Braze is seeking an ML Applied Science Engineer to join their team, focusing on applying reinforcement learning to solve real-world customer communication challenges.
The role involves improving sample efficiency, testing credit assignment and attribution algorithms, and investigating action space featurization and reward shaping.
Responsibilities include enhancing RL algorithms for performance and robustness, developing diagnostic tools, conducting research on RL techniques for marketing optimization, and implementing monitoring tools.
The engineer will collaborate with engineering teams to enhance Braze's platform and develop APIs for ML components, as well as participate in customer implementations to gain insights into real-world use cases.
The position also requires contributing to Braze’s product strategy and roadmap.
Requirements:
Candidates must be exceptional coders with experience in writing clean, well-designed, versioned code, and a commitment to good coding practices.
Problem-solving skills are essential, with a focus on tackling complex challenges using novel ML approaches.
The ideal candidate should be impact-driven, motivated by translating research into tangible business outcomes.
Collaboration is key; candidates should enjoy working closely with a team and be willing to both help and seek help.
Strong organizational skills are required to structure plans, align stakeholders, and execute them effectively.
Clear communication skills, both written and verbal, are necessary for expressing ideas persuasively.
A Ph.D. in Computer Science, Machine Learning, or a related field with a focus on Reinforcement Learning is preferred, though an MS with professional experience in RL is acceptable.
Proficiency in the Python ML ecosystem, Spark, BigQuery, and FastAPI is required, along with familiarity with Kubernetes, Airflow, Terraform, and GCP.
Web development skills in TypeScript, JavaScript, and related technologies are not required but are a plus.
The team follows best practices in code development, including well-tested, type-hinted, documented, and modular code, along with CI/CD and issue tracking.
Benefits:
Braze offers competitive compensation that may include equity.
Employees have access to retirement and Employee Stock Purchase Plans.
The company provides flexible paid time off to support work-life harmony.
Comprehensive benefit plans are available, covering medical, dental, vision, life, and disability.
Family services include fertility benefits and equal paid parental leave.
Professional development is supported through formal career pathing, learning platforms, and a yearly learning stipend.
A curated in-office employee experience is designed to foster community and innovation.
Employees have opportunities to give back to the community through an annual Volunteer Week and donation matching.
Employee Resource Groups provide supportive communities within Braze.
The company culture is collaborative, transparent, and recognized as a Great Place to Work®.
