Senior ML Workflows Architect: Scale AI Pipelines

Weights & Biases; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Company-paid Life Insurance

Voluntary Supplemental Life Insurance

Short and Long-term Disability

Flexible Spending Account

Health Savings Account

Tuition Reimbursement

Employee Stock Purchase Program (ESPP)

Mental Wellness Benefits

Family-Forming Support

Paid Parental Leave

Childcare Support

401(k) with Employer Match

Flexible PTO

Catered Lunch

Job summary

Weights & Biases is seeking an experienced software architect to own and evolve its ML workflow systems, including Artifacts, Registry, and Automations. You will design scalable architectures and drive high-volume event throughput across the stack.

The role requires 6+ years of software engineering, strong Go (or compiled language) skills and Python familiarity, plus a track record mentoring engineers and leading initiatives. NY-based team with full-stack responsibilities.

Qualifications

• Requires 6+ years of software engineering experience with strong proficiency in Go or another compiled language and working knowledge of Python.
• Candidates must have a track record of leading technical initiatives and mentoring other engineers.

Responsibilities

• Own the architecture and evolution of core ML workflow systems, including Artifacts, Registry, and Automations.
• Design and scale systems to handle billions of artifacts and high-volume event throughput across the full stack.

Skills

Go

Python

TypeScript

React

GraphQL

Distributed Systems

Kubernetes

ClickHouse

Kafka

PubSub

System Architecture

API Design

MLOps

Software Engineering

Mentoring

Cloud Infrastructure

Job description

Weights & Biases is seeking an experienced software architect to own and evolve its ML workflow systems, including Artifacts, Registry, and Automations. You will design scalable architectures and drive high-volume event throughput across the stack.

The role requires 6+ years of software engineering, strong Go (or compiled language) skills and Python familiarity, plus a track record mentoring engineers and leading initiatives. NY-based team with full-stack responsibilities.