Associate Machine Learning Engineer

Company: Amgen
Location: Washington
Posted on: January 16, 2026

Job Description:

Join Amgens Mission of Serving Patients At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do. Since 1980, weve helped pioneer the world of biotech in our fight against the worlds 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, youll 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, youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Machine Learning Engineer What you will do Lets do this. Lets change the world. We are seeking a motivated Machine Learning Engineer with exposure to MLOps practices to join our team. In this role, you will support the development, deployment, and maintenance of machine learning solutions under the guidance of senior engineers and data scientists. You will contribute to building reliable ML pipelines and help operationalize models in production environments. Roles & Responsibilities: Collaborate with data scientists and senior ML engineers to develop, train, and evaluate machine learning models. Assist in building and maintaining ML pipelines for data ingestion, feature engineering, model training, deployment, and monitoring. Support the use of cloud platforms (AWS, Azure, or GCP) for ML model development and deployment. Implement basic MLOps and DevOps practices to automate and streamline ML workflows. Help monitor deployed models for performance, data drift, and operational issues, escalating concerns as needed. Participate in experimentation and A/B testing efforts to improve model performance. Work closely with data scientists, engineers, and product teams to deliver ML solutions aligned with business needs. Stay current with emerging machine learning and MLOps tools and best practices. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is an individual with these qualifications. Basic Qualifications: Bachelors degree OR Associates degree and 4 years of computer science, IT, or a related field OR High school diploma / GED and 6 years of computer science, IT, or a related field Preferred Qualifications: Must-Have Skills Solid understanding of machine learning fundamentals (regression, classification, clustering). Hands-on experience or exposure to MLOps tools and practices (e.g., MLflow, Airflow, Kubeflow) and DevOps tools (Docker, basic Kubernetes, CI/CD). Proficiency in Python and common ML libraries (Scikit-learn, TensorFlow, or PyTorch). Strong analytical and problem-solving skills. Good communication skills and ability to collaborate effectively in a team environment. Ability to learn quickly and adapt to new tools and technologies. Good-to-Have Skills Exposure to big data technologies such as Spark or Hadoop. Experience supporting data pipelines or working with data engineering teams. Basic understanding of statistical concepts and hypothesis testing. Familiarity with NLP or time-series analysis concepts. Soft Skills Good analytical and troubleshooting abilities. Clear verbal and written communication skills. Ability to work effectively with global and virtual teams. Demonstrates initiative and willingness to learn. Able to manage assigned tasks and priorities with guidance. Team-oriented mindset with a focus on shared goals. Organized and detail oriented. What you can expect from 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, well support your journey every step of the way. 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, 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: A 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 Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies Apply now and make a lasting impact with the Amgen team. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. 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. Sponsorship Sponsorship for this role is not guaranteed. 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 is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

Keywords: Amgen, North Bethesda , Associate Machine Learning Engineer, IT / Software / Systems , Washington, Maryland