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Audio Speech Machine Learning Jobs in Michigan (NOW HIRING)

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar ...

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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?

AspectAudio Speech Machine LearningSpeech Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Data Analysis, Statistics, or related fields; experience with data tools
Work EnvironmentResearch labs, tech companies, AI startupsData analysis teams, research institutions, tech firms
Industry UsageDeveloping speech recognition, voice assistants, NLP applicationsAnalyzing 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 Michigan? For Audio Speech Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Audio Speech Machine Learning jobs in Michigan look for? The top searched job categories for Audio Speech Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Audio Speech Machine Learning jobs? Cities in Michigan with the most Audio Speech Machine Learning job openings:
Audio Speech Machine Learning jobs near you
Infographic showing various Audio Speech Machine Learning job openings in Michigan as of July 2026, with employment types broken down into 77% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.
On-site Audio and Video Collection

On-site Audio and Video Collection

TELUS Digital

Detroit, MI

Full-time

Re-posted 2 days ago

TELUS Digital rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

92nd of 210 rated it services

Job description

Company Description

We help companies test and improve machine learning models via our global AI Community of 1 million+ annotators and linguists. Our proprietary AI training platform handles all data types (text, images, audio, video and geo) across 500+ languages and dialects. Our AI Data Solutions vastly enhance AI systems across a range of applications from advanced smart products, to better search results, to expanded speech recognition, to more human-like bot interactions and so much more.Learn more at http://www.telusinternational.com

Job Description

We're recruiting participants for an on-site study featuring audio and video recorded conversations at locations across the United States. To receive priority consideration, you must register with a family member or a friend to participate in one of our facilities:

  • Atlanta, GA
  • Boston, MA
  • Detroit, MI
  • Honolulu, HI
  • Hoboken, NJ
  • Los Angeles, CA

No prior experience or specialized skills required!

Compensation (per person)

  • 1.5 hour Onsite Session: $125
  • Bonus: $25 bonus for arriving 15 min early

Payments will be issued via Hyperwallet through the AI Community Manager Platform, where participants can choose PayPal, bank transfer, or Venmo as the payment method.

Qualifications
  • Consent to audio and video recording
  • Join the session together with a family member or friend
  • Be able to maintain a conversation in English
  • Be between 18-64+ years old
  • Be a U.S. citizen, lawful permanent resident, or authorized to work in the USA
  • Have a valid Social Security Number (SSN) or Taxpayer Identification Number (TIN) registered with the IRS

Additional Information

Interested? Register below to get started!

https://whitney.telusdigital.com/registration-form?source=12

What TELUS Digital employees say

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