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Jobs(38,923)/Machine Learning Engineer Role(464)/Modulate (2) - Machine Learning Operations Engineer
Modulate

Modulate - Machine Learning Operations Engineer

Somerville, MA$312k++ Equity1mo ago
In OfficeNACloud ComputingArtificial IntelligenceMachine Learning EngineerAWSLinuxPythonTerraform

Requirements

• Experience deploying and maintaining production software systems • Experience building monitoring and alerting systems for production environments • Experience with on-call rotations and incident response • Strong experience with AWS, Python, and Linux • Exposure to PyTorch or similar ML frameworks • Experience working with GPU-based applications and basic GPU tooling (drivers, runtime, monitoring) • Strong debugging and systems thinking skills • Ability to operate calmly in production incident environments • Experience with ML model serving systems or dedicated model servers • Experience monitoring GPU performance for inference workloads • Experience optimizing machine learning model inference • Familiarity with audio or multimedia data (codecs, streaming, real-time systems) • Experience with infrastructure-as-code (e.g., Terraform, CloudFormation)

Responsibilities

• Deploy, monitor, and maintain production machine learning inference systems • Oversee fleets of inference machines and ensure system health and performance • Design monitoring, alerting, and incident response systems for ML workloads • Participate in on-call rotations and lead incident response and debugging • Build systems and processes for scaling inference infrastructure under variable load • Improve reliability and observability of production ML services • Collaborate on infrastructure-as-code for production deployments • Support or contribute to GPU-based training and inference infrastructure • Work closely with ML and engineering teams to ensure smooth model deployments • (Optional growth area) Optimize model inference performance and latency

Benefits

• Full health, dental, and vision coverage • Flexible PTO with strong culture of taking it • Weekly team lunches with dietary accommodations • Hybrid work with core in-office days and flexible remote options • Leadership and technical learning sessions • Career development and continued learning support • Up to 8 weeks work-from-anywhere policy • A deeply inclusive, human-centered culture • Pay Transparency • Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience. • Equity: Offered • Other perks: HSA, FSA, 15 holidays, professional growth resources

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