AI Hire Signal
JobsCompaniesTrendsInsightsWeekly
JobsStrategy timeline
AI Hire Signal

Tracking AI hiring across 200+ US tech companies. Stage, salary, and stack signals on every role — refreshed weekly.

Contact

Browse

JobsCompaniesTrendsInsightsWeekly

Resources

AboutSitemapRobots

Legal

PrivacyTerms
© 2026 AI Hire Signal·Not affiliated with companies shown

Currently tracking 25 active AI roles, up 17% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$283k (avg $201k).

Hiring
25 / 54
Momentum (4w)
↑+26 +17%
176 opens last 4w · 150 prior 4w
Salary range · avg $201k
$130k–$283k
USD · disclosed roles only
Tracked since
Dec '25
last role 6d ago
Hiring velocityscroll left for older weeks
1 new role
Feb 28
1 new role
Jul 18
1 new role
Nov 14
1 new role
Feb 6
1 new role
13
1 new role
Sep 11
1 new role
May 27
1 new role
Sep 2
2 new roles
Oct 7
1 new role
28
2 new roles
Nov 4
1 new role
18
1 new role
Dec 2
1 new role
16
1 new role
Jan 13
4 new roles
Mar 31
1 new role
Apr 21
1 new role
28
2 new roles
May 12
6 new roles
26
1 new role
Jun 2
3 new roles
Jul 28
1 new role
Aug 4
2 new roles
11
1 new role
18
3 new roles
25
1 new role
Sep 1
4 new roles
8
3 new roles
15
14 new roles
29
1 new role
Oct 6
1 new role
13
6 new roles
20
2 new roles
27
1 new role
Nov 3
3 new roles
10
2 new roles
17
1 new role
24
6 new roles
Dec 1
1 new role
8
4 new roles
15
2 new roles
22
6 new roles
29
13 new roles
Jan 12
14 new roles
19
27 new roles
26
15 new roles
Feb 2
14 new roles
9
15 new roles
16
19 new roles
23
18 new roles
Mar 2
29 new roles
9
38 new roles
16
19 new roles
23
26 new roles
30
39 new roles
Apr 6
25 new roles
13
80 new roles
20
70 new roles
27
43 new roles
May 4
51 new roles
11
36 new roles
18
47 new roles
25
56 new roles
Jun 1
25 new roles
8
29 new roles
15
58 new roles
22
33 new roles
29
30 new roles
Jul 6
33 new roles
13
34 new roles
20
54 new roles
27
55 new roles
Aug 3

Axon currently has 44 active AI-related job listings. The majority of these roles, 48%, are focused on agents. Engineering is the most frequent function for these hires, followed by Product and Research. The company is primarily hiring in the United States. Frequent technical tags include agent_orchestration, model_serving, and inference_infra, suggesting a focus on deploying and managing AI models. Over the last 30 days, Axon has posted 18 new AI roles, representing a 25% decrease compared to the previous 30-day period.

Auto-generated from active job postings · last refreshed 2026-08-02

Frequently asked questions

  • What AI roles is Axon hiring for?

    Axon currently has 55 active AI-related roles in our index. The most common open titles are: Senior D365 F&O Solutions Analyst (6), Senior Director, Enterprise Applications (6), Senior Machine Learning Scientist (3), Senior Software Engineer I (2), Senior Software Engineer II (TASER Data Science) (2). Most positions are in Engineering and Product.

  • What stage of AI development does Axon focus on?

    Axon's active AI hiring is concentrated in: agents (58%), application (20%), serving infrastructure (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Axon hiring AI talent?

    Axon is hiring AI talent in: United States (49 roles), Vietnam (4 roles), United Kingdom (2 roles).

  • What skills does Axon look for in AI roles?

    Job postings at Axon most frequently mention: Computer Vision, Machine Learning, TensorFlow, Natural Language Processing, Embedded Systems.

  • How many AI roles has Axon posted recently?

    In the past 30 days, Axon has posted 29 new AI-related roles. That is a +21% change versus the prior 30 days (24 → 29).

Axon

Axon

Enterprise · Public safety technology

Jobs (11)

35 AI · 458 total active
FilteredStageServe×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 1Post-train · 10Serve · 11Agent · 34Ship · 10
Function
AllEngineering · 51Research · 12Product · 3
Country
AllUnited States · 56Finland · 6Vietnam · 3United Kingdom · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Principal Machine Learning Engineer
This Principal ML Engineer role focuses on architecting and implementing on-device AI solutions for counter UAS systems. The role involves optimizing and deploying AI models at the edge, including on devices with limited memory and connectivity, and supporting the end-to-end AI lifecycle for continuous model improvement and new AI capabilities. It emphasizes collaboration with scientists and software engineers in a multidisciplinary team, working with multi-modal sensor fusion and real-time systems with distributed edge compute.
ServeDataEngineeringOffice, WAMar 108
Machine Learning Engineer II
Machine Learning Engineer II at Axon focused on developing and deploying AI solutions for public safety, including optimizing models for edge devices and architecting continuous deployment frameworks for AI on device and cloud. The role involves collaboration with scientists and product managers, and exposure to computer vision, speech recognition, and natural language understanding.
ServePost-train
Engineering
Ho Chi Minh City, Vietnam
2w ago
7
Senior Software Engineer II (TASER Data Science)
Senior Software Engineer II role focused on building and shipping data products, owning production ML deployment, and establishing technical direction for engineering practices within the TASER Data Science team. The role involves bringing models from research to reliable production systems with operational rigor and building data pipelines from device telemetry to analytics surfaces.
ServePost-trainEngineeringOffice, WA3w ago7
Senior Software Engineer II (TASER Data Science)
Senior Software Engineer II role focused on building and shipping data products, owning production ML deployment, and developing data pipelines for TASER device telemetry. The role involves bringing models from research to reliable production systems with operational rigor, setting technical direction for engineering practices, and working across the full stack. Experience with ML production tooling and cloud data platforms is preferred.
ServePost-trainEngineeringOffice, WA3w ago7
Senior Machine Learning Engineer
Senior Machine Learning Engineer at Axon focused on developing and deploying AI solutions for public safety. The role involves supporting the training, evaluation, testing, and deployment of ML models on devices and in the cloud, working across computer vision, speech recognition, and NLP. Key responsibilities include building POCs, architecting secure and privacy-preserving solutions for model improvement, and developing platforms to accelerate AI development. Requires strong software engineering experience, cloud architecture knowledge, and proficiency in Python/C++ and ML frameworks.
ServePost-trainEngineeringOffice, WA5w ago7
Senior Software Embedded Engineer
Senior Software Engineer to build native foundation for edge video and IoT intelligence on Axon Body cameras and FususCOREs, owning high-performance pipelines from sensor to inference and influencing architecture at the boundary of hardware, media, and AI. The role involves defining native platform architecture, SDK strategy, and designing/shipping cascade AI pipelines at the edge.
ServeAgentEngineeringOffice, WAApr 177
Senior Software Engineer II (TASER Data Science)
Senior Software Engineer II role focused on building and shipping data products, including dashboards, metrics systems, and recommendation tools. The role involves owning production ML deployment, bringing models from research to reliable production systems with monitoring and operational rigor, and building data pipelines. The engineer will also set technical direction for the team's engineering practices and work across the full stack, from device data ingestion to user-facing analytics. The company uses AI tools as a core part of the development workflow.
ServePost-trainEngineeringOffice, WAApr 97
Senior Machine Learning Engineer
Senior Machine Learning Engineer at Axon, focused on developing and deploying AI solutions for public safety. The role involves supporting the training, evaluation, testing, and deployment of ML models on devices and cloud, with exposure to computer vision, speech recognition, and NLP. Key responsibilities include architecting and developing secure, privacy-preserving solutions for continuous model improvement, and building platforms to accelerate research and product development. Requires strong software engineering experience, cloud architecture knowledge, and proficiency in Python/C++ and ML frameworks. Experience with LLMOps and fine-tuning large models is preferred.
ServePost-trainEngineeringOffice, WAMar 67
Senior Machine Learning Engineer II
Senior Machine Learning Engineer II at Axon focused on architecting and implementing on-device AI solutions for edge devices. This role involves optimizing models for limited memory and connectivity, enabling continuous improvement, and implementing model compression techniques. Collaboration with scientists and device engineers is key to bringing AI capabilities to Axon products.
ServeDataEngineeringOffice, WAFeb 27
Senior Machine Learning Engineer
Senior Machine Learning Engineer at Axon focused on developing and deploying AI solutions for public safety. The role involves architecting and developing secure, privacy-preserving solutions for continuous improvement of AI models, architecting platforms to accelerate research and AI product development, and collaborating on state-of-the-art training techniques. Experience with LLMOps, fine-tuning, and model encryption is desired. The role supports the training, evaluation, testing, and deployment of ML models on Axon devices and cloud, covering computer vision, speech recognition, and natural language understanding.
ServePost-trainEngineeringOffice, WAJan 137
Senior Machine Learning Engineer
Senior Machine Learning Engineer role focused on designing and implementing high-performance C++ software for real-time computer vision and tracking algorithms on edge devices. The role involves optimizing CUDA kernels, building parallel processing pipelines, and integrating ML models into production, with a strong emphasis on performance and memory management in constrained environments.
ServePost-trainEngineeringSterling, VADec '257