Executive Director, Machine Learning

Career Category

Job Description

JOIN AMGEN’S MISSION OF SERVING PATIENTS

At Amgen, if you feel like you are a part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Live

What you will do

Let’s do this. Let’s change the world. In this vital role the Executive Director of Machine Learning will be responsible for: 

• AI Solutions, Scale & Delivery: Lead the development and delivery of new enterprise AI Solutions. Enable the scale of AI solutions developed across the organization through reusable, scalable foundational technology stack. Champion the use of software engineering best practices to support machine learning systems engineering and infrastructure.

• AI, Data Science and Decision-Making Enablement: Enable the development of advanced AI models and systems that unlock new value, enhance decision-making, ensuring the organization's infrastructure and technology are primed for AI integration. 

• Ethics & Compliance: Uphold the highest standards of ethics and compliance, ensuring that all AI solutions are developed and deployed responsibly. 

• Cross-Functional Collaboration and Communication: Foster collaboration across departments to ensure AI strategies are integrated and aligned with the broader organizational goals. 

• Scalable Solutions for Enterprise-wide Impact: Architect and maintain scalable AI solutions. Ensure the technology stack can adapt to growing data volumes and computational needs, enabling AI initiatives to scale efficiently and deliver tangible business outcomes. 

• Technology Stack Enhancement: Guide the selection and integration of a modern and versatile technology stack that supports the seamless development of AI solutions. Focus on creating a cohesive ecosystem of tools and platforms that enable data scientists and AI engineers to efficiently build, train, and deploy models.

Additional responsibilities include:

• Lead cross-functional teams in the pursuit of innovation and excellence in AI

• Attract, develop, and retain top talent in the field of artificial intelligence

• Support key talent initiatives, including diversity, inclusion, and belonging programs, along with talent development and internship opportunities

• Budget and resource management - Manage and allocate budgets for AI/ML initiatives and tools. Approve resource allocation for AI/ML projects

• Decide when to outsource versus build AI/ML solutions in-house

• Span to start with 30 and grow up to 60 (estimates)

• Define and execute the organization's AI/ML strategy aligned with business objectives

• Establish the roadmap for AI/ML initiatives across various departments

• Decide on AI/ML tools, platforms, and partnerships

• Standardize methodologies for AI/ML model development, deployment, and maintenance

• Define governance, ethical frameworks, and compliance standards for AI/ML

• Establish KPIs for AI/ML impact and evaluate outcomes

• Select and manage relationships with AI/ML vendors and consultants

Win

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications.

Basic Qualifications:

• Doctorate degree & 6 years Machine Learning experience OR

• Master’s degree & 10 years of Machine Learning experience OR

• Bachelor’s degree & 12 years of Machine Learning experience AND

• 6 years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources

Preferred Qualifications:

• Minimum of 10 years of experience in AI, machine learning, data science, or a related field

• Experience leading the development and deployment of AI solutions at scale

• Expertise in modern AI technologies, platforms, and best practices in software engineering

• Experience building Reinforcement Learning systems at scale, preferably involving Human Feedback (RLHF)

• Experience with ML Ops

• Familiarity with UX design principles, user research, and incorporating human factors into technology solutions

• Leadership skills with the ability to inspire teams and drive technological and business innovation

• Executive communication and collaboration skills to effectively engage with stakeholders across all levels of the organization

• Master’s or above in Computer Science, Artificial Intelligence, Data Science, or a related field is preferred

Thrive

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. The annual base salary range for this opportunity in the U.S. is $274,327 to $359,683. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

• Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.

• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan

• Stock-based long-term incentives

• Award-winning time-off plans and bi-annual company-wide shutdowns

• Flexible work models, including remote work arrangements, where possible

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. 

Salary Range