Machine Learning Engineer(Remote)

Overview

Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - long term

Skills

Skype
NATURAL
Cross-browser
Accessibility
User Experience
Google Chrome
Firefox
Customization
Laptop
Tablet
Smartphones
Product Design
Multilingual
Speech Processing
API
Interfaces
Benchmarking
Voice Recognition
Training
Speech Recognition
Artificial Intelligence
Natural Language Processing
Machine Learning (ML)
Adaptability
Collaboration
Agile
Workflow
Innovation
Problem Solving
Conflict Resolution
Web Browsers
Computer Science
Electrical Engineering
Human-computer Interaction
Oracle UCM
SANS
OM
WebKit
IMG

Job Details

Machine Learning(Remote)
Interview:Phone+Skype
Job Description:
We're seeking a Machine Learning to design and implement speech-driven interfaces that work seamlessly across major browsers. This role focuses on tailoring and extending Web Speech APIs and related technologies to deliver accurate, responsive, and user-friendly voice recognition experiences. You'll help us unlock natural voice interaction for our products, ensuring accessibility, speed, and reliability across platforms. Will be contract only, starting out as 6 months could be longer,
The Voice Recognition Engineer will design and optimize browser-based speech interfaces, focusing on cross-browser compatibility and accuracy. They will collaborate with product teams to enhance accessibility and user experience, leveraging and extending Web Speech APIs to deliver reliable voice interactions across platforms.
2. Required Skills and Experience
Experience applying voice recognition technologies across multiple browsers (Chrome, Edge, Safari, Firefox, and others)
Proficiency in tailoring and customizing Web Speech API and related frameworks
Demonstrated ability to improve speech recognition speed, accuracy, and noise resilience
Strong understanding of cross-device compatibility for desktops, laptops, tablets, and smartphones
Collaborative experience working with product, design, and technical teams to integrate voice features
Proven track record in optimizing speech recognition for real-world, noisy environments
Ability to support multilingual voice recognition and configurable speech duration features
3. Desired Skills and Experience
Knowledge of alternative speech processing frameworks beyond Web Speech API (e.g., Kaldi, DeepSpeech)
Experience in building accessible and inclusive voice-driven interfaces
Familiarity with performance benchmarking and model refinement for voice recognition
Certifications or training in speech recognition, AI, or related fields
Domain expertise in natural language processing (NLP) or machine learning techniques for speech
4. Preferred Qualifications
Demonstrated adaptability to various collaboration environments and Agile workflows
Passion for innovation in voice interaction technologies
Strong problem-solving and troubleshooting skills in browser compatibility
5. Required Education
Bachelor's degree in Computer Science, Electrical Engineering, Human-Computer Interaction, or related field


Himanshu Goswami

Sr. IT Technical Recruiter

Stellent IT Phone:

Email: Himanshu.goswami
Gtalk: Himanshu.goswamiom

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