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 Team Lead to guide and grow our ML research and engineering team. This role combines deep technical expertise in machine learning with strong leadership skills to ensure the team is focused, effective, and aligned with business priorities. You will work closely with executive stakeholders while supporting a high-performing, collaborative research team.
Your Impact
Lead and support Modulate’s machine learning research and engineering team
Ensure the team is aligned with business priorities and product needs
Help grow team capability through hiring, mentoring, and skill development
Maintain high team morale and an effective, collaborative culture
Drive clarity on feasibility, prioritization, and estimation of ML work
Ensure Modulate continues to ship high-quality, impactful ML models
What You Will Do
Collaborate with engineers, researchers, and executives (CTO, CEO, VP Product/Design) on ML strategy and priorities
Deeply understand the team’s models and research to guide technical direction
Help prioritize research and engineering efforts based on impact and feasibility
Support the team in designing, training, and shipping machine learning models
Mentor researchers and engineers and support their technical growth
Participate in hiring and team expansion efforts
Communicate model performance and tradeoffs to technical and non-technical stakeholders
Optionally contribute directly to ML research and engineering work as an IC when needed
Ensure strong collaboration across research, engineering, and product teams
What We Are Looking For
Experience conducting machine learning research and shipping models
Experience collaborating closely with other researchers (peer, lead, or mentor level)
Experience communicating research externally (papers, conferences, etc.)
Strong experience with Python and PyTorch
Ability to understand and guide complex ML systems and tradeoffs
Strong leadership, communication, and organizational skills
Ability to align technical work with business priorities
Nice to Have
Prior experience managing ML researchers or ML engineering teams
Experience working with audio models or speech systems (ASR, TTS, etc.)
Experience with cloud infrastructure, especially AWS
Experience in fast-paced startup environments
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 growth support
Up to 8 weeks work-from-anywhere policy
A deeply inclusive, human-centered culture
Pay TransparencyModulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience.
Salary: $170k-210K
Equity: Offered
Other perks: HSA, FSA, 15 holidays, professional development resources
Candidates may be located anywhere in the U.S., with preference for proximity to major tech hubs such as San Francisco, Seattle, Boston, New York, or Austin.
About ModulateModulate 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
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