Applied Audio ML Engineer: Post-Training & On-Device
Liquid AI
San Francisco (CA)
On-site
USD 180,000 - 260,000
Full time
14 days+
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Benefits offered by this job
Competitive base salary
Equity in a unicorn-stage company
100% paid health premiums
401(k) matching
Unlimited PTO and Refill Days
Job summary
A cutting-edge AI company is seeking a technical owner to lead post-training projects for their audio models. The role requires translating customer needs into specifications, designing function calling capabilities, and performing evaluations for production use. Candidates should have hands-on experience in language models and data generation pipelines. The position offers competitive compensation, including equity, health benefits, and unlimited PTO, making it an excellent opportunity to shape applied audio AI in a fast-growing company.
Qualifications
Hands-on experience with post-training for language models.
Experience with data generation and evaluation pipelines.
Strong intuition for data quality and evaluation design.
Familiarity with function calling or structured output training.
Responsibilities
Act as the technical owner for enterprise audio post-training engagements.
Translate customer requirements into specifications for audio models.
Design function calling capabilities for audio models.
Run supervised fine-tuning and reinforcement learning workflows.
Design evaluations for audio function calling.
Skills
Ownership
Pragmatism
Data Quality Awareness
End-to-End Thinking
Thrives under Constraints
Job description
A cutting-edge AI company is seeking a technical owner to lead post-training projects for their audio models. The role requires translating customer needs into specifications, designing function calling capabilities, and performing evaluations for production use. Candidates should have hands-on experience in language models and data generation pipelines. The position offers competitive compensation, including equity, health benefits, and unlimited PTO, making it an excellent opportunity to shape applied audio AI in a fast-growing company.