Senior ML Engineer - End-to-End AI in Production (Austin)

steadily.com; Austin (TX); Hybrid; USD 160,000 - 210,000; Full time

Benefits offered by this job

Top of market salary + equity

3 weeks PTO + 6 holidays

Medical, dental, vision, life, disa, H

HSA, FSA

401(k)

Free snacks

Job summary

Steadily is seeking a Senior Machine Learning Engineer in Austin, TX. This role entails ownership of end-to-end ML lifecycle—from data collection and feature engineering to model deployment and monitoring—across diverse data types including image data, with a focus on scalable, production-ready systems.

You will join a growing ML team, touching architecture, tooling, and strategy. Expect 30% data pipeline work and 70% modeling, deployment, and monitoring in a highly autonomous role.

Qualifications

• 5+ years experience applying ML methods to production problems.
• Experience as a team lead or owning end-to-end deployment is a plus.
• Full-stack with data: handle raw data sources, pipelines, feature engineering, deployment.
• Business-minded data practitioner with product impact focus.
• Pragmatic, prioritizing impact and delivery, leveraging off-the-shelf solutions when appropriate.
• Curious and proactive in understanding business mechanics.

Responsibilities

• Own the end-to-end ML lifecycle: design, build, deploy, and evolve data sets and models for scalable, accurate results.
• Build lightweight data pipelines and dbt tables to prepare raw data for modeling.
• Drive measurable business impact by exploring new ML apps in the product ecosystem.
• Write clean, maintainable code in Kafka, AWS (EKS), Python, Django/FastAPI, Postgres; CI/CD via GitHub Actions.
• Collaborate across Engineering, Product, Operations, and Business to deliver reliable ML solutions.
• Provide metrics on model quality, bias, and performance to inform business decisions.

Skills

Machine Learning

Production ML

End-to-end deployment

Data wrangling

Team leadership

Tools

dbt

Kafka

AWS (EKS)

Python

PostgreSQL

Django/FastAPI

Job description

Steadily is seeking a Senior Machine Learning Engineer in Austin, TX. This role entails ownership of end-to-end ML lifecycle—from data collection and feature engineering to model deployment and monitoring—across diverse data types including image data, with a focus on scalable, production-ready systems.

You will join a growing ML team, touching architecture, tooling, and strategy. Expect 30% data pipeline work and 70% modeling, deployment, and monitoring in a highly autonomous role.