Weave · 1 month ago
Staff Machine Learning Engineer, Gen AI
United States
Full-time
Remote
Lead/Staff
8+ years expWeave is looking for engineers who can contribute to their self-empowered teams and tackle fun challenges. As a Staff Machine Learning Engineer, you will design and develop machine learning infrastructure and tooling, while collaborating with cross-functional teams to enhance AI-powered features and ensure a seamless customer experience.
MedicalSaaSSmall and Medium BusinessesSoftwareUnified CommunicationsVoIP
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 common patterns, anti-patterns, and tradeoffs of machine learning. Guide them through creating excellent customer experiences end to end
Build scalable, resilient services to support data integration, event processing, and platform extensions
Contribute to the continued evolution of product functionality that services large amounts of data and traffic
Write code that is high-quality, performant, sustainable, and testable while holding yourself accountable for the quality of the code you produce
Coach and collaborate inside and outside the team. You enjoy working closely with others - helping them grow by sharing expertise and encouraging best practices
Work in a cloud environment, considering the implementation of functionality through several distributed components and services
Work with our stakeholders to translate product goals into actionable engineering plans
Qualification
Required
High integrity, team-focused approach, and collaboration skills to build tight-knit relationships across Weave with various roles and stakeholders
Responsive person with a strong bias for action
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), DVC, Triton Server, LLMs, Postgres, and others
Experience with modern ML tools, techniques, and evaluation such as LLMs, RAG, Prompt Engineering, Fine Tuning, LLM evaluations, multi-modal models, and others
Experience with data labelling 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, etc.)
Experience providing stable well designed libraries and SDKs for internal use
Self driven and a thirst for learning in a quickly changing industry
Demonstrated track record of delivering complex projects on time and have experience working in enterprise-grade production environments
Demonstrated experience working with varied stakeholders across multiple teams
Demonstrated leadership experience leading large projects or teams
Strategic thinker with a strong technical aptitude and a passion for execution
Preferred
A background with data analysis, visualization, and presentation
5+ years of experience in engineering and systems with strong proficiency in coding and system design
Experience with low latency natural language models and pipelines at scale
Experience with real-time audio models and voice use cases such as transcription, ASR pipelines with interruption detection, audio alignment, and speech synthesis
Experience with emerging technologies such as Model Context Protocol (MCP)
Proficient understanding of containers, orchestrators, and usage patterns at scale. Experience with Kubernetes or GKE and the Operator Pattern (GCP), specifically, a plus
Experience with highly sensitive data such as PHI (HIPAA) and PII data
Experience with GitOps, IaC, and configuration driven systems
A preference for open source solutions
A track record of clean abstractions and simple to use APIs
A desire to advance the state of the art with new and innovative technologies
Enjoys working in a greenfield environment using rapid prototyping
Enjoys working with open-ended, evolving problems, and domains
Company
Weave
Weave makes communicating with customers easier for businesses by integrating features like texting, phone service, fax, and reviews.
501-1000 employees
H1B Sponsorship
Weave has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (3)
2023 (3)
2022 (1)
2021 (4)
Funding
Current Stage
Public CompanyTotal Funding
$168MKey Investors
Tiger Global ManagementLead Edge CapitalCatalyst Investors
2021-11-11IPO
2019-10-24Series D· $70M
2018-12-06Series C· $37.5M
Leadership Team
Brooke Shreeve
Chief People Officer
Erin Goodsell
Chief Legal Officer
Recent News
2025-12-29
2025-11-01
Business Wire
2025-10-31
Company data provided by crunchbase