ML Engineer – Real-Time Audio AI & Production Systems
Catalyst Labs
Mountain View (CA)
On-site
USD 90,000 - 130,000
Full time
14 days+
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Benefits offered by this job
Above market base salary
Bonus
Equity
Job summary
A growing AI technology startup is seeking an ML Engineer to design and deploy production-grade systems. The role involves using Python and collaborating with teams to optimize customer interactions through advanced AI applications. Candidates should have a degree in Computer Science or a related field and 1-6 years of experience in ML engineering, with proficiency in tools like PyTorch and TensorFlow. Strong communication skills are essential as you'll directly engage with customers to drive impactful solutions.
Qualifications
1-6 years of professional experience in ML engineering.
Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
Familiarity with cloud environments, preferably AWS.
Responsibilities
Design, build, and deploy production-grade ML systems with full model lifecycle ownership.
Collaborate with cross-functional teams on AI stack foundations.
Skills
Programming in Python
Machine Learning
Collaboration
Communication
Education
Bachelor’s or Master’s degree in Computer Science or related field
Tools
PyTorch
TensorFlow
AWS
FastAPI
Job description
A growing AI technology startup is seeking an ML Engineer to design and deploy production-grade systems. The role involves using Python and collaborating with teams to optimize customer interactions through advanced AI applications. Candidates should have a degree in Computer Science or a related field and 1-6 years of experience in ML engineering, with proficiency in tools like PyTorch and TensorFlow. Strong communication skills are essential as you'll directly engage with customers to drive impactful solutions.