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Currently tracking 18 active AI roles, down 55% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $47k–$278k (avg $195k).

Hiring
18 / 18
Momentum (4w)
↓-16 -55%
13 opens last 4w · 29 prior 4w
Salary range · avg $195k
$47k–$278k
USD · disclosed roles only
Tracked since
Dec '22
last role 2d ago
Hiring velocityscroll left for older weeks
1 new role
Sep 14
1 new role
Jul 12
1 new role
Dec 5
1 new role
Jan 20
1 new role
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1 new role
26
1 new role
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1 new role
Aug 11
3 new roles
25
1 new role
Sep 29
1 new role
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1 new role
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1 new role
Dec 1
15 new roles
15
1 new role
Jan 5
2 new roles
19
4 new roles
26
1 new role
Feb 2
4 new roles
9
3 new roles
16
3 new roles
23
14 new roles
Mar 2
2 new roles
9
5 new roles
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14 new roles
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5 new roles
30
5 new roles
Apr 6
5 new roles
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4 new roles
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4 new roles
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3 new roles
May 4
2 new roles
11

Jobs (2)

18 AI · 111 total active
FilteredStagePost-train×CountryUnited States×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllData · 1Post-train · 5Serve · 5Agent · 3Ship · 4
Function
AllEngineering · 16Research · 2
Country
AllUnited States · 12Switzerland · 6
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Autonomy Engineer Intern - Deep Learning (Computational Photography)
Skydio is seeking an Autonomy Engineer Intern to focus on deep learning for computational photography in autonomous drones. The role involves designing, training, and deploying optimized models for real-time applications on embedded hardware, as well as for cloud deployment. Responsibilities include leveraging real-world and synthetic data, foundation models, and developing evaluation benchmarks.
Post-trainServeEngineeringSan Mateo, CA +13w ago9
Autonomy Engineer - Deep Learning
Skydio is seeking an Autonomy Engineer - Deep Learning to train and deploy optimized deep learning models for their autonomous flight systems. The role involves designing, implementing, and deploying computer vision and multimodal deep learning models, leveraging real-world and synthetic data, and optimizing models for low-latency embedded hardware. The position requires an MS or PhD, hands-on experience with deep learning model deployment, and strong coding skills in Python/PyTorch and C++.
Post-trainServe
Engineering
San Mateo, CA +1
Dec '25
9