What are the responsibilities and job description for the Staff Machine Learning Engineer, Applied AI position at Drive Health?
What You’ll Do
Experience with voice AI, including optimizing speech-to-text (STT) and text-to-speech (TTS) models.
Familiarity with orchestration frameworks such as LangGraph.
Experience working with healthcare data and understanding the unique challenges of regulated environments.
- Lead high-impact AI initiatives, building and deploying advanced algorithms to tackle meaningful challenges in healthcare.
- Design and implement innovative techniques that ensure conversational voice agents are safe, accurate, empathetic, and reliable.
- Develop LLM-powered voice AI systems that deliver natural, human-like experiences.
- Partner closely with cross-functional teams to make decisions, move quickly, and deliver results in a fast-paced environment.
- Lead a talented team of ML engineers and scientists, fostering a culture of collaboration and excellence.
- Stay ahead of trends in generative AI, identifying and integrating the right technologies safely and effectively.
- 10 years of hands-on experience in machine learning, including at least 6 years in NLP model development and evaluation.
- 3 years of experience improving factual accuracy and reducing hallucinations using approaches like PEFT or grounding models.
- 3 years of proven technical leadership experience, leading teams of 4–6 ML engineers/scientists, in a startup or fast-moving environment.
- Strong programming skills in Python and deep learning frameworks.
- A collaborative, self-motivated mindset with the ability to navigate ambiguity and drive progress from concept to execution.
Experience with voice AI, including optimizing speech-to-text (STT) and text-to-speech (TTS) models.
Familiarity with orchestration frameworks such as LangGraph.
Experience working with healthcare data and understanding the unique challenges of regulated environments.