Lead Machine Learning Engineer

Remote-first team of experts building the future of mobile marketing, providing intelligent data-driven solutions for Apple Search Ads scale, A/B testing, and market insights.
Machine Learning
Staff Software Engineer
Remote
5+ years of experience
AI · Enterprise SaaS

Description For Lead Machine Learning Engineer

SplitMetrics is a remote-first company at the forefront of mobile marketing, providing intelligent data-driven solutions for Apple Search Ads scale, A/B testing, and market insights. With almost 9 years of experience, they are an Apple Search Ads Partner and the first to build an Apple Search Ads management platform. They work with top mobile companies globally, handling over $1 billion in ad spend.

The Lead Machine Learning Engineer role offers an opportunity to work with huge data sets and create innovative ML solutions at a global level. The technical stack includes Python, MLflow, DVC, BigQuery, PostgreSQL, Airflow, and Kubernetes.

Key responsibilities include:

  • Leading a team of senior engineers and data scientists
  • Developing and deploying new machine learning algorithms
  • Analyzing and improving current ML solutions
  • Optimizing team workflow and delivery processes
  • Providing technical leadership
  • Cross-functional collaboration for product development

The ideal candidate should have:

  • 5+ years of experience in Data Science or Machine Learning Engineering
  • At least 1 year in a lead role
  • Deep understanding of ML algorithms and optimization methods
  • Strong practical knowledge of Python and SQL
  • Understanding of Agile principles
  • Experience in deploying ML models from research to production

SplitMetrics offers a comprehensive benefits package, including flexible time off, health and wellness support, professional development opportunities, and a remote-first working environment. The company culture is built on values such as moving fast, getting things done, building together, striving for transparency, owning responsibilities, and continuous learning and sharing.

Join SplitMetrics to be part of a dynamic team shaping the future of mobile marketing with data-driven solutions and cutting-edge machine learning technologies.

Last updated 9 days ago

Responsibilities For Lead Machine Learning Engineer

  • Lead a team of senior engineers and data scientists
  • Develop and deploy new machine learning algorithms
  • Analyze the performance of current ML solutions and identify opportunities to improve
  • Continuously improve delivery processes
  • Provide technical leadership, helping to elevate the quality of work across the team
  • Collaborate cross-functionally to share findings and guide product development

Requirements For Lead Machine Learning Engineer

Python
PostgreSQL
  • 5+ years of experience in Data Science or Machine Learning Engineering, with at least 1 year in a lead role
  • Deep understanding of ML algorithms and optimization methods
  • Strong practical knowledge of Python and SQL
  • Understanding of Agile principles/experience as a Scrum Master
  • Working knowledge of how to put ML models into production from research to deployment

Benefits For Lead Machine Learning Engineer

Medical Insurance
Mental Health Assistance
Education Budget
  • Vacation and public holidays following your country's regulations
  • Additional 6 PTOs annually for personal rejuvenation
  • Medical insurance or health care compensation
  • Paid sick leave
  • Top online/offline conferences and mobile industry events
  • Internal courses for continuous professional development
  • Semi-annual performance review sessions
  • Internal mobility program
  • Corporate online events and offline team retreats
  • Flexible working schedule
  • Remote-first working environment
  • Coworking costs coverage program
  • Office hubs in key locations

Interested in this job?

Jobs Related To SplitMetrics Lead Machine Learning Engineer

AIML - Staff Machine Learning Engineer - ML Efficiency, ML Platform & Technology

Staff Machine Learning Engineer role at Apple, focusing on optimizing ML workloads and platform efficiency.

Partner Engineer, Generative AI

Meta is seeking a Partner Engineer to join their AI Partner Engineering team, working on Generative AI and Large Language Models.

Staff Applied Machine Learning Engineer

Staff Applied Machine Learning Engineer at DoorDash: Lead AI/ML solutions for tax categorization and shape product strategy.

Sr Mgr Software Engineering

Lead AI Engineering team at Disney Experiences, developing innovative LLM applications for world-class immersive experiences.

Manager, AI Solutions & Development

Lead AI solutions development at Disney, managing a team of engineers to create innovative LLM applications for theme parks and entertainment experiences.