepare models and systems to:
  • use embeddings for action-based search
  • build systems to answer Q&A across proprietary data
  • use LLMs for natural language generation
  • drive new explorations for action to natural language mapping
• Keep up with the latest techniques and methods in deep learning and natural language processing to dream up new improvements to the developer assistant
• Conduct open-ended investigations to improve the quality of collected data, including but not limited to, semi-supervised learning and human-in-the-loop machine learning
• Experiment on data augmentation and data generation methods to enhance the diversity and quality of training data

Qualifications

• Care deeply about AI and be passionate about building the best deep learning empowered human augmentation systems
• Interest in developer tools and making development teams better and more collaborative
• Proven experience shipping real-world ML products that use current natural language processing techniques
• Based in Seattle area or willing to relocate to relocate (we expect ~3 days in the office in Redmond, WA)
• Proven experience creating models from scratch that can be iterated on in production settings
• Flexibility and a level of comfort with early-stage iterating and moving fast
• Bias for action and a drive for results
• BS in computer science, mathematics, or a similar field; MS preferred with a focus in ML/AI but not required.