Machine Learning Engineer

Sensor Tower, a leading provider of mobile app market intelligence, is seeking a Senior Machine Learning Engineer to join their Data Science organization. This role offers an exciting opportunity to work in the dynamic space of mobile and digital analytics, where you'll leverage various data sources and ML algorithms to create market estimates and insights.

The position requires 4+ years of experience in data modeling and quantitative analysis, with a strong foundation in machine learning engineering. You'll be working with cutting-edge technology to develop and optimize models that form the core of Sensor Tower's products. The role involves collaborating with cross-functional teams across multiple time zones to deliver high-quality data products.

As a Machine Learning Engineer, you'll be responsible for gathering requirements from stakeholders, implementing data modeling solutions, and creating sophisticated algorithms. The role requires expertise in Python, SQL, and statistical modeling techniques, with experience in data visualization tools like Tableau being a plus. The ideal candidate should have an advanced degree (MS/PhD preferred) in a relevant field.

The position offers a competitive salary range of $120,000-$150,000, along with attractive benefits including flexible time off, health and wellness stipends, and remote work support. Based in Denver with a hybrid work arrangement, this role provides an excellent opportunity to work with a company that's at the forefront of mobile market intelligence.

Sensor Tower offers a flexible work environment that allows employees to maintain work-life balance while working on challenging problems in the mobile analytics space. The company values innovation, continuous learning, and the ability to adapt quickly as research evolves. This is an ideal opportunity for someone passionate about data science and mobile technology who wants to make a significant impact in the digital economy landscape.