ML Engineer – Real-Time Audio AI & Production Systems

Catalyst Labs; San Francisco (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

A forward-thinking AI startup is looking for an ML Engineer to design and deploy advanced machine learning systems with ownership from conception to deployment. The successful candidate will work with cross-functional teams to drive innovation in AI solutions and optimize ML models focused on audio data. Ideal qualifications include a degree in a related field and 1-6 years of professional experience with strong programming skills in Python. Benefits include above-market compensation, bonus, and equity.

Qualifications

• 1-6 years of experience in ML engineering.
• Strong programming skills in Python.
• Hands-on experience with ML frameworks like PyTorch or TensorFlow.

Responsibilities

• Design, build, and deploy production-grade ML systems.
• Collaborate with cross-functional teams to innovate in AI solutions.
• Handle the entire AI lifecycle in production environments.

Skills

Programming in Python

Experience with ML frameworks

Customer engagement skills

Real-time inference knowledge

Data pipeline design

Education

Bachelor's or Master's in Computer Science, ML, AI, or related field

Tools

PyTorch

TensorFlow

AWS

FastAPI

PostgreSQL

Job description

A forward-thinking AI startup is looking for an ML Engineer to design and deploy advanced machine learning systems with ownership from conception to deployment. The successful candidate will work with cross-functional teams to drive innovation in AI solutions and optimize ML models focused on audio data. Ideal qualifications include a degree in a related field and 1-6 years of professional experience with strong programming skills in Python. Benefits include above-market compensation, bonus, and equity.