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Added 1 day ago
26-1136: AI Engineer 3 - Herndon, VA
Navitas Business Consulting
Herndon, VA
5+ years of experience supporting AI/ML engineering, data engineering, cloud architecture, software engineering, or related technical disciplines.
Added 2 days ago
Senior UI Developer, AI Studio
Amgen
Tampa, FL
…ownership and measurable value across software, data, automation, machine learning, Generative AI, RAG, bounded agents, evaluation, observability and lifecycle…
Added 2 days ago
Principal Machine Learning Engineer
Amgen
Washington D.C., DC
We are seeking a Principal Machine Learning Engineer - Amgen’s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI solutions.…
Added 2 days ago
Software Engineer III- AI & Engineering/Software as a Service
Deloitte
Kansas City, MO
+ Experience with machine learning pipelines or data engineering workflows.
Added 3 days ago
Robotics and Autonomy-Assistant Staff
MIT Lincoln Laboratory
Lexington, MA
MIT Lincoln Laboratory Assistant Staff provide critical support for domain-level innovative research supporting the Laboratory’s national security mission. They prototype state-of-the-art…
Added 4 days ago
Modeling and Simulation Engineer - ACT-Open Rank (Mid Level)-Colorado Springs, CO
Colorado Springs, CO
…Institute of Technology (Georgia Tech). Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20…
Added 4 days ago
Vice President, Enterprise Technology & Innovation
Omniscius Consulting
Ashburn, VA
…to the President, with direct leadership of Enterprise IT & Security. This executive will lead internal transformation, current customer innovation, and pre-award technical solutioning,…
Added 5 days ago
AS
Sr. Principal Autonomous Networks & Agentic AI Architect – 5G Mobile Core
AT&T Services, Inc.
Remote, United States
- $208,600 to $313,000 USD / year
As a Sr. Principal Member of Technical Staff, you'll set technical direction and lead the architecture, engineering, and delivery of autonomous capabilities across AT&T's Mobile Core.…
Added 5 days ago
Software Engineer III- Full Stack Developer
Deloitte US
Atlanta, GA · Austin, TX · Baltimore, MD · Birmingham, AL · Boise, ID · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Colorado Springs, CO · Columbus, OH · Costa Mesa, CA · Dallas, TX · Denver, CO · Des Moines, IA · Detroit, MI · Fort Worth, TX · Fresno, CA · Grand Rapids, MI · Hartford, CT · Hermitage, TN · Houston, TX · Huntsville, AL · Indianapolis, IN · Jacksonville, FL · Jersey City, NJ · Kansas City, MO · Lansing, MI · Las Vegas, NV · Los Angeles, CA · Louisville, KY · McLean, VA · Miami, FL · Milwaukee, WI · Morristown, NJ · Nashville, TN · NY · Philadelphia, PA · Pittsburgh, PA · Portland, OR · Princeton, NJ · Raleigh, NC · Richmond, VA · Rochester, NY · Rosslyn, VA · Seattle, WA · Stamford, CT · Tampa, FL · Tulsa, OK · Wichita, KS
Experience with machine learning pipelines or data engineering workflows.
Added 6 days ago
Director, Software Engineering, Agent Platform
SentinelOne
Remote, United States
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless…
Added 6 days ago
Member of the Technical Staff, Security Engineer
Tolmo
San Francisco, CA
This sits between research and engineering. In one week you might reproduce a new exploit class, teach an agent to chain an SSRF into cloud credential access, build the harness that checks…
Added 7 days ago
Sr. Staff Software Engineer, Cribl Dete
CRIBL INC
MADISON, WI
Added 8 days ago
Sr. Staff Software Engineer, Cribl Detect
MONTROSE ENVIRONMENTAL GROUP
SALT LAKE CITY, UT
…infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world's biggest enterprises, including half of the Fortune 100, to bridge the gap between AI…
Added 9 days ago
M
Member of Technical Staff (Senior AI Security Researcher)
Microsoft
United States
- $119,800 to $261,000 USD / year
Microsoft Red Team (MRT) helps Microsoft anticipate emerging threats and strengthen the security of products, services, and AI systems. AI is increasingly important to that mission as…
Added 9 days ago
CI
Sr. Staff Software Engineer, Cribl Detect
Cribl, Inc
Denver, CO
- $230,000 to $280,000 USD / year
Cribl's Engineering org is where new product ideas come to life. We move fast, try things out, and aren't afraid to break a few things along the way if it means learning faster and building…
Added 11 days ago
Sr. Applied Scientist, AWS Specialists and Partner Prototyping
Amazon Web Services, Inc.
Santa Clara, CA · Seattle, WA · New York, NY · Herndon, VA
- Act as a technical liaison between customers, service engineering teams, and sales, carrying real-world signal back to the teams building the services.
Added 11 days ago
Staff Product Manager, Agentic Data Platform
Horizon3
New York City, NY · San Francisco, CA
This role requires strong technical depth in data infrastructure, database architecture, machine learning platforms, and cloud services, combined with excellent product judgment and…
Added 12 days ago
Machine Learning Engineer, AI Studio
Amgen
Washington D.C., DC
Your remit may include a model or inference service, data or knowledge pipeline, retrieval component, agent tool, evaluation module, API, workflow or monitoring capability. You will design,…
Added 13 days ago
MA
Safety Post-training
Microsoft AI
NYC, NY · Mountain View, CA · NY
- $119,800 to $234,700 USD / year
We are looking for a Member of Technical Staff to help build the shared systems and methods for safety post-training of frontier text, coding, and agentic models. You will connect data…
Added 15 days ago
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Sr. Staff Engineer, Security AI-SOC
Cribl, Inc
Denver, CO
- $230,000 to $280,000 USD / year
Cribl's Engineering org is where new product ideas come to life. We move fast, try things out, and aren't afraid to break a few things along the way if it means learning faster and building…
Added 16 days ago
Cloud Infrastructure Engineer
SLAC National Accelerator Laboratory
Menlo Park, CA
The position collaborates closely with Cybersecurity, Networking, Identity and Access Management, Platform Engineering, application teams, data teams, researchers, and external service…
Added 16 days ago
AI Staff Engineer - REMOTE
Insight Global
Hartford, CT
We are seeking a AI Staff Engineer to lead the design and delivery of enterprise-scale Generative AI solutions that power next-generation healthcare experiences. This role goes beyond…
Added 16 days ago
Senior Staff MLOps Engineer
HCA Healthcare
Nashville, TN
The Senior Staff ML Ops Engineer is a technical leader and key architect in shaping and driving our organization's MLOps strategy and practice. This role requires deep expertise in cloud…
Added 16 days ago
Member of Technical Staff, AI Researcher (New Stealth Startup)
Red Cell Partners
Remote, United States
We are seeking a Member of Technical Staff, AI Researcher to help turn complex, real-world workflows into the evaluation frameworks, reinforcement learning environments, and feedback…
Added 18 days ago
Sr. Staff Software Engineer, Cribl Detect
Cribl
Remote, United States
Cribl’s Engineering org is where new product ideas come to life. We move fast, try things out, and aren’t afraid to break a few things along the way if it means learning faster and building…

Amgen

Machine Learning Engineer, AI Studio

Washington D.C., DC, United States

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Job details

Posting language: English
Posted: Aug 26, 2026

Original 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.

Machine Learning Engineer, AI Studio

What you will do

The Machine Learning Engineer offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D)- organization. We are the Applied AI team (AI Studio). AI Studio is Amgen’s enterprise engine for turning high-value business challenges into scalable AI products. We partner with key business partners across the company to identify the right opportunities, shape them into actionable use cases, and design, build, and launch AI products responsibly. Our work spans the full lifecycle from early discovery and rapid prototyping to production deployment, reuse across the enterprise, and measurable business impact. You will independently own defined production components within enterprise AI products and automation solutions.

Your remit may include a model or inference service, data or knowledge pipeline, retrieval component, agent tool, evaluation module, API, workflow or monitoring capability. You will design, release, diagnose and support the component while connecting technical measures to user and workflow outcomes. Within Applied AI, AI Studio turns prioritized business demand into governed, reusable AI assets with accountable ownership and measurable value across software, data, automation, machine learning, Generative AI, RAG, bounded agents, evaluation, observability and lifecycle operations.

Key Responsibilities

Define component boundaries, intended use, acceptance criteria, non-functional requirements, decision consequences, support expectations and technical estimates with product and architecture partners.
Design and implement maintainable Python, SQL, API, data, model, retrieval, agent-tool and workflow components with clear contracts, configuration, testing, error handling and documentation.
Apply EDA, feature engineering, supervised or unsupervised methods, baselines, cross-validation, leakage prevention, calibration, subgroup, threshold, explainability and error analysis where relevant.
Build GenAI, NLP, RAG and bounded agent components using structured output, embeddings, hybrid search, reranking, provenance, citations, permissions, approvals, retries and recoverable failure behaviour.
Engineer batch or event-driven data, document, feature, embedding, label and evaluation pipelines with schema validation, lineage, provenance, access control and consistency checks.
Define representative evaluation for model quality, uncertainty, retrieval, grounding, citations, task success, tool correctness, safety, latency, cost and user impact.
Release and support components using cloud services, containers, CI/CD, versioning, monitoring, rollback, incident response and runbooks; lead diagnosis of moderately complex failures.
Apply security, privacy, Responsible AI, validation, auditability, human oversight and applicable GxP controls; contribute reusable assets and guide Associate engineers on familiar work.

What we expect of you

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

Basic Qualifications:

Master’s degree

Bachelor’s degree and 2 years of Computer Science, IT or related field experience

Associate’s degree and 6 years of Computer Science, IT or related field experience

High school diploma / GED and 8 years of Computer Science, IT or related field experience

Preferred Qualifications:

Production software and AI/ML system design: Python and SQL modules, APIs, background jobs, event flows, testing, performance, observability, source control and maintainable failure semantics.
Statistics, modelling and experimentation: EDA, feature engineering, classification, regression, clustering, ensembles, cross-validation, leakage prevention, calibration, uncertainty and decision-aware error analysis.
GenAI, RAG, knowledge and agents: Prompt and context management, structured output, chunking, embeddings, hybrid retrieval, reranking, citations, access-aware retrieval, tool schemas and human approval.
Data, knowledge and cloud-scale systems: Batch and event-driven pipelines, contracts, lineage, provenance, relational/document/graph/vector stores, APIs, containers, Spark or Databricks and cloud-native services.
Strong hands-on proficiency in Python and SQL, with sound software-engineering and testing practices.
Strong capability in at least one of classical ML, GenAI/RAG/agents or MLOps/platform engineering, with working knowledge of adjacent areas.
Advanced ML and deep learning: Experience with PyTorch, TensorFlow, Hugging Face, scikit-learn, XGBoost, PyMC, computer vision, NLP, GNNs, causal inference or uncertainty estimation.
Advanced GenAI and knowledge systems: Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, hybrid retrieval, knowledge graphs, graph RAG or evidence verification.
Cloud, data and MLOps: Experience with AWS, Bedrock or SageMaker, Databricks, Spark, Kubernetes, infrastructure as code, MLflow, Airflow, Kubeflow or GitHub Actions.
Agents and human-AI workflows: Familiarity with MCP-style integration, agent tracing, adversarial testing, durable workflows, permissions, human review, BI or process automation.
Regulated enterprise delivery: Experience in healthcare, life sciences, GxP, validated systems or another regulated or high-impact environment.
Independent problem solving and sound component-level technical judgment.
Clear communication of assumptions, evidence, trade-offs, risks and support implications.
Strong collaboration with business SMEs, product, architecture, software, data, platform, evaluation and control partners.
Ownership, reliability and disciplined follow-through from design through production support.
Ability to guide junior engineers and learn new tools through evidence-based experimentation.

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 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 anticipates accepting applications until August 31st, 2026; however, we may continue accepting applications beyond this date if we do not receive a sufficient number of candidates.

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.

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