Senior Machine Learning Engineer
Amgen
United States - RemotePosted 26 days agoDiscoveredMatch locked
RemoteFull time
Career Category
Information Systems
Job Description
Join Amgen’s Mission of Serving Patients
At Amgen, if you feel like you’re 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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. 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.
What you will do
Let’s do this. Let’s change the world. In this vital role, you will contribute to the development of scalable machine learning platforms and workflows that enable scientists and researchers across Amgen to build, deploy, and manage AI/ML models. You will work closely with experienced engineers, data scientists, and domain experts to productionize machine learning solutions primarily in support of drug discovery and development.
This is an ideal role for engineers early in their ML or software engineering careers who want to grow their expertise in MLOps, cloud platforms, and applied AI in life sciences. The ideal candidate has background in software engineering or computer science, has experience with commercial-grade, high reliability software and ML systems, and is passionate about the scientific and engineering aspects of designing new drugs.
This role is eligible for remote in the US.
Roles & Responsibilities
- Deliver AI and ML-enabled applications and platforms, with deployed models ranging from classical ML models to natural language processing, protein language models, and large language models.
- Contribute to the development and maintenance of ML platform capabilities, including: • Data pipelines and feature engineering workflows
- Model training, evaluation, and deployment pipelines
- Experiment tracking and model registry systems
- Model performance evaluations and monitoring
- Partner in implementation of AI and ML Ops best practices, including CI/CD, cloud infra as code, monitoring, traceability and reproducibility.
- Collaborate with cross-functional teams to transition standards and outcomes from experimentation to production-grade enterprise solutions.
- Build and maintain scalable and efficient, productionized MLOps solutions on cloud platforms.
- Develop and deliver training content and knowledge articles to educate resident scientists on model lifecycle management 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
Doctorate degree
OR
Master’s degree and 2 years of relevant experience in Computer Science, IT, or related field
OR
Bachelor’s degree and 4 years of relevant experience in Computer Science, IT, or related field
OR
Associate’s degree and 8 years of relevant experience in Computer Science, IT, or related field
OR
High school diploma / GED and 10 years of relevant experience in Computer Science, IT, or related field
Required Skills
- Software programming (Python, version control, test driven development).
- Experience with cloud technologies (AWS preferred, Databricks).
- Hands-on experience with AI/ML model training and serving.
Preferred Qualifications
- Experience with deployment and maintenance of AI/ML models in production.
- Substantial experience with cloud technologies and platforms, such as Databricks, AWS (preferred), or Azure.
- Experience with AI and MLOps frameworks and tools (MLflow, Kubeflow, Weights & Biases, Terraform, etc.).
- Experience with containerization (Docker, Kubernetes).
- Familiarity with distributed data processing (e.g., Spark).
- Familiarity with data science libraries (scikit-learn, TensorFlow, PyTorch, LangChain).
- Experience with graph databases.
Soft Skills
- Excellent critical-thinking and problem-solving skills.
- Strong communication and collaboration skills.
- Demonstrated presentation skills.
- Self-motivated, independent ownership and leadership skills.
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, 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 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.
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Salary Range
156,190.05USD -211,315.95 USD
Not included in the source posting: benefits.
Skills
machine-learningartificial-intelligenceawsdatabricksmlopsazuredockerkuberneteslangchainpythonpytorchspark
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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