Sensor Tower is seeking a Senior Machine Learning Engineer to join their Data Science organization, focusing on mobile and digital analytics. This role is central to maintaining Sensor Tower's position as the gold standard for mobile app market intelligence and first-party data analysis. The position offers a competitive salary range of $120,000 - $150,000 and is based in Los Angeles with a hybrid work arrangement.
The ideal candidate will have 4+ years of experience in data modeling, machine learning, and quantitative analysis, with strong expertise in Python, SQL, and statistical modeling techniques. They will be responsible for developing and implementing machine learning models, creating metrics pipelines, and working with large datasets to derive meaningful insights for mobile app markets.
The role involves close collaboration with cross-functional teams, including other ML Engineers, Data Scientists, and Software Engineers, to deliver high-quality data products. The position requires both technical expertise and strong communication skills, as the engineer will need to explain complex data solutions to various stakeholders.
Sensor Tower offers an attractive benefits package, including flexible time off, health and wellness stipends, and home office support. The company culture emphasizes work-life balance, allowing employees to maintain connections with their personal interests and activities.
This is an excellent opportunity for a seasoned ML engineer who is passionate about mobile technology and data analysis to make a significant impact in the digital analytics space. The role combines technical challenges with business impact, requiring someone who can both develop sophisticated ML solutions and understand their practical applications in the mobile app market.
The company values diversity and maintains an inclusive work environment, welcoming candidates from all backgrounds. The hybrid work model provides flexibility while maintaining collaborative opportunities with the team. For the right candidate, this role offers the chance to work on cutting-edge problems in mobile analytics while contributing to products that shape understanding of the global digital economy.