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Lead Machine Learning Engineer, Data&AI team

extra holidays - fully flexible

Remote:

Full Remote

Contract:

Full time

Salary:

2 - 2K yearly

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

5+ years in Data Science or ML Engineering, 1+ year in a lead role, Deep understanding of ML algorithms, Strong skills in Python and SQL, Familiar with Agile principles.

Key responsabilities:

Lead senior engineers and data scientists
Develop and deploy new ML algorithms
Analyze and improve current ML solutions
Optimize team’s workflow and delivery processes
Collaborate cross-functionally for product development

SplitMetrics Information Technology & Services SME https://splitmetrics.com/

51 - 200 Employees

See more SplitMetrics offers

Job description

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.

What you'll be doing:

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.

About you:

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.

What is there for you?

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.

Our Culture

At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors:

Move Fast
Get Sh*t Done
Build Together
Strive for Transparency
Own What You Do
Learn + Share = Excel

Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

Privacy Policy: Please take a moment and see our Applicant and Candidate Privacy Notice before applying. Please note that SplitMetrics may process your personal data as part of this application and further recruitment interaction for up to 365 days thereafter in accordance with the Notice. You can exercise your privacy rights as described in the Notice or by contacting us here.