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Full-time
Posted 32d ago
~40 hrs/week
Responsibilities
You will design and implement rigorous evaluation frameworks and benchmarking systems to assess the performance of Speech AI models. This involves building production-ready pipelines, conducting behavioral experiments, and partnering with research teams to integrate evaluation into the development lifecycle.
Requirements
The ideal candidate has experience designing evaluation frameworks for generative models and possesses strong technical skills in building production-ready systems. A background in audio modeling and the ability to define novel, quantitative metrics for subjective qualities are highly valued.
Full job description
About the Role
Sanas is building a full Speech AI suite, all working together as one platform. As that surface area grows, so does the need for a single, rigorous owner of how we know everything is working.
As Evaluations Lead, you'll design the evaluation frameworks and benchmarking systems that answer that question — sitting at the intersection of research, product, and infrastructure to build the metrics, systems, and studies that hold our models accountable. This role suits someone who pairs scientific rigor with real technical execution. Your work will shape how Sanas builds and evaluates its models across every one of these products, making sure progress is measured not just by static benchmarks, but by the harder, more meaningful qualities — understanding, naturalness, and adaptability in real-world interaction.
Your Impact
Identify and define the model capabilities and behaviors that actually matter for evaluation — not just what's easy to measure
Build and ship evaluation pipelines with robust statistical analysis and clear, actionable reporting
Partner directly with model training and research teams to embed evaluation into the development loop itself
Prototype new user studies and behavioral experiments that ground evaluation in how these models actually get used
What You Bring
Experience designing or implementing evaluation frameworks for generative models — audio, text, or multimodal
Strong technical and analytical skills, with the ability to take an open-ended research idea and turn it into a production-ready system
Creativity in defining novel, quantitative metrics for qualities that are inherently subjective
Genuine excitement for building evaluation systems that bridge research and real-world use
Equal parts curious and rigorous — driven by actually figuring out how to measure meaningful progress, not just reporting a number
The ability to build it yourself. This is an engineering role — you'll be writing the pipelines and tooling, not just specifying them
Nice-to-Haves
AI modeling experience — someone who has trained, fine-tuned, or shipped models themselves brings a level of judgment to evaluation design that's hard to substitute, and is highly valued for this role
Background in audio modeling — Speech-to-Text, Text-to-Speech, or similar
Multilingual — especially relevant for evaluating multilingual systems, where understanding the semantic nuance across languages, not just the literal accuracy, is core to getting evaluation right
Sanas is the world's first and most trusted real-time Speech AI platform.
We are the real-time speech layer for the modern world, making conversations between people clear, natural, and scalable.
Offices: 585 Hamilton, Palo Alto, California 94301, US
Information TechnologyTranslation ServiceLanguage LearningSoftwareSaaSArtificial Intelligence (AI)
How much do Engineering jobs in Palo Alto, CA pay?
Based on 734 listings with disclosed salaries, most engineering jobs in Palo Alto, CA pay between $100k–$261k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Palo Alto, CA right now?
There are currently 915 open engineering positions in Palo Alto, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Palo Alto, CA?
Companies currently hiring include Rivian, Ford Motor Company, SpaceX, Rivian and Volkswagen Group Technologies, Amazon, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Palo Alto, CA?
Yes — 387 of the 915 open engineering positions offer remote or hybrid work (56 remote, 331 hybrid).
How do I apply for Engineering jobs in Palo Alto, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.