Moises · 9 hours ago
Senior Machine Learning Engineer
United States
Full-time
Remote
Senior LevelMoises is a Series A music-tech company with over 70 million users across 190+ countries, named Apple’s iPad App of the Year in 2024. We are seeking an experienced Senior ML Engineer to lead the design and implementation of a robust ML infrastructure that enables efficient model training, optimization, and deployment.
Artificial Intelligence (AI)MusicMachine Learning
Responsibilities
Design and implement scalable data pipelines and training infrastructure for machine learning models
Optimize data loading and processing systems to support efficient model training
Collaborate with research teams to productionize experimental models and scale them for production use
Build deployment strategies for models across edge devices and cloud platforms
Optimize models for production environments using industry-standard frameworks and conversion tools
Ensure models meet performance, latency, and resource requirements across different hardware platforms
Develop and maintain automated testing, deployment, and monitoring pipelines for ML models
Implement continuous integration and delivery workflows for seamless model updates
Build systems for model versioning, validation, and rollback capabilities
Provide technical guidance on MLOps best practices and architecture decisions
Mentor team members and contribute to building a culture of operational excellence
Drive adoption of tools and processes that improve efficiency and reliability
Qualification
Required
Experienced in machine learning engineering
Ability to design and implement scalable data pipelines and training infrastructure for machine learning models
Experience optimizing data loading and processing systems to support efficient model training
Collaboration with research teams to productionize experimental models and scale them for production use
Experience building deployment strategies for models across edge devices and cloud platforms
Ability to optimize models for production environments using industry-standard frameworks and conversion tools
Ensuring models meet performance, latency, and resource requirements across different hardware platforms
Development and maintenance of automated testing, deployment, and monitoring pipelines for ML models
Implementation of continuous integration and delivery workflows for seamless model updates
Building systems for model versioning, validation, and rollback capabilities
Providing technical guidance on MLOps best practices and architecture decisions
Mentoring team members and contributing to building a culture of operational excellence
Driving adoption of tools and processes that improve efficiency and reliability
Benefits
Flexible paid time off
Paid parental leave
Monthly wellness stipend
Learning & development support (conferences, courses, training)
Company
Moises
Moises is an audio-tech company that leverages machine learning and data science in relation to music and audio processing.
Founded in 2019
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$40.43MKey Investors
MONASHEESKickstart
2025-05-12Series A· $30M
2022-06-10Seed· $8.83M
2021-08-03Seed· $1.6M
Leadership Team
Geraldo Ramos
Chief Executive Officer
Recent News
2025-10-20
TechRadar.com
2025-09-22
2025-09-17
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