Autonomy Droid Perception SWE - Offboard Systems
Zipline · South San Francisco, California, USA
Posted about 3 months ago · $200,000 - $240,000
or apply directly on Zipline 's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Zipline 's roles stay open a median of 78 days
- Reposted
- No
- Salary listed
- Yes 51% of Zipline 's roles list one
- Ghost-job risk at Zipline
- high 338 stale, 6 reposted of 342 open
- Hiring momentum
- 454 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Zipline 's own greenhouse board since 2026-08-03. Full hiring picture for Zipline .
About this role
In this role, you will be responsible for designing and implementing computer vision machine learning models that enhance Zipline's drone delivery systems. You will work on both cloud and on-device perception models, focusing on tasks such as semantic segmentation and geometry modeling from aerial data. The position requires a balance of rapid development and deployment of production-grade systems while ensuring reliability and performance in real-world applications.
- benefits
- 4/5
- 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 Zipline as an employer.
What you need
- At least 5+ years of experience (Senior) or 8+ years of experience (Staff) building and deploying deep learning-based perception systems
- Strong understanding of classical computer vision and modern ML approaches
- Hands-on experience training, fine-tuning, and optimizing CNN, transformer, and foundation-style model architectures in production environments
- Familiarity with building training, data annotation, and evaluation pipelines
- Comfort working across systems, including data pipelines and debugging distributed training issues
- Experience deploying models in real-world, high-stakes robotics or autonomy applications (required for Staff)
Nice to have
- Experience bringing up new efforts within your role
- Demonstrated examples of building staged roadmaps for challenging ML tasks
What you get
- Starting cash range for Senior: $200,000 - $240,000; for Staff: $240,000 - $280,000
- Equity compensation
- Overtime pay
- Discretionary annual or performance bonuses
- Sales incentives
- Benefits such as medical, dental and vision insurance
Worth weighing
- Fast-paced environment with an average of shipping new features every 6 weeks
- Role involves both cloud and on-device systems, which may require diverse skill sets
- Not a purely research role; emphasis on practical application and production-grade systems
Summarised from Zipline 's posting. Read the full original.
Listed by Zipline on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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