Manager, Machine Learning Engineering

Tala
Santa Monica, Nairobi, Mexico City, Manila, Bengaluru
Workplace: RemoteFull timeUSD 170,000 - 210,000 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsSkills: ["Leadership","Coaching","Technical leadership","Cross-functional collaboration","Reliability focus"]

Lead Tala’s ML Platform team in a player-coach role, managing 4–6 Machine Learning Engineers while providing technical leadership for real-time inference and streaming ML systems. Build and improve the platforms, frameworks, and infrastructure that enable Data Science teams to securely train, deploy, monitor, and operate models at scale. Own engineering delivery, reliability, SLOs, incident response, and cross-team execution across Data Science, Data Engineering, and Product.

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Tala
Tala
1 day ago

Manager, Machine Learning Engineering

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Job Summary

Lead Tala’s ML Platform team in a player-coach role, managing 4–6 Machine Learning Engineers while providing technical leadership for real-time inference and streaming ML systems. Build and improve the platforms, frameworks, and infrastructure that enable Data Science teams to securely train, deploy, monitor, and operate models at scale. Own engineering delivery, reliability, SLOs, incident response, and cross-team execution across Data Science, Data Engineering, and Product.
Location: Santa Monica, Nairobi, Mexico City, Manila, Bengaluru
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Manage and grow a team of 4–6 Machine Learning Engineers across mid-to-senior levels, including hiring, feedback, and development plans.
  • •Set quarterly goals and ensure consistent delivery through prioritization across product roadmap, run-the-business, and operational excellence.
  • •Provide technical leadership for ML platform and production systems, including real-time inference, streaming feature extraction, batch processing, and monitoring.
  • •Drive engineering practices around testing, automation, observability, fault tolerance, infrastructure-as-code, and deployment.
  • •Own and improve SLOs, on-call health, capacity planning, reliability, and incident response; review designs and guide architectural standards.

Pay and Benefits

Salary: USD 170,000 - 210,000 annually

Key Requirements

  • •2+ years managing engineers, including hiring, performance management, coaching, and career development.
  • •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.
  • •Strong understanding of software quality, security, reliability, testing, and production operations.
Experience:6+ yearsMachine learningCausal inferenceProduction systemsStreaming data
Skills:LeadershipCoachingTechnical leadershipCross-functional collaborationReliability focus
Tech Stack:PythonSQLJupyterPandasScikit-LearnXGBoostTensorFlowPyTorchHugging FaceAWSGCPAzureKubernetesDockerKafkaKinesisBeamFlinkSpark StreamingAirflow

Company Brief

Tala
Provides mobile-first financial services and credit to underserved consumers in emerging markets using alternative data and machine learning to underwrite microloans, payments, and savings products via a smartphone app.
Industry: Lending
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series E+
Headquarters: Santa Monica, United States
Founded: 2011
Website