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ML Team Lead

External
Fresno Summit Advisors logoFresno Summit Advisors · Somerville, MA
Full-timeOn-site1mo ago
AWSLeadershipMachine LearningMentoringPythonPyTorch
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About the role

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.

Responsibilities

  • 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
  • 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

Requirements

  • 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
  • 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 + equityFull health, dental, and vision coverageFlexible PTO with strong culture of taking itWeekly team lunches with dietary accommodationsHybrid work with core in-office days and flexible remote optionsLeadership and technical learning sessionsCareer development and continued growth supportUp to 8 weeks work-from-anywhere policyA deeply inclusive, human-centered culturePay TransparencyModulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience.Salary: up to $200k base with flexibility for more senior level experienceEquity: OfferedOther perks: HSA, FSA, 15 holidays, professional development resourcesThis role will require onsite work at their Somerville location at least 3 days a week.Health insuranceDental insuranceVision insurancePaid time offRemote work optionsFlexible scheduleEquity / stock options

Additional Information

Fresno Summit Advisors is partnering with this company to support hiring for this role. This job post highlights a role our client is hiring for, shared on their behalf to expand reach and connect with qualified candidates. About Modulate 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.


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