Senior ML Workflows Engineer — Scale Pipelines & Mentor

Weights & Biases; Sunnyvale (CA); 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 insur.

Flexible Spending Account

Health Savings Account

Tuition Reimbursement

Employee Stock Purchase Program (ESPP)

Mental Wellness Benefits

Family-Forming support

Paid Parental Leave

Flexible childcare support

401(k) with employer match

Flexible PTO

Catered lunch

Job summary

Weights & Biases is seeking an experienced software engineer to own the architecture and evolution of core ML workflow systems, including Artifacts, Registry, and Automations.

Designing scalable, high-throughput systems across the full stack—from Go backends to TypeScript frontends—will be core to the role. You will lead technical initiatives and mentor other engineers while collaborating with cross-functional teams.

Qualifications

• 6+ years of software engineering experience with Go or another compiled language and Python.
• Track record of leading technical initiatives and mentoring other engineers.
• Strong knowledge of distributed systems and modern cloud infrastructure.

Responsibilities

• Own the architecture and evolution of core ML workflow systems like Artifacts, Registry, and Automations.
• Design scalable systems for high-volume event throughput across the full stack (Go backends to TypeScript frontends).
• Collaborate with teams across engineering, data, and product to deliver reliable systems.

Skills

Go

Python

TypeScript

React

GraphQL

Distributed Systems

Kubernetes

ClickHouse

Kafka

PubSub

System Architecture

API Design

MLOps

Cloud Infrastructure

Software Engineering

Mentoring

Job description

Weights & Biases is seeking an experienced software engineer to own the architecture and evolution of core ML workflow systems, including Artifacts, Registry, and Automations.

Designing scalable, high-throughput systems across the full stack—from Go backends to TypeScript frontends—will be core to the role. You will lead technical initiatives and mentor other engineers while collaborating with cross-functional teams.