Job brief: Staff Machine Learning Systems Engineer

What JoRoute checked · Checked by JoRoute

• Listed on Reddit's own job board. JoRoute does not take listings from job ads or recruiters.
• First seen by JoRoute 2026-11-04 (3 days ago); last confirmed on the board 2026-11-07.
• The apply link opens job-boards.greenhouse.io, the address Reddit's board gives for this job.
• No other listing with this title and place on this board in the last 90 days.
• No layoff notices (WARN) under this name in the state files JoRoute reads.

What the listing says · Employer's own words, not checked

• Pay: $230,000 to $322,000 a year
• Job type: Not stated
• Where: Remote · Remote - United States
• Posted: 2026-03-18 · over 60 days ago

What the job asks · Employer's own words, not checked

Level: Lead / staff. The title says "Staff".

Must have

• 8+ years of experience in ML infrastructure, including model training and model deployments
• Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

Main duties

• Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experimen…
• Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML t…
• Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more
• Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges

Lines copied from the posting, not rewritten. "Preferred" or "nice to have" items are not listed as must-haves.

How it compares · Compared by JoRoute from listings

• Typical listed pay for engineer jobs across the U.S.: $140k a year (3,403 listings, 148 employers). This listing is 97% higher.
• Across Reddit's 142 open listings, 49% of those with a posting date were first posted more than 60 days ago. How Reddit hires

What nobody outside the employer knows · Not known

• Whether the role is already filled or on hold: employers often leave listings up.
• How many people applied, and who reads the applications.
• Where in the published range an offer would land.

Ask before you apply

1. Is this role still open, and when do you hope to fill it?
2. Is the role fully remote, and from which states can I work?
3. What are the interview steps, and when should I expect to hear back?

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