Senior Applied Scientist

Ovii's Interpretation of the Role

The Senior Applied Scientist will design and ship AI‑powered voice and LLM pipelines that turn real‑time speech into structured intelligence. The role blends applied research with production engineering, collaborating across engineering and product to deliver high‑availability, low‑latency AI services for revenue teams.

Role Snapshot

• Applied ML research & production
• Voice‑AI pipeline engineering
• LLM‑based NLP systems
• High‑availability AI services
• Cross‑team stakeholder collaboration
• Rapid prototyping of ambiguous problems
• Scalable cloud deployment

Must-Have Requirements

• Python
• Java or Go or C++
• Machine Learning
• Natural Language Processing
• Large Language Model architectures
• Statistics and experiment design
• Cloud‑based AI application development
• machine learning implementation
• NLP system development
• LLM‑based architectures
• Master’s Degree or PhD in computer science, machine learning, or related discipline

Nice-to-Have Signals

• Speech‑to‑text systems
• Agentic AI frameworks
• Low‑latency ML serving infrastructure
• speech‑to‑text processing
• low‑latency ML serving

Work Setup

• Location: Seattle, USA
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Not Specified in JD

• Remote eligibility

What You'll Likely Work On

• Build AI pipelines that ingest voice streams and real‑time transcriptions to generate structured insights.
• Engineer high‑availability, low‑latency services across distributed components for reliable agentic workflows.
• Prototype and iterate on LLM‑driven solutions to solve ambiguous, high‑impact problems.
• Optimize model architecture and service orchestration to maximize ROI and performance.
• Collaborate with product, engineering, and customer stakeholders to deliver AI capabilities that meet platform needs.
• Deploy cloud‑native AI applications and maintain continuous‑deployment pipelines.

Good Fit If You Have

• Thrives in fast‑moving, high‑impact environments.
• Enjoys collaborative problem solving with engineers and product managers.
• Passionate about data, experimentation, and statistical rigor.