(Remote Work) Lead Machine Learning Engineer, Data&AI team – SplitMetrics

Job Overview

• Job Title Lead Machine Learning Engineer, Data&AI team
• Hiring Organization SplitMetrics
• Company Website https://splitmetrics.com/careers/
• Remote Locations Worldwide
• Job Type  Remote, Full-Time

Hi! It’s SplitMetrics, a remote-first team of experts building the future of mobile marketing. Top app developers turn to us for intelligent data-driven solutions designed for Apple Search Ads scale, A/B testing, and market insights.

Why SplitMetrics?

• For almost 9 years, we’ve been at the forefront of mobile marketing industry, providing an ecosystem of market-leading technologies.
• An Apple Search Ads Partner, SplitMetrics is the 1st company to build the Apple Search Ads management platform.
• Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more.
• Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem.
• Acquired App Radar in 2023 to extend our product capabilities and expand market share.
• Integrated AI into our strategic approach.
• Effectively collaborate across 20+ countries with a remote-first and supportive culture.

About the role:

We are looking for a creative and experienced Lead Machine Learning Engineer to join our dedicated Data&AI team. You will have access to huge data sets and an opportunity to create innovative ML solutions at the global level.

Our technical stack:

• We write our ML code in Python;
• We use MLflow and DVC for experiments and data versioning;
• We rely on BigQuery and PostgreSQL for data warehousing;
• When it comes to scheduling ML pipelines, we use orchestration frameworks like Airflow and Kubernetes.

Job Responsibilities

• 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. This involves identifying bottlenecks, removing obstacles, and optimizing the team’s workflow;
• Provide technical leadership, helping to elevate the quality of work across the team;
• Collaborate cross-functionally to share findings and guide product development.

Job Requirements

• 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.

Employee Benefits

• Time Off: Vacation and public holidays following your country’s regulations. Additional 6 PTOs annually for personal rejuvenation.
• Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being.
• Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development.
• Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program.
• Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback.
• Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment.
• Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment.

How To Apply

Click “Apply” below to fill in the application form!