Plaud.ai
Machine Learning Engineer, Model Evaluations (Speech LLM) - San Francisco
San Francisco, CA · Mid · Full-time
Sponsorship not specified$200k-$365kDetected 75 days ago
PythonDistributed SystemsMachine LearningData EngineeringLLMsStatisticsComplianceCadencePro ToolsHIPAAExperimental DesignLeadershipCollaboration
About the role
- Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human-AI intelligence through a hardware-software combination.
- With full ISO 27001, ISO 27701, SOC 2, GDPR, EN18031, and HIPAA compliances, Plaud is committed to the highest standards of data security and privacy protection.
- Plaud is and will continue to be an equal opportunity employer.
Responsibilities
- Managing large-scale crowdsourcing operations or preference data collection to support RLHF/DPO efforts.
- A strong background in statistics and experimental design, paired with experience building trusted tracking dashboards (e.g., Weights & Biases, MLflow).
- Possess strong software engineering skills (especially in Python) and have experience building reliable distributed systems, data pipelines, or evaluation harnesses that can run at scale against live model checkpoints.
Compensation
- $200K - $365K base salary + performance bonus + Equity.
- Choice of top-of-the-line laptops/workstations, annual offsites, and a fully stocked office.
Benefits
- Founding Team Initiative: Opportunity to be an early, foundational member of our core SpeechLLM lab, with meaningful ownership and impact on a fast-growing startup.
- Competitive Compensation: $200K - $365K base salary + performance bonus + Equity.
- Comprehensive Benefits: Top-tier healthcare for employees and dependents, including dental and vision, and a generous employer subsidy.
- Retirement Planning: 401(k) plan for full-time employees with company matching.
- Paid Time Off: Unlimited PTO, plus 13 paid holidays.
- New Parent Leave: 12 weeks of paid time off to spend time with your new family, regardless of gender.
- Gear & Perks: Choice of top-of-the-line laptops/workstations, annual offsites, and a fully stocked office.
- We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics.
- Grow your career in a culture that champions continuous learning and fast career development.
- Are comfortable building and owning dashboards that track model health during training, improving signal-to-noise ratios, reducing evaluation latency, and making performance regressions impossible to miss.
Equal opportunity
- equal opportunity employer.
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