Senior Machine Learning AI Engineer / Fully Remote / PyTorch
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Senior Machine Learning AI Engineer / Fully Remote / PyTorch
role at
Motion Recruitment
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Senior Machine Learning AI Engineer / Fully Remote / PyTorch
Join to apply for the
Senior Machine Learning AI Engineer / Fully Remote / PyTorch
role at
Motion Recruitment
Job Description
This is a full-time position based in Los Angeles, with flexibility for hybrid or fully remote work for the right candidate. You’ll be joining a stealth-mode startup focused on building next-generation AI infrastructure for the connected home. The team is reinventing how hardware, software, and machine learning interact at the operating system level—enabling real-time intelligence through multimodal inputs such as voice, video, and contextual data.
Job Description
This is a full-time position based in Los Angeles, with flexibility for hybrid or fully remote work for the right candidate. You’ll be joining a stealth-mode startup focused on building next-generation AI infrastructure for the connected home. The team is reinventing how hardware, software, and machine learning interact at the operating system level—enabling real-time intelligence through multimodal inputs such as voice, video, and contextual data.
Work alongside a world-class group of engineers, scientists, and designers to reshape how humans interact with their environments. This role is ideal for someone with expertise in audio machine learning or intent recognition who’s excited to contribute to a consumer-facing product that makes AI genuinely helpful in everyday life. You’ll have a high level of ownership, hands-on access to advanced ML models, and the opportunity to shape foundational tech that delivers real-time responsiveness.
Required Skills & Experience
4+ years of applied machine learning experience with a focus on audio, speech, or intent modeling
Strong background in training and deploying sequence models (e.g., RNNs, Transformers, Whisper, BERT, CLIP, Wav2Vec)
Experience working on ML applications using speech/audio input, embedded systems, or multimodal signals
Proven ability to build and train models from the ground up, not just utilize prebuilt APIs
Proficiency with core ML tools such as PyTorch, TensorFlow, Hugging Face, torchaudio, librosa, OpenCV
Desired Skills & Experience
Experience with signal processing, VAD, speaker identification, and audio embeddings
Familiarity with model evaluation, inference latency, data augmentation, and model tuning
Exposure to video-based sequence modeling, context recognition, or action detection
Background in organizations like OpenAI, DeepMind, Amazon Alexa, Dolby, Sonos, Roku, AssemblyAI, etc.
Bonus: Experience with ONNX, ffmpeg, NVIDIA Triton, or model optimization for edge devices
What You Will Be Doing
Tech Breakdown
Applied ML in audio and signal processing
Developing systems for intent recognition and sequence classification
Research and development in multimodal fusion (e.g., integrating audio + video inputs)
System-level optimization and real-time integration
Daily Responsibilities
80% hands-on model building, training, and iteration
20% collaboration across engineering, design, and architecture teams to drive innovation
The Offer
Equity eligibility included
Benefits Include:
Medical, Dental, and Vision Insurance
Paid Vacation and Holidays
Generous Equity Package
Applicants must be currently authorized to work in the U.S. on a full-time basis, now and in the future.
Posted By:
Maddie Hausberg
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
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