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Top AI & Machine Learning Jobs in Austin, TX

8 Days AgoSaved
In-Office or Remote
USA
150K-250K Annually
Mid level
150K-250K Annually
Mid level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.
Top Skills: DockerKubernetesMachine LearningMlflowPrefectSpeech-To-TextText-To-Speech
Reposted 9 Days AgoSaved
In-Office or Remote
USA
150K-220K Annually
Mid level
150K-220K Annually
Mid level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
As a Data Scientist at Deepgram, you'll tackle complex audio data challenges, develop scalable data pipelines, and collaborate with teams to advance voice AI technologies.
Top Skills: Data ProcessingDeep LearningPythonPyTorchSignals ProcessingStatistical Methods
Reposted 11 Days AgoSaved
Remote
USA
Senior level
Senior level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Lead design and delivery of an agent-based Intelligence Layer that autonomously analyzes product, usage, and revenue data. Build AI-augmented workflows, define semantic/data contracts, leverage voice models to extract insights from audio, advise CEO/Board on unit economics and NRR, and hire a small elite analytics engineering team.
Top Skills: Data WarehouseDbtHexLlmsPythonReal-Time Billing SystemsSQLVoice Ai
Reposted 12 Days AgoSaved
In-Office or Remote
USA
150K-250K Annually
Mid level
150K-250K Annually
Mid level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.
Top Skills: Distributed ComputingLarge Language ModelsPythonPyTorchTransformer Architectures
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