Senior Machine Learning AI Engineer / Remote / Entertainment / Au...
Motion Recruitment - Los Angeles, California, United States, 90079
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Senior Machine Learning AI Engineer / Remote / Entertainment / Audio ML expert
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Motion Recruitment Senior Machine Learning AI Engineer / Remote / Entertainment / Audio ML expert
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Senior Machine Learning AI Engineer / Remote / Entertainment / Audio ML expert
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Motion Recruitment Get AI-powered advice on this job and more exclusive features. Job Description
This is a full-time opportunity based in Los Angeles (hybrid or remote optional for the right candidate) with a stealth-mode startup that’s building foundational AI technology for the connected home. The team is rethinking what it means for hardware, software, and machine learning to work together at the OS level delivering intelligent, real-time responsiveness through multimodal input (voice, video, and context). The tech stack is cutting-edge, and this role centers on applied machine learning at the intersection of speech, audio, and video understanding. Job Description
This is a full-time opportunity based in Los Angeles (hybrid or remote optional for the right candidate) with a stealth-mode startup that’s building foundational AI technology for the connected home. The team is rethinking what it means for hardware, software, and machine learning to work together at the OS level delivering intelligent, real-time responsiveness through multimodal input (voice, video, and context). The tech stack is cutting-edge, and this role centers on applied machine learning at the intersection of speech, audio, and video understanding.
Join a world-class team of engineers, scientists, and designers reimagining the interface between people and their environments. In this role, you’ll help build a system that doesn’t just respond it anticipates. This is an incredible opportunity for an Audio ML or Intent Recognition expert to shape a product that integrates AI into daily life in a meaningful, consumer-facing way. The role offers ownership, autonomy, and the chance to work with advanced ML architectures, foundational model development, and real-time sequence processing.
Required Skills & Experience
4+ years of experience in applied ML focused on audio, speech, or intent classification Strong foundation in training sequence models (RNNs, Transformers, BERT, Whisper, CLIP, Wav2Vec, etc.) Experience working with speech/audio ML, embedded systems, or multimodal inputs Proven track record building and training models from scratch not just relying on APIs Deep familiarity with tools like PyTorch, TensorFlow, Hugging Face Transformers, torchaudio, librosa, OpenCV, etc.
Desired Skills & Experience
Experience with signal processing, voice activity detection, audio embeddings, speaker identification Comfort with model evaluation, real-time inference, labeling, augmentation, and tuning Background with visual sequence modeling, action recognition, or video context detection Prior experience in environments like OpenAI, DeepMind, Amazon Alexa, Dolby, Sonos, Roku, AssemblyAI, etc., is a strong plus Familiarity with ONNX, ffmpeg, NVIDIA Triton also welcome
What You Will Be Doing
Tech Breakdown
Audio ML and signal processing Intent recognition and sequence classification Multimodal fusion (audio + video input modeling) System optimization and integration
Daily Responsibilities
80% Hands-on model development, training, tuning 20% Cross-functional team collaboration, experimentation, and architecture discussions
The Offer
equity eligible
You Will Receive The Following Benefits
Medical, Dental, and Vision Insurance Paid Vacation & Holidays Generous Equity Package
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Posted By:
Casey Ryan Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Staffing and Recruiting Referrals increase your chances of interviewing at Motion Recruitment by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.
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