1

Audio Speech Machine Learning Jobs in Michigan (NOW HIRING)

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

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 ...

Senior Engineer, AI

Novi, MI · On-site

$98K - $134K/yr

Artificial Intelligence & Machine Learning Worker Type Reference: Regular - Permanent Pay Rate Type ... Engineer audio systems and integrated technology platforms that augment the driving experience

Hear speech, speak loudly / softly; Distinguish sounds, colors, hot / cold surfaces, temperatures ... audio/visual equipment and electro physiological recording equipment. Sets up computer and ...

next page

Showing results 1-20

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:
Infographic showing various Audio Speech Machine Learning job openings in Michigan as of June 2026, with employment types broken down into 12% Internship, 64% Full Time, 12% Part Time, and 12% Temporary. Highlights an 100% In-person job distribution.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Canopy

Detroit, MI

$95K - $131K/yr

Other

Posted 20 days ago


Hilton Grand Vacations rating

6.8

Company rating: 6.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

5th of 21 rated holiday rentals


Job description

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat vehicle and content theft. In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior engineers, and influencing system architecture decisions. This is a high-impact role with visibility across engineering and product leadership.

Responsibilities:
  • Contribute to the design, development, and deployment of robust machine learning models for production use in real-world security applications.
  • Develop within the full machine learning lifecycle; from problem definition to data pipeline design, model development, validation, deployment, and monitoring.
  • Establish and refine best practices in our ML system architecture, CI/CD pipelines for ML, and reproducible research methodologies.
  • Collaborate with cross-functional stakeholders including product managers, data engineers, and MLOps teams to ensure seamless model integration and delivery.
  • Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar, accelerometer) to derive insights and guide modeling strategies.
  • Stay ahead of industry advancements in machine learning, AI sensing, and signal processing, incorporating the latest innovations into Canopy's technology stack.
  • Mentor and guide junior engineers and contribute to the hiring process and technical reviews.

What Hilton Grand Vacations employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom