Senior Machine Learning Engineer - Growth

What you'll do

• Develop models and decisioning services for recommendations, engagement, activation, expansion, and sales experiences.
• Build datasets, features, evaluation frameworks, and architectures; run offline evaluations and online experiments, and monitor system performance and fairness.
• Set the direction for growth ML capabilities and partner with cross-functional teams to turn opportunities into measurable production systems.

What they ask for

• Bachelor's or Master's degree, preferably in Computer Science, or equivalent experience.
• 5+ years of related industry experience in the machine learning domain.
• Expertise in Python; familiarity with SQL, Spark, and cloud data environments such as AWS or Databricks; ability to write performant production-quality code.
• Experience scaling ML models for business applications using large amounts of data, building large-scale datasets and evaluations, and partnering with product, analytics, marketing, or sales teams on personalized journeys or sales-assist experiences.

Nice to have

• Experience in consumer/B2C SaaS or enterprise/B2B.
• Experience applying ML to growth, personalization, recommendations, ranking, experimentation, or decisioning across a customer funnel.

Pay

$206,100 - $269,075 USD base salary; $185,490 - $242,168 USD base salary; $171,063 - $223,332 USD base salary

Tools

Python, Java, Typescript, SQL, Spark, AWS, Databricks

AI focus

Apply machine learning to personalized recommendations, ranking, customer and sales journeys, and decisioning across the growth funnel; build evaluation and experimentation systems and optimize for durable customer and portfolio value.