Senior Applied Scientist - Workforce Solutions

Overview

At Amazon's Workforce Intelligence powered by Scientific Engineering (WISE), success depends on effectively understanding and optimizing our workforce. WISE provides an enterprise-wide foundation for workforce planning, enabling precise alignment of workforce composition, organizational structure, and geographic presence to meet long-term organizational goals cost-effectively.

We are seeking a Senior Applied Scientist specialized in machine learning and AI to contribute to advanced optimization and large language model (LLM) initiatives. You will collaborate closely with cross-functional teams—including software engineers, machine learning engineers, data engineers, scientists, TPMs, product managers, and senior leadership—to develop cutting-edge solutions. This role requires a passion for innovation with strong product ownership and enjoyment of impactful work.

Key Responsibilities

• Lead engineering efforts to ensure clear and timely achievement of technical milestones, including advising on design and technology trade-offs.
• Effectively manage competing priorities and dependencies from various teams.
• Identify, define, and implement process improvements to enhance delivery and operational productivity.
• Engage with and influence stakeholders by balancing business requirements and technical constraints, providing clarity in uncertain conditions.
• Maintain operational excellence by monitoring key metrics and program health, resolving blockers promptly, and handling escalations.

Candidate Qualifications

• Minimum 3 years of machine learning model development experience applied to business contexts.
• PhD or Master's degree plus at least 6 years of applied research experience.
• Proficient programming skills in languages such as Java, C++, or Python.
• Solid understanding and experience with neural networks, deep learning, and machine learning methodologies.

Preferred Skills

• Familiarity with modeling frameworks and libraries, including R, scikit-learn, Spark MLLib, MxNet, TensorFlow, NumPy, and SciPy.
• Experience working with large-scale distributed computing platforms such as Hadoop and Apache Spark.

Additional Information

Amazon is an equal opportunity employer committed to diversity and inclusion, providing workplace accommodations for applicants with disabilities during the hiring process. Comprehensive benefits are offered, including health coverage, retirement savings plans, paid time off, and various wellness resources.

The total annual compensation for this role ranges from 195,900 to 327,200 Canadian dollars, subject to factors like experience, qualifications, and location, and may include sign-on bonuses and restricted stock units.