Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world industrial ... Process, clean, and structure large-scale audio/time-series datasets * Align data with ground truth ...
Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world industrial ... Process, clean, and structure large-scale audio/time-series datasets * Align data with ground truth ...
Salary: Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world ... Process, clean, and structure large-scale audio/time-series datasets * Align data with ground truth ...
Quick apply
Salary: Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world ... Process, clean, and structure large-scale audio/time-series datasets * Align data with ground truth ...
Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world industrial ... Process, clean, and structure large-scale audio/time-series datasets * Align data with ground truth ...
Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world industrial ... Process, clean, and structure large-scale audio/time-series datasets * Align data with ground truth ...
This includes but is not limited to crafting creative techniques to analyze audio & video datasets, designing metrics to understand user behavior & evaluate performance of machine learning models.
This includes but is not limited to crafting creative techniques to analyze audio & video datasets, designing metrics to understand user behavior & evaluate performance of machine learning models.
Machine Learning Manager
Seattle, WA · On-site
$180K - $250K/yr
Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...
Machine Learning Manager
Seattle, WA · On-site
$180K - $250K/yr
Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...
Machine Learning Manager
$180K - $250K/yr
Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...
Machine Learning Manager
$180K - $250K/yr
Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...
Experience with psycho-acoustic metrics for speech quality and intelligibility * Experience ... Familiarity with audio algorithm development and/or machine learning techniques * 4+ years of ...
Experience with psycho-acoustic metrics for speech quality and intelligibility * Experience ... Familiarity with audio algorithm development and/or machine learning techniques * 4+ years of ...
Machine Learning Engineer
$120K - $180K/yr
You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...
Machine Learning Engineer
$120K - $180K/yr
You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...
Machine Learning Engineer
Seattle, WA · On-site
$120K - $180K/yr
You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...
Machine Learning Engineer
Seattle, WA · On-site
$120K - $180K/yr
You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...
... scale distributed machine learning systems. • Ability to deliver optimal end-to-end user ... audio/speech processing or music/audio generation experience is a plus where it supports video ...
... scale distributed machine learning systems. • Ability to deliver optimal end-to-end user ... audio/speech processing or music/audio generation experience is a plus where it supports video ...
... scale distributed machine learning systems. • Ability to deliver optimal end-to-end user ... audio/speech processing or music/audio generation experience is a plus where it supports video ...
... scale distributed machine learning systems. • Ability to deliver optimal end-to-end user ... audio/speech processing or music/audio generation experience is a plus where it supports video ...
... scale distributed machine learning systems. • Ability to deliver optimal end-to-end user ... audio/speech processing or music/audio generation experience is a plus where it supports video ...
... scale distributed machine learning systems. • Ability to deliver optimal end-to-end user ... audio/speech processing or music/audio generation experience is a plus where it supports video ...
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Quick apply
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Quick apply
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Project Perseus \u007C Speech & Voice AI Analyst- Swedish Speakers
Seattle, WA · On-site
$26 - $28/hr
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Quick apply
Project Perseus \u007C Speech & Voice AI Analyst- Swedish Speakers
Seattle, WA · On-site
$26 - $28/hr
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Member of Technical Staff - Imagine Model
Seattle, WA · On-site
$180K - $440K/yr
Experience developing or working with large-scale distributed machine learning systems. * Ability ... speech processing or music/audio generation experience is a plus where it supports video)
Quick apply
Member of Technical Staff - Imagine Model
Seattle, WA · On-site
$180K - $440K/yr
Experience developing or working with large-scale distributed machine learning systems. * Ability ... speech processing or music/audio generation experience is a plus where it supports video)
Project Perseus \u007C Speech & Voice AI Analyst - Spanish Speakers
Seattle, WA · On-site
$26 - $28/hr
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Quick apply
Project Perseus \u007C Speech & Voice AI Analyst - Spanish Speakers
Seattle, WA · On-site
$26 - $28/hr
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Quick apply
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Project Perseus \u007C Speech & Voice AI Analyst - Polish Speakers
Seattle, WA · On-site
$26 - $28/hr
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Quick apply
Project Perseus \u007C Speech & Voice AI Analyst - Polish Speakers
Seattle, WA · On-site
$26 - $28/hr
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Project Perseus \u007C Speech & Voice AI Analyst - Danish Speakers
Seattle, WA · On-site
$26 - $28/hr
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Quick apply
Project Perseus \u007C Speech & Voice AI Analyst - Danish Speakers
Seattle, WA · On-site
$26 - $28/hr
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Audio Speech Machine Learning information
What are some common challenges faced when developing machine learning models for audio speech applications?
A key challenge in audio speech machine learning roles is dealing with diverse and noisy audio data, which can significantly affect model accuracy. Additionally, models must be robust to different accents, languages, and speaking styles, requiring large and varied datasets for training and validation. Collaboration with data engineers, linguists, and software developers is often necessary to ensure high-quality data pipelines and model integration into production systems. Staying updated with the latest research and optimizing models for real-time performance are also ongoing aspects of the role.
What is an audio speech machine learning engineer?
An Audio Speech Machine Learning Engineer is a specialized professional who designs, develops, and implements machine learning models that process and analyze audio and speech data. Their work involves tasks like speech recognition, speaker identification, and audio event detection by leveraging algorithms and large datasets. These engineers collaborate with data scientists, software developers, and linguists to create applications such as voice assistants, transcription tools, and automated customer service systems. Expertise in signal processing, deep learning frameworks, and programming languages like Python is crucial for this role.
What is the difference between Audio Speech Machine Learning vs Speech Data Analyst?
| Aspect | Audio Speech Machine Learning | Speech Data Analyst |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related fields; knowledge of ML frameworks | Degree in Data Analysis, Statistics, or related fields; experience with data tools |
| Work Environment | Research labs, tech companies, AI startups | Data analysis teams, research institutions, tech firms |
| Industry Usage | Developing speech recognition, voice assistants, NLP applications | Analyzing speech datasets, improving speech models, reporting insights |
Audio Speech Machine Learning focuses on developing algorithms for speech recognition and processing, often involving model training and AI development. Speech Data Analysts interpret speech data, generate insights, and support model improvements. Both roles require strong analytical skills, but their core tasks differ: one builds models, the other analyzes data.
What are the key skills and qualifications needed to thrive as an audio speech machine learning engineer, and why are they important?
To thrive as an Audio Speech Machine Learning Engineer, you need a solid background in machine learning, signal processing, and programming (typically Python), along with a relevant degree in computer science or a related field. Familiarity with tools like TensorFlow or PyTorch, audio processing libraries (such as Librosa), and experience with speech datasets and ASR systems are commonly required. Critical soft skills include problem-solving, innovation, and effective communication for collaborating with cross-functional teams. These skills are essential to develop accurate, scalable speech recognition systems that advance voice-driven technology.
What are popular job titles related to Audio Speech Machine Learning jobs in Seattle, WA? For Audio Speech Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Audio Speech Machine Learning jobs in Seattle, WA look for? The top searched job categories for Audio Speech Machine Learning jobs in Seattle, WA are:
Full-time
Re-posted 9 days ago
Job description
Applied Machine Learning Intern
WaveWorks is building applied AI systems for real-world industrial environments. We are seeking a hands-on Applied Machine Learning Intern to work directly on live deployment data, develop modeling approaches, and take ownership of analysis for an active site.
RESPONSIBILITIES
- Process, clean, and structure large-scale audio/time-series datasets
- Align data with ground truth and validate data quality
- Develop and evaluate modeling approaches for predictive maintenance
- Design and run structured experiments, analyze results, and document findings
- Improve data workflows and evaluation pipelines
REQUIRED QUALIFICATIONS
- Pursuing a degree in Computer Science, Electrical Engineering, Data Science, or related field
- Strong Python skills
- Experience with ML frameworks (PyTorch, TensorFlow, or scikit-learn)
- Comfortable working with real-world, noisy datasets
- Strong analytical and documentation skills
PREFERRED QUALIFICATIONS
- MS or PhD candidate in a relevant technical field
- Experience with audio processing or time-series feature engineering
- Familiarity with anomaly detection
- Exposure to signal processing concepts (FFT, spectrograms, filtering)
- Experience designing and evaluating structured ML experiments
- Self-driven and comfortable operating in an early-stage environment
WaveWorks is committed to a friendly and welcoming working environment. WaveWorks does not discriminate based on race, gender, age, religious affiliation, or any other legally protected status.
WaveWorks is located in downtown Seattle, Washington.