Job description

Job Title: Senior Embedded Machine Learning Engineer - Audio2Audio and Speech Recognition

Job Description:

We seek a highly skilled Embedded Machine Learning Engineer with extensive experience in audio2audio and speech recognition models. In this role, you will be responsible for designing and implementing machine learning models for our cutting-edge edge devices and mobile applications. This is a high-priority opening, and we are interested in candidates who can join immediately. We provide great benefits and a competitive salary.

Responsibilities:

• Design and implement machine learning models for audio2audio and speech recognition on edge devices and mobile applications
• Optimize machine learning models for performance, accuracy, and memory footprint.
• Work closely with software and hardware engineers to integrate machine learning models into our products
• Conduct experiments to test and validate the performance of the ML models
• Research and stay up-to-date with the latest ML techniques and algorithms
• Present findings and provide recommendations to the team and management
• Develop and maintain documentation of machine learning models and processes
• Collaborate with cross-functional teams to deliver high-quality products

Required Qualifications:

• BSc in Computer Science, Electrical Engineering, or a related field
• 5+ years of experience in machine learning with a focus on audio2audio and speech recognition
• Experience with embedding machine learning models on edge devices and mobile applications
• Strong proficiency in Python and C (optional C++ or Rust)
• Familiarity with ML-OPS systems such as WeightsAndBiases and/or ClearML
• Strong proficiency with machine learning frameworks such as TensorFlow, JAX, and PyTorch
• Experience with Tensorflow Lite and PyTorch Mobile
• Excellent problem-solving skills and attention to detail
• Experience with deploying ML models within iOS and Android applications

Preferred Qualifications:

• PhD or MSc in Computer Science, Electrical Engineering, or a related field
• 8+ years of experience in machine learning with a focus on audio2audio and speech recognition
• Strong background in signal processing and digital audio theory
• Strong portfolio of relevant projects demonstrating your expertise in audio2audio and speech recognition
• Publications in reputable ML/Speech conferences such as NeurIPS, AAAI, Interspeech, ICASSP, EMNLP, ASRU
• Familiarity with modern chips for Hearables, such as Snapdragon Wear, Greenwaves GAP9, etc.

This is an exciting opportunity to work on cutting-edge products with a highly skilled team of engineers. If you have a passion for machine learning and are experienced with audio2audio and speech recognition, we encourage you to apply. Please include your portfolio of relevant projects and any optional requirements you meet with your application.

Job Type: Full-time

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Parental leave
• Vision insurance

Schedule:

• Choose your own hours
• Monday to Friday

Ability to commute/relocate:

• Somerville, MA 02143: Reliably commute or planning to relocate before starting work (Required)

Experience:

• Machine learning: 5 years (Required)

Work Location: Hybrid remote in Somerville, MA 02143

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