Description:

Weave is seeking a Machine Learning Ops Engineer to join their self-empowered teams and tackle fun challenges.
The role involves working with a team of talented developers focused on distributed backend systems, data, scalability, and ongoing development.
You will contribute to projects aimed at making machine learning more accessible and data easier to discover and use.
The MLOps Team's mission is to facilitate product innovation by simplifying the process for developers to build AI-powered applications that require large data sets.
The position is fully remote in the US, with an option to work in the office if near the Lehi, UT Headquarters.
You will design and develop machine learning infrastructure, tooling, and models to enhance user experiences.
Responsibilities include helping teams understand the data lifecycle, building internal products for AI integration, and consulting on machine learning patterns and tradeoffs.
You will build scalable services for data integration and contribute to product functionality that handles large data volumes.
The role requires writing high-quality, sustainable code and collaborating with others to promote best practices.
You will work in a cloud environment and translate product goals into actionable engineering plans.

Requirements:

A high-integrity, team-focused approach with strong collaboration skills to build relationships across Weave.
A responsive individual with a strong bias for action.
At least 5 years of experience in a structured back-end language such as Go, Java, or Python, with Go and Python being a plus.
Experience in moving and storing large amounts of data, specifically TBs or hundreds of millions to billions of records.
Familiarity with MLOps technologies like Python, Jupyter, Workflow Engines (Dagster, MLFlow, KubeFlow), DVC, Triton Server, and LLMs.
Experience with data labeling or annotation for audio or NLP use cases.
Understanding of distributed systems and the ability to build scalable, redundant, and observable services.
Expertise in designing systems for distributed data sets and services.
Experience deploying solutions on public clouds such as AWS or GCP.
Proven ability to provide stable, well-designed libraries and SDKs for internal use.
A self-driven attitude with a desire to learn in a rapidly changing industry.
A track record of delivering complex projects on time in enterprise-grade production environments.
A strategic thinker with strong technical aptitude and a passion for execution.

Weave is an equal opportunity employer committed to fostering an inclusive workplace where all individuals are valued and supported.
The company welcomes individuals eager to learn, problem-solve, and progress, regardless of their background.
Weave provides a supportive environment for employees with disabilities or special needs requiring accommodation.
All official correspondence will be conducted through Weave branded email, ensuring a secure hiring process.