Career CategoryEngineering
Job DescriptionSenior Machine Learning EngineerDuties: Lead efforts with Amgen business leaders to identify, explore and develop transformative AI and ML solutions to enable access to computational tools and data within Amgen, and ultimately improve patient outcomes across multiple therapeutic areas; Utilize Cloud Services to collect, store, preprocess, and analyze large datasets from various sources across Amgen; Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms; Facilitate ML & Data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment; Facilitate model deployment to production, including monitoring and maintenance of ML models, put in place metrics to assess accuracy and drift; Define model evaluation and validation strategies, train and test models, and analyze and resolve errors and biases in models; Lead and develop standards, processes, and best practices for the team across the machine learning-based solution implementation lifecycle; and Involved in technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion. May telecommute.
Requirements: Bachelor's degree (or foreign equivalent) in Computer Science, Statistics, Electrical Engineering, Mathematics, Bioengineering or a related field and 4 years of experience in the job offered or in a Data Scientist related - Occupation. Position also requires 4 years of experience in the following: 1) Programming skills in Python including experience with scientific computing and machine learning libraries including pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow and PyTorch; 2) Applying supervised and unsupervised learning techniques to real-world problems, including experience with Random Forest, XGBoost, ensemble models, and deep learning architectures; 3) Version control (Git), containerization and orchestration tools including Docker and Kubernetes, and cloud environments including AWS or GCP; 4) Involved with data science platforms including Databricks and SageMaker; 5) Using statistical methods industry including regression modeling, hypothesis testing, Bayesian methods, Forecasting techniques and time-series analysis; 6) Building ETL (Extract, Transform, Load) pipelines for handling large-scale, high-dimensional datasets, familiarity with healthcare data structures and data types; 7) Experience with software DevOps CI/CD tools and GitLab; and 8) Experience developing and fine-tuning Natural Language Processing (NLP) models, including work with architectures such as BERT, ALBERT, GPT, and other transformer-based models.
Contact: Interested candidates please apply via https://careers.amgen.com/en/search-jobs and search for job # R-243604.
Job type: Full Time position. The annual salary range for this position in the U.S. is $158,606.00 - $200,052.00
per year. Also, this position offers stock, retirement, medical, life and disability insurance and eligibility for an annual bonus or for sales roles, other incentive compensation. For more details visit https://careers.amgen.com/life-at-amgen/benefits/
What you can expect of usAs 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 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, including remote and hybrid work arrangements, where possible
Apply now and make a lasting impact with the Amgen team. careers.amgen.comIn 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.
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.
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