Software Engineer, AI/ML Infrastructure
Glean · Mountain View, CA
Posted about 3 months ago · $175,000 - $270,000
or apply directly on Glean's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 87 days Glean's roles stay open a median of 87 days
- Reposted
- No
- Salary listed
- Yes 76% of Glean's roles list one
- Ghost-job risk at Glean
- high 116 stale, 1 reposted of 116 open
- Hiring momentum
- 156 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-29
Measured from postings appearing on and disappearing from Glean's own greenhouse board since 2026-08-03. Full hiring picture for Glean.
About this role
As a Software Engineer focused on AI/ML Infrastructure at Glean, you will design, build, and enhance systems that support AI and machine learning capabilities for enterprise applications. Your work will involve developing data pipelines, managing large language model serving, and creating proactive monitoring systems for infrastructure health. You'll collaborate closely with customers to understand their needs and mentor junior engineers while writing maintainable code.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Glean as an employer.
What you need
- 2-6 years of experience
- BA/BS in computer science, math, sciences, or a related degree
- Proven ability to design, build, and ship production-ready software, ideally around AI/ML infrastructure
- Strong coding skills (Python, Go, Java)
- Thrive in a customer-focused, tight-knit and cross-functional environment
- Proactive and positive attitude to lead, learn, troubleshoot and take ownership of tasks and features
What you get
- Base salary range of $175,000 - $270,000 annually
- Variable compensation, equity, and benefits may be available
- Comprehensive benefits package including Medical, Vision, and Dental coverage
- Generous time-off policy
- 401k plan contribution opportunity
- Home office improvement stipend
Worth weighing
- Hybrid work model requires 3-4 days in the Mountain View office
- No specific mention of technologies beyond Python, Go, and Java
- AI fluency is a core requirement, which may be a challenge for some candidates
Summarised from Glean's posting. Read the full original.
Listed by Glean on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.
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