or apply directly on Planet's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 19 days Planet's roles stay open a median of 34 days
- Reposted
- No
- Salary listed
- No 0% of Planet's roles list one
- Ghost-job risk at Planet
- high 56 stale, 12 reposted of 127 open
- Hiring momentum
- 156 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Planet's own greenhouse board since 2026-08-03. Full hiring picture for Planet.
About this role
As a Senior Machine Learning Engineer at Planet, you will focus on developing and optimizing machine learning models for Defense and Intelligence applications, particularly in the realm of geospatial analytics. Your role involves hands-on engineering, implementing advanced computer vision techniques, and collaborating with a diverse team to innovate solutions that can operate at continental and global scales. You will also establish testing and validation frameworks to ensure model reliability.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
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 Planet as an employer.
What you need
- 10+ years of relevant experience
- 6+ years of experience in machine learning
- Expertise with data science, time series methods, computer vision, and embeddings
- Ability to implement, train, and optimize neural networks
- Experience wrangling large datasets with geospatial libraries
- Proficiency in frameworks like PyTorch/TF for model development
Nice to have
- Practical knowledge of remote sensing, satellite imagery, or related geospatial domains
- Knowledge of coordinate reference systems and common data formats
- Hands-on experience building geospatial or sensor-driven data products from scratch
- Familiarity with techniques like model compression or distributed training pipelines
What you get
- Comprehensive Medical, Dental, and Vision plans
- Health Savings Account (HSA) with a company contribution
- Generous Paid Time Off in addition to holidays
- 16 Weeks of Paid Parental Leave
- Wellness Program and Employee Assistance Program (EAP)
- Home Office Reimbursement
Worth weighing
- Full-time hybrid role requiring 3 days in the Arlington, VA office
- No specific mention of a modern tech stack, though advanced techniques are required
- Role involves working with export-controlled information, which may affect hiring
- Salary range provided, but final determination depends on experience and location
Summarised from Planet's posting. Read the full original.
Listed by Planet on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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