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Catalyst Acoustics Jobs (NOW HIRING)

Gensler

Architect - Healthcare

Miami, FL · On-site

We seek thoughtful, curious partners who share our belief that design can be a catalyst for better ... acoustics, accessibility, building envelope, and life safety * Collaborate closely with project ...

Gensler

Architect - Healthcare

Tampa, FL · On-site

We seek thoughtful, curious partners who share our belief that design can be a catalyst for better ... acoustics, accessibility, building envelope, and life safety * Collaborate closely with project ...

Gensler

Architect - Healthcare

Miami, FL · On-site

We seek thoughtful, curious partners who share our belief that design can be a catalyst for better ... acoustics, accessibility, building envelope, and life safety * Collaborate closely with project ...

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All JobsCatalyst Acoustics Jobs

Catalyst Acoustics information

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$57K

$100.3K

$159K

How much do catalyst acoustics jobs pay per year?

As of Jun 12, 2026, the average yearly pay for catalyst acoustics in the United States is $100,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What are Catalyst Acoustics?

Catalyst Acoustics refers to a group of companies under Catalyst Acoustics Group that specialize in designing and manufacturing innovative acoustic solutions for commercial, educational, and industrial environments. These solutions include sound-absorbing panels, ceilings, wall systems, and other products that help control noise and improve sound quality in buildings. The group comprises several leading brands in the acoustics industry, offering a wide range of customizable options for architects, designers, and facility managers. Their products are often used in offices, schools, healthcare facilities, and auditoriums to create comfortable and productive spaces.

What are the key skills and qualifications needed to thrive as an Acoustics Engineer, and why are they important?

To thrive as an Acoustics Engineer, you need a strong background in physics, mathematics, and acoustical engineering, typically supported by a relevant engineering degree. Familiarity with acoustic modeling software, measurement tools, and certifications such as INCE Board Certification are often required. Excellent problem-solving, communication, and teamwork skills help you collaborate with architects, clients, and other engineers. These competencies ensure effective design, analysis, and implementation of acoustical solutions for optimal sound quality and regulatory compliance.

How does a professional in the Catalyst Acoustics field typically collaborate with architects and construction teams during a project?

Professionals working in Catalyst Acoustics frequently collaborate with architects, engineers, and construction teams to ensure that acoustic solutions are integrated effectively from the design phase through project completion. This involves attending design meetings, reviewing blueprints, and providing technical recommendations to address sound control and acoustic quality requirements. Clear communication and proactive problem-solving are essential, as acoustic considerations often influence material selection and structural decisions. Building strong relationships with project stakeholders helps ensure that the final environment meets both functional and aesthetic goals.

What is the difference between Catalyst Acoustics vs Acoustic Consultant?

AspectCatalyst AcousticsAcoustic Consultant
CredentialsTypically requires engineering or acoustics certifications, degrees in related fieldsOften holds degrees in acoustics, engineering, or physics; may have certifications like ASA
Work EnvironmentDesign firms, construction sites, manufacturing facilitiesArchitectural firms, consulting agencies, construction projects
Industry UsageUsed in building design, noise control, soundproofing projectsProvides expert advice on acoustics for buildings, theaters, and industrial spaces

While both roles focus on acoustics, Catalyst Acoustics often refers to a company or team specializing in sound design and noise control, whereas an Acoustic Consultant is a professional providing expert advice on acoustical issues. The main difference lies in the context: Catalyst Acoustics may be a specific firm, while an Acoustic Consultant is a job title held by individuals across various organizations.

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Catalyst Acoustics jobs near you

Research Scientist (Model Evaluation)

Sanas

Palo Alto, CA • On-site

Full-time

Posted 6 days ago

Job description

Sanas is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world's first real-time speech AI platform capable of accent translation, noise cancellation, speech enhancement, cross-language communication, and more.
Sanas makes conversations clearer, more inclusive, and more effective, removing barriers that prevent people from being understood, regardless of accent, background noise, or native language.
Sanas is currently one of the fastest growing startups in Silicon Valley, growing from $16M to $50M ARR in 2025. The company's core business is profitable and is on track to end 2026 with >$120M ARR. Our team combines deep expertise in model innovation and systems engineering with a design-minded product engineering culture to build and ship cutting-edge AI models and experiences - entirely in-house.
Sanas is a 180-strong team, established in 2020. In this short span, we've successfully secured over $100 million in funding. Our innovation has been supported by the industry's leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you're not just adopting a product; you're investing in the future of communication.
If you're looking to have a significant role in roadmapping and driving technical directions, if you're looking to deploy challenging and big ideas without much overhead or slowness, if you're looking to leave your mark on an ambitious, generational mission to change how the worlds thinks about speech + AI, then Sanas is a well-suited place for you.
About the Role
Progress in speech AI is only as meaningful as our ability to measure it. At Sanas, model quality spans dimensions that automated metrics struggle to capture - accent naturalness, perceptual clarity, speaker identity preservation, noise suppression without speech distortion, translation fluency under real-world disfluency. We're looking for a Research Scientist who can define what "better" actually means across all of Sanas's model families, build the evaluation infrastructure to measure it rigorously, and close the loop between research progress and real-world impact. This role sits at the intersection of research, product, and infrastructure - and directly shapes how every model team at Sanas measures progress.
Job Description
Evaluation framework design
  • Design and own evaluation frameworks across Sanas's full model portfolio - Accent Translation, Noise Cancellation, Speech Enhancement, and Language Translation, and more - ensuring each captures meaningful progress, not just benchmark performance.
  • Develop novel quantitative metrics for subjective and perceptual qualities: accent similarity, naturalness, speaker identity preservation, intelligibility under noise, and translation fluency in spoken-language domains.
  • Build evaluation systems that bridge automated metrics and human judgment - designing listening studies, MOS/MUSHRA protocols, and preference tests that are statistically rigorous and operationally scalable.
  • Define evaluation splits, test sets, and benchmark suites that accurately reflect production conditions - diverse accents, languages, noise environments, recording devices, and telephony codecs.

Evaluation infrastructure & tooling
  • Build and maintain automated evaluation pipelines that run continuously against model checkpoints - surfacing regressions early and tracking quality trends across training runs.
  • Develop reference-based and reference-free metrics calibrated to Sanas's specific model tasks: SI-SDR, PESQ, STOI, DNSMOS, speaker similarity, WER delta, COMET, and task-specific custom metrics where off-the-shelf measures fall short.
  • Instrument model quality monitoring in production - detecting degradation across language pairs, accent profiles, and acoustic conditions in live customer traffic.
  • Build tooling that allows research scientists and ML engineers to run rigorous ablations, compare model versions, and understand quality tradeoffs without needing to design the evaluation from scratch each time.

Human evaluation & research
  • Design and operate human evaluation programs - listener panels, crowdsourced annotation, and expert evaluator workflows - that produce reliable signal on dimensions automated metrics cannot capture.
  • Conduct research into evaluation methodology itself: when do automated metrics correlate with human perception, when do they diverge, and what does that tell us about model behavior?
  • Partner directly with research scientists across model teams to translate open-ended quality questions into concrete, measurable evaluation protocols.

Cross-functional impact
  • Work closely with ML research, product, and customer success teams to ensure evaluation reflects what customers actually experience - not just what lab conditions optimize for.
  • Feed evaluation insights back into data acquisition and model training priorities - identifying which failure modes require more data, architectural changes, or training procedure improvements.
  • Communicate evaluation results clearly to both technical and non-technical stakeholders, translating metric movements into product quality narratives that inform roadmap decisions.

Qualifications
  • 4+ years of research or applied research experience in speech, audio, or NLP, with a demonstrated focus on evaluation methodology and quality measurement.
  • Deep familiarity with speech and audio quality metrics - perceptual (MOS, MUSHRA, PESQ, STOI), signal-level (SI-SDR, SNR), and task-specific (WER, speaker similarity, DNSMOS) - and an understanding of when each is and isn't the right tool.
  • Experience designing and running human evaluation studies - listener panels, crowdsourced annotation, inter-annotator agreement analysis - with statistical rigor.
  • Strong engineering skills: you can build production-quality evaluation pipelines, not just run scripts. Proficiency in Python and PyTorch or equivalent.
  • Creativity in defining novel quantitative metrics for subjective or behavioral qualities - you've identified gaps in existing evaluation approaches and built something better.
  • Ability to take open-ended research questions and translate them into concrete, measurable evaluation systems that run reliably at scale.
  • Curiosity and rigor in equal measure - you're as motivated by discovering the right way to measure progress as by the progress itself.

Bonus
  • Experience evaluating models across multiple speech tasks - ASR, TTS, speech enhancement, speaker verification, or machine translation.
  • Familiarity with real-time or streaming model evaluation - latency-quality tradeoffs, codec-degraded audio, telephony channel conditions.
  • Background in psychoacoustics or perceptual audio quality - understanding of how humans perceive speech naturalness, noise, and distortion.
  • Experience with multilingual evaluation - cross-lingual quality metrics, language-specific annotation challenges, low-resource language evaluation.
  • Published research at INTERSPEECH, ICASSP, ACL, EMNLP, or equivalent venues on evaluation methodology, speech quality, or related topics.

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