Top Machine Learning Jobs in Pensacola, FL

Deepgram is seeking an experienced Research Scientist to work on building models in the voice AI domain. The role involves developing accurate and performant voice AI models using deep learning techniques. The candidate should have experience in areas such as automatic speech recognition, text-to-speech, diarization and speaker identification, language detection, and code switching. They should also have expertise in speech data curation, neural network architectures for speech, distributed training, and model optimization.

Lead the development of AI and Machine Learning solutions to improve enterprise services user experience and workflow efficiency. Collaborate with a team of researchers, scientists, engineers, and product managers to build innovative solutions for enterprise customers around the world.

Machine Learning Engineer responsible for developing production machine learning algorithms and recommendation systems. Collaborates with Data Scientists and Product Managers to enhance user experiences and provide valuable input into functional design. Preferred experience in using machine learning for recommendations and personalization.

As a Senior Engineering Manager, you will lead a team of engineers to build Dropbox's AI offering, Dash. You will drive product monetization and revenue generation while fostering a collaborative culture. Your responsibilities include team development, decision-making based on data insights, and contributing to technical and product strategies. The role requires a strong background in software engineering, distributed systems, and backend infrastructure. Preferred qualifications include a PhD in Computer Science and experience in machine learning.

Senior Software Engineer focused on ML Infrastructure at Thumbtack. Responsible for centralizing, standardizing, and evolving machine learning infrastructure capabilities. Collaborate with engineers, scientists, and product managers to execute on the shared vision for generative AI, feature platforms, model deployment, and monitoring.

This role involves driving the robotics aspects of the Simulation Smart Agents software stack, collaborating with specialists to deploy algorithms and ML models, optimizing ML and system pipelines, improving data pipelines, defining metrics for evaluation, and closing gaps in tooling for accelerated engineering velocity within Simulation.