AKASA

HQ
South San Francisco, California, USA
Total Offices: 3
100 Total Employees
Year Founded: 2019
Jobs at AKASA
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Recently posted jobs

11 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
As a Software Engineer on the Data Platform team, you will develop data pipelines for ML training, maintain infrastructure, and support product development and analytics.
24 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
As a Sr. Software Engineer, Backend, you will develop AI-powered solutions for clinical documentation and medical coding, collaborating with cross-functional teams to enhance SaaS products and deliver actionable insights for healthcare organizations.
5 Days AgoSaved
Remote
United States
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
The Director, Sales will build relationships with healthcare executives, drive sales strategies, and lead the entire sales cycle to achieve targets.
8 Days AgoSaved
Remote or Hybrid
United States
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
Lead the Machine Learning Engineering team at AKASA, focusing on improving ML capabilities, model deployment, and infrastructure development, while managing and mentoring engineers.
15 Days AgoSaved
Remote
United States
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.
19 Days AgoSaved
Remote
United States
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.