Staff Machine Learning Engineer, Gen AI - Remote

Overview

Weave is looking for engineers hungry for fun challenges who can join our self-empowered teams and contribute in both technical and non-technical ways.

You will be joining a team of talented developers that share a common interest in distributed backend systems, data, scalability, and continued development. You will get a chance to apply these, and other skills, to new and ongoing projects to make machine learning more approachable, data more available, and easier to discover and use by helping design how teams build out AI powered features at Weave.

Our teams are cross-functional agile teams composed of a product owner, backend and frontend devs and devops. Teams are highly autonomous with the ownership and ability to act in Weave’s best interest.

Above all, your work will impact the way our customers experience Weave while working closely with a highly skilled team to accomplish varying goals and cultivate our phenomenal culture.

In Short

• This position will be available for fully remote in the US with an opportunity to work in an office, if located near the Lehi, UT Headquarters.
• Reports to: Engineering Director
• Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences.
• Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning.
• Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products.
• Consult with teams to help them understand common patterns, anti-patterns, and tradeoffs of machine learning.
• Build scalable, resilient services to support data integration, event processing, and platform extensions.
• Write code that is high-quality, performant, sustainable, and testable.
• Coach and collaborate inside and outside the team.
• Work with our stakeholders to translate product goals into actionable engineering plans.

Requirements

• 8+ years of experience in Machine Learning or AI, preferably with a focus on natural language.
• Experience moving and storing TBs of data or 100M’s to 10B’s of records.
• Experience building and deploying ML driven B2B multi-tenant applications in production environments at scale for external products and customers.
• Experience with common ML technologies such as Python, Jupyter, Workflow Engines (Dagster, MLFlow, KubeFlow, etc).
• Experience with modern ML tools, techniques, and evaluation such as LLMs, RAG, Prompt Engineering.
• Experience with data labeling or annotation for audio or text use cases.
• Understanding of distributed systems and building scalable, redundant, and observable services.
• Expertise in designing and architecting systems for distributed data sets and services.
• Experience building solutions to run on one or more of the public clouds (e.g., AWS, GCP).
• Self driven and a thirst for learning in a quickly changing industry.

Benefits

• Inclusive workplace where all individuals are valued and supported.
• Opportunity to work with cutting-edge technologies.
• Support for professional growth and learning.
• Flexible working conditions.
• Collaborative team environment.