Senior Machine Learning Research Engineer
Build cutting-edge speech and audio ML models, production inference systems, and resilient pipelines. Own full ML lifecycle from research to deployment on terabytes of audio data.
About the job
Responsibilities
- Research, design, and implement solutions using advanced signal processing algorithms and cutting-edge ML models for speech and audio
- Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams
- Collaborate with Operations team to gather training and evaluation datasets to improve model quality
- Architect systems for resilient, durable inference and evaluations
Requirements
- 5+ years of professional audio ML experience, including DSP and ML audio algorithm development
- End-to-end ownership of ML pipelines from proof-of-concept to production deployment
- Strong coding skills in Python and proficiency with deep learning frameworks such as PyTorch
- Ability to translate research papers into high-quality, production-ready code
- Experience deploying ML systems for production inference with cloud technologies
- Track record of setting ML roadmaps and influencing technical direction
- Ability to assess model quality in the context of user experience and business value
Nice-to-haves
- PhD or Masters in Computer Science or related field
- Experience training large neural network models
- Expertise in audio signal processing (classical and ML techniques)
- Publications in top conferences (NeurIPS, ICML, ICLR, CVPR, etc.)
Skills
Python, PyTorch, Machine Learning, Deep Learning, Signal Processing, Audio Ml, Dsp, Model Deployment, Cloud Technologies, Ml Pipelines
Similar jobs
ML Engineering jobs
Mintlify
San Francisco, CA
Build and lead production AI products, including agent systems that use tools, retrieve context, and complete complex tasks reliably. The role requires strong full-stack engineering, deep language-model experience, product judgment, and ownership from experimentation through production.
United States
Build and operate large-scale machine learning infrastructure and models for Reddit’s recommendation and personalization systems. The role requires 5+ years of ML engineering experience, expertise in deep learning and distributed systems, and proficiency with Python and modern ML frameworks.
Airbnb
United States
Senior machine learning engineer who will build and operate large-scale AI systems for Airbnb’s payments ecosystem, including LLM agents, fraud defenses, and personalization. The role requires 5+ years of applied AI/ML experience, strong Python or Java skills, and production MLOps expertise.
Nuro
Mountain View, CABuild and operate large-scale infrastructure for autonomous-driving model training, including distributed GPU systems, data pipelines, ML workflows, and reliability tooling. The role requires 3+ years of experience, strong Python and systems-language skills, Kubernetes expertise, and distributed-systems fundamentals.
Square
United States
Leads the design, deployment, and optimization of agentic and generative AI systems that automate risk and compliance investigations at scale. Requires 8+ years of machine learning modeling experience, production ML expertise, and advanced technical education.