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Manager, Machine Learning Engineering

Tala· Technology – Data & Platform
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Remote$170k - $210kFull-timePosted 4w ago

About the role

Lead Tala’s ML Platform team as a player-coach, directing a group of Machine Learning Engineers to build platforms, frameworks, and infrastructure for secure training, deployment, monitoring, and operation of ML models at scale, with a focus on real-time inference and streaming data systems.

Responsibilities

  • Lead & Grow the Team - Manage and develop a team of 4–6 Machine Learning Engineers across mid-to-senior levels.
  • Hire, source, interview, and close strong MLE talent.
  • Establish clear expectations, provide regular feedback, and create development plans for direct reports.
  • Coach engineers toward growth and promotion while addressing performance gaps directly and thoughtfully.
  • Create opportunities for engineers to take on challenging projects and grow their technical leadership.
  • Own Engineering Delivery - Set quarterly goals and ensure the team consistently delivers against them.
  • Own prioritization across product roadmap work, run-the-business activities, and operational excellence.
  • Balance team capacity across new development, maintenance, technical debt, and production support.
  • Improve team productivity by reducing context switching and delegating effectively.
  • Partner with engineers and technical leads to estimate and scope complex work.
  • Provide Technical Leadership - Guide development of platforms and frameworks for data exploration, feature development, training, testing, deployment, and monitoring of ML models.
  • Drive engineering practices around testing, automation, observability, fault tolerance, IaC, and deployment.
  • Own and improve SLOs, on-call health, capacity planning, reliability, and incident response.
  • Review technical designs and drive architectural standards and debt reduction.
  • Partner Across the Organization - Collaborate with Data Science, Data Engineering, Data Platform, Product, Credit, and Business Development teams.
  • Translate business and technical needs into scalable ML platform solutions.
  • Coordinate dependencies and delivery across multiple engineering and data teams.
  • Create structure and clarity in evolving priorities and requirements.

Qualifications

  • 2+ years of directly managing engineers, including hiring, performance management, coaching, and career development.
  • Experience managing a team through at least one full performance cycle.
  • Demonstrated ability to coach engineers toward promotion and address underperformance.
  • Experience owning team goals, prioritization, estimation, and delivery.
  • Experience with production on-call, incident response, and capacity planning.
  • Willingness to be actively involved in sourcing, interviewing, and closing engineering talent.
  • 6+ years of backend software engineering experience in consumer-scale applications.
  • At least 3 years of hands-on Python experience.
  • Experience building and operating machine learning or causal inference systems in production.
  • Earlier-career experience personally building and deploying ML models or ML infrastructure.
  • Ability to participate in technical architecture and system-design discussions and provide technical direction without needing to be the primary coder.
  • Strong understanding of software quality, security, reliability, testing, and production operations.

Skills

Required:Team leadership and coachingTechnical strategy & deliveryMachine Learning Platform

Benefits

  • Remote-first with offices in Santa Monica, CA; Nairobi, Kenya; Mexico City, Mexico; Manila, Philippines; Bangalore, India.
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Tala

Digital Financial Services, Credit, Savings and More

A money app for the majority. Tala bridges digital and cash ecosystems to help customers seamlessly manage their financial lives, all in one app.

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