Weave

3 months ago

Senior Machine Learning Engineer, Gen AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Senior ML Engineer at a distributed backend and data-focused team building AI-powered features, ML infrastructure, and scalable services. You’ll design and deploy models and tooling, work across cloud environments, and collaborate with cross-functional teams to democratize access to data and AI capabilities at scale for hundreds of millions of users.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•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 patterns, anti-patterns, and tradeoffs of machine learning and guide them to excellent customer experiences end to end.
•Build scalable, resilient services to support data integration, event processing, and platform extensions

Key Requirements

•5+ years of experience in any structured back-end language (Go, Java, or Python); Go and Python experience a plus
•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
•Experience with ML technologies such as Python, Jupyter, Workflow Engines (Dagster, MLFlow, Kubeflow, etc), DVC, Triton Server, LLMs, Postgres, and others
•Experience with modern ML tools and techniques (LLMs, RAG, Prompt Engineering, Fine Tuning, multi-modal models)

Experience:5+ yearsMachine learningData infrastructureTechnology

Skills:TeamworkCollaborationCommunicationBias for action

Languages:English

Tech Stack:PythonGoJavaJupyterDagsterMLFlowKubeflowDVCTriton ServerLLMsPostgresAWSGCPKubernetes

Company Brief

Weave

Provides an integrated communications and customer engagement platform for small and medium businesses, offering phone, messaging, appointment reminders, payments, and CRM tools to improve customer relationships and practice operations.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Lehi, United States

Founded: 2008

Website LinkedIn

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Weave

3 months ago

Senior Machine Learning Engineer, Gen AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•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 patterns, anti-patterns, and tradeoffs of machine learning and guide them to excellent customer experiences end to end.
•Build scalable, resilient services to support data integration, event processing, and platform extensions

Key Requirements

•5+ years of experience in any structured back-end language (Go, Java, or Python); Go and Python experience a plus
•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
•Experience with ML technologies such as Python, Jupyter, Workflow Engines (Dagster, MLFlow, Kubeflow, etc), DVC, Triton Server, LLMs, Postgres, and others
•Experience with modern ML tools and techniques (LLMs, RAG, Prompt Engineering, Fine Tuning, multi-modal models)

Experience:5+ yearsMachine learningData infrastructureTechnology

Skills:TeamworkCollaborationCommunicationBias for action

Languages:English

Tech Stack:PythonGoJavaJupyterDagsterMLFlowKubeflowDVCTriton ServerLLMsPostgresAWSGCPKubernetes

Company Brief

Weave

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Lehi, United States

Founded: 2008

Website LinkedIn