What is the salary for MLOps Engineer — Austin at Databricks?

Listed range: $142k – $192k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the MLOps Engineer — Austin role based?

Austin, TX, Austin (Texas). Work mode: Hybrid.

How do I apply to Databricks?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0016. Process: Recruiter screen (30 min) → Technical interview → Team conversation → Offer.

Is Databricks hiring other AI roles?

Databricks (Data & ML platform) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

MLOps Engineer — Austin

Databricks· Austin, TX· Ref. EXP-2026-0016 4.5 (2,100 reviews)

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Salary: $142k – $192k / year
Type: Full-time
Location: Austin, TX · Austin (Texas) · Hybrid
Valid through: 11/15/2026

Additional details

Posted: Posted 2 days ago
Applications: 22; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: Texas
Team: Databricks — AI team
Company size: 5000+
Founded: 2013

Job description

Databricks is hiring a MLOps Engineer — Austin (Full-time) hybrid. This mlops engineer role is part of the AI hiring market in Austin (Texas). MLOps engineer in Austin — enterprise model CI/CD and GPU scheduling. Active hiring near MLOps World Austin and mlops austin community events. Listed compensation: $142k – $192k / year. Stack: MLOps, Austin, MLflow, Kubernetes.

MLOps Engineer profiles are in high demand in Austin: Austin’s tech scene keeps growing with AI product, robotics, and data roles at scale-ups and enterprise R&D labs.…

The team

Databricks — AI team

Responsibilities

Ship production AI with measurable quality, latency, and safety targets
Partner with product and infra on roadmap and customer feedback
Document evals, monitoring, and rollout practices for the team

Requirements

3+ years relevant experience (or strong internship + shipped projects)
Python or TypeScript and hands-on LLM/ML/data work
Comfort with evals, observability, and responsible AI practices

Tech stack

MLOpsAustinMLflowKubernetes

Benefits

Health, dental, vision

401(k) match

Equity or bonus

Learning budget

Flexible PTO

Hiring process

1Recruiter screen (30 min)
2Technical interview
3Team conversation
4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

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FAQ — MLOps Engineer — Austin

What is the salary for MLOps Engineer — Austin at Databricks?: Listed range: $142k – $192k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the MLOps Engineer — Austin role based?: Austin, TX, Austin (Texas). Work mode: Hybrid.
How do I apply to Databricks?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0016. Process: Recruiter screen (30 min) → Technical interview → Team conversation → Offer.
Is Databricks hiring other AI roles?: Databricks (Data & ML platform) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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