Sr Machine Learning Scientist

Machine Learning Scientist What you will do Within Amgen’s Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad goal of advancing and applying computational protein design to revolutionize how biologic therapeutics are made. In this vital role you will work with a cross‑functional team of scientists and engineers building foundational models that are used, tested, and trained on real‑world applications of generative design to the development of therapeutic biomolecules. Providing technical leadership and partnering across broad discovery areas of research, you will: Develop and implement groundbreaking machine learning and protein science solutions. Collaborate with computational and experimental scientists to establish these tools as a foundation of the discovery pipeline. Work towards individual ownership and a leadership role in determining model architectures and research program needs. Engage with open‑source and academic collaborations in the machine learning field. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The driven professional we seek is a highly collaborative and confident researcher with the following qualifications. Basic Qualifications Doctorate degree Master’s degree and 2 years of machine learning experience Bachelor’s degree and 4 years of machine learning experience Associate’s degree and 8 years of machine learning experience Preferred Qualifications PhD in computational sciences, computational biology, applied mathematics, statistics, or related quantitative field. Strong track record of research accomplishments including three or more scientific publications or conference presentations in machine learning. Experience specifically with model training and diffusion model architecture, demonstrated by scientific publication or conference presentations. Experience with UNIX/Linux, Python, PyTorch, Git, and cloud computing platforms. Experience working with biological data and in applying machine learning to computational biology. Strong communication and technical leadership skills with an enthusiasm for working in an interdisciplinary team environment. What you can expect from us The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, comprising 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. 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. Discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan. Stock‑based long‑term incentives. Award‑winning time‑off plans. Flexible work models where possible (refer to the Work Location Type in the job posting to see if this applies). Sponsorship Sponsorship for this role is not guaranteed. Application Deadline 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. Equal Opportunity Employer 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. #J-18808-Ljbffr