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Currently tracking 4 active AI roles, up 33% versus the prior 4 weeks. Primary focus: Post-train · Research. Salary range $130k–$350k (avg $229k).

Hiring
4 / 4
Momentum (4w)
↑+1 +33%
4 opens last 4w · 3 prior 4w
Salary range · avg $229k
$130k–$350k
USD · disclosed roles only
Tracked since
Feb '24
last role 6w ago
Hiring velocityscroll left for older weeks
1 new role
Feb 19
1 new role
26
1 new role
Mar 4
1 new role
Jun 16
1 new role
Aug 4
1 new role
Oct 6
1 new role
Jan 12

Frequently asked questions

  • What AI roles is Hume AI hiring for?

    Hume AI currently has 4 active AI-related roles in our index. The most common open titles are: AI Researcher, Open Role, Senior Platform Engineer, Senior/Staff AI Research Engineer. Most positions are in Research and Engineering.

  • What stage of AI development does Hume AI focus on?

    Hume AI's active AI hiring is concentrated in: post-training (75%), serving infrastructure (25%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Hume AI hiring AI talent?

    Hume AI is hiring AI talent in: United States (4 roles).

  • What technologies does Hume AI's AI team work with?

    Job postings at Hume AI most frequently reference: model serving, inference infra, audio speech, fine tuning, rl post training.

Jobs (3)

4 AI · 4 total active
FilteredStagePost-train×
Show
Active onlyAI only (≥ 7)
Stage
AllPost-train · 3Serve · 1
Function
AllEngineering · 2Research · 2
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
AI Researcher
AI Researcher at Hume AI focused on building state-of-the-art speech-language models (SLMs) using novel training methods like reinforcement learning from human expression (RLHE). The role involves distributed model training, inference, benchmarking, and large-scale data handling to optimize AI for human well-being and emotional expression.
Post-trainServeResearchNew York, NY +1 · RemoteJun '259
Open Role
Hume AI is a Series B startup focused on developing AI optimized for human well-being, specifically in speech-language models for voice generation and empathic AI assistants. They are building foundational models that understand and generate emotional expression in voice, aiming to be conversational and empathetic. The company also engages in scientific research and ethical guideline development for empathic AI.
Post-trainServeResearchNew York, NY +1 · RemoteFeb '249
Senior/Staff AI Research Engineer
This role focuses on building and scaling state-of-the-art speech-language models (SLMs) using novel training methods like reinforcement learning from human expression (RLHE). The work involves supporting distributed model training, inference, and benchmarking, as well as large-scale data processing, with a goal of optimizing AI for human well-being and emotional expression.
Post-trainServeEngineeringNew York, NY +1 · RemoteFeb '249