Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform — APIs, workflows, and applications that bring voice understanding to customers at enterprise scale.
We’re looking for a Machine Learning Operations Engineer to own and scale the production inference systems behind Modulate’s machine learning models. This role will focus on ensuring high availability, reliability, and efficiency of deployed models across our APIs and enterprise products as we rapidly grow in customer usage and model demand.
Your Impact
Own the reliability and performance of ML model inference systems in production
Ensure high availability of deployed models across APIs and enterprise products
Build systems to handle scaling, load variability, and production traffic growth
Reduce operational burden through better tooling, automation, and processes
Help define how Modulate runs ML systems at scale with reliability and efficiency
What You Will Do
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
What We Are Looking For
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
Nice to Have
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)
Benefits
Competitive salary + equity
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.
Salary: $150-$200K
Equity: Offered
Other perks: HSA, FSA, 15 holidays, professional growth resources
About Modulate
Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We’re trusted by leaders in gaming and beyond—and we’re growing fast. We believe that great cultures don’t just happen. That’s why we’ve built a foundation of intentional systems: from bias-reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people—and we’re building technology that does the same.
Ready to join us? Apply here or reach out directly—we’re excited to meet you.
A quick note as you apply
Please apply through the website rather than emailing [email protected]
For application questions (“Your fit for the role,” “Your values/goals,” “Why Modulate?”), focus on relevant experience and motivations
Avoid including protected demographic information
Keep responses authentic and in your own voice
Skills Required
- 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
- Strong debugging and systems thinking skills
- Ability to operate calmly in production incident environments
What We Do
Modulate designs and builds prosocial voice intelligence, empowering platforms to transform voice interactions into safe, trustworthy experiences. Our flagship product, ToxMod, is a proactive voice moderation system that goes beyond keyword scanning. Utilizing layered machine learning models—designed to detect emotional tone, speech patterns, conversational context, and intent—ToxMod identifies toxic behaviors as they occur. This nuanced approach allows moderators and trust-and-safety teams to intervene before harm escalates, not after, significantly reducing negative interactions in real time. As of October 2024, ToxMod has moderated over 160 million hours of voice data, resulting in more than 80 million moderator interventions that make online environments safer and more welcoming for users. While gaming was our launchpad, ToxMod now extends its protection into gig economy and customer service platforms. With Confidential Connect, platforms can safeguard privacy by anonymizing phone interactions and surfacing actionable insights when harm or fraud is detected in voice communication. Our modular model architecture—with specialized detectors for emotion, deception, harassment, phishing, and more—is both highly accurate and explainable. This allows for rapid adaptation: when collaborating with a gig platform in early 2024, we stood up a fraud-detection module within a month using the same system. Beyond voice safety, Modulate empowers platforms with compliance support and community health strategies. Our tools drive insights for transparency reporting, code-of-conduct alignment, and evolving regulatory needs—like those shaped by AI policy, trust and safety frameworks, and user privacy laws. In summary: Modulate transforms voice—from chat, phone, or AI agent—to an asset for trust, safety, and user well-being. We're building tools that don’t just respond to harm—they anticipate it. Whether it’s protecting gamers, customer-care agents, gig workers, or social communities, Modulate empowers platforms to safeguard human connection in the voice-first era.
Why Work With Us
Modulate stands out by combining real-time voice‑native AI with a mission-driven focus on safety, inclusion, and explainability. Working here means building cutting-edge, trust-first technology that protects real communities—while growing in a transparent, people-centered culture that values impact just as much as innovation.
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