Senior AI / Machine Learning Engineer — Fraud Detection
San Jose, California, United States · Hybrid
$152k–$265k/yr
Senior+$3M raised
Senior AI / Machine Learning Engineer — Fraud Detection The Opportunity We are in search of an experienced Senior AI/ML Engineer to develop and broaden fraud and abuse detection systems. You will improve ML techniques in…
The application window is expected to close on: 10/26/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The successful applicant will be performing …
Washington, District of Columbia, United States · Hybrid
$82k–$172k/yr
Mid level$1.5B raised
Job Title: AWS Solution Architect Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Loca…
Skills: AWS, Cloud Architecture, Infrastructure as Code, Terraform, CloudFormation
E T Consultant - Real Estate Decarbonization Consultant
New Delhi, Delhi, India · On-site
Senior
E T Consultant - Real Estate Decarbonization Consultant Job #: req38182 Organization: IFC Sector: Infrastructure Grade: EC2 Term Duration: 1 year 0 months Recruitment Type: Local Recruitment Location: Washington, DC,Unit…
Skills: Real estate decarbonization, Energy efficiency, Sustainability strategy, Greenhouse gas emissions, Technical due diligence
Overview: Supports the LINE Façade Studio while working independently with guidance, focused exclusively on leading-edge façade and enclosure elements. Contributes and assists in design, engineering, and analysis tasks t…
Washington, District of Columbia, United States · On-site
Senior+
Location: Seattle, WA (Boeing Plant 2) Reports to: Director of Technical Services POSITION SUMMARY City FM's Technical Training Academy (FCTA) is seeking a Trades Instructor with deep experience in industrial process plu…
Job Description Work Arrangement: This role is categorized as Remote/hybrid. This means the successful candidate is expected to report to Austin, TX, Mountain View, CA or Remote (Washington State) three times per week at…
Washington, District of Columbia, United States · On-site
$23/hr–$26/hr
Mid level
Overview Opportunity: Engineer Perform preventative and repair maintenance work to ensure the hotel is maintained according to established quality and sustainability standards while treating guests in a warm and friendly…
Washington, District of Columbia, United States · On-site
$28/hr–$31/hr
Mid level
An extraordinarily talented group of individuals work together every day to drive TNS' success, from both professional and personal perspectives. Come join the excellence! Overview TNS has an amazing opportunity in our N…
Washington, District of Columbia, United States · Hybrid
$163k–$204k/yr
Mid level$163M raised
About LILT AI is changing how the world communicates — and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cut…
Skills: Linux System Administration, DevOps, Docker, Kubernetes, Python
Principal ML Engineer - Embodied AI Scaling Foundations
Mountain View, California, United States · Hybrid
Senior+$8.5B raised
Job Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turni…
Skills: Machine Learning, Foundation Models, PyTorch, Python, Data Curation
Washington, District of Columbia, United States · On-site
$27/hr–$36/hr
Mid level$4M raised
OVERVIEW: Gallaudet University, federally chartered in 1864, is a bilingual, diverse, and multicultural institution of higher education dedicated to the intellectual and professional advancement of Deaf and hard of heari…
Washington, District of Columbia, United States · On-site
Senior
Location: On-site in Washington D.C area Clearance Required: Active TS/SCI or SAP eligibility Job Summary We are seeking a highly capable Space Systems Senior Program Manager to directly support a U.S. Air Force or Space…
Skills: Program Management, DoD Acquisition, Systems Engineering, Budget Planning, Stakeholder Engagement
Washington, District of Columbia, United States · On-site
$190k–$280k/yr
Senior$3.6B raised
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aec…
Washington, District of Columbia, United States · On-site
$100k–$150k/yr
Mid level$3.6B raised
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aec…
Skills: Engineering, Technical analysis, Concept development, Modeling and simulation, Python
Washington, District of Columbia, United States · Hybrid
$129k–$194k/yr
Senior$7M raised
The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development ce…
Washington, District of Columbia, United States · On-site
$19k–$21k/yr
Senior
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring …
Skills: HVAC maintenance, Mechanical systems troubleshooting, Building automation systems, Boiler operation, Preventive maintenance
Job Description About Us The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our …
Washington, District of Columbia, United States · On-site
Senior+
Location: Seattle, WA (Boeing Plant 2) Reports to: Director of Technical Services POSITION SUMMARY City FM's Technical Training Academy (FCTA) is seeking a Trades Instructor with deep experience in industrial process plu…
Washington, District of Columbia, United States · Hybrid
$62k–$141k/yr
Mid level$4.2B raised
Databricks Engineer The Opportunity: We are seeking a hands-on Databricks Engineer to design, build, and operate scalable data and analytics solutions supporting government mission needs. This role requires strong practi…
Skills: Databricks, PySpark, Spark SQL, Delta Lake, Unity Catalog
Senior AI / Machine Learning Engineer — Fraud Detection
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$152k–$265k/yr
Full-time
bachelor degree, postgraduate degree
Annual Incentive Plan, New Hire Equity Award, Comprehensive Benefits Programs
Posted 3d ago
~40 hrs/week
Responsibilities
You will build and deploy high-precision machine learning models to detect fraud, abuse, and anomalies while integrating risk signals into real-time decisioning systems. The role involves end-to-end ownership of solutions, from feature engineering and model development to production deployment and monitoring.
Requirements
Candidates must have 8+ years of experience building production machine learning systems, particularly in adversarial domains like fraud or trust and safety. Strong proficiency in Python, SQL, and modern ML frameworks like PyTorch is required, along with experience in data engineering and LLM implementation.
Full job description
Senior AI / Machine Learning Engineer — Fraud Detection
The Opportunity
We are in search of an experienced Senior AI/ML Engineer to develop and broaden fraud and abuse detection systems. You will improve ML techniques in anomaly detection, user/device risk analysis, identity and service abuse, and evolving AI abuse scenarios.
This is a hands-on role spanning ML, data, and backend systems, with opportunities to apply LLMs, AI agents, and modern ML techniques to strengthen detection. You will own solutions end to end — from signals and modeling through production deployment and real-time decisioning. Join us in crafting best in class fraud detection systems that will make a significant impact!
What you'll Do
Build and deploy high-precision ML models for fraud and abuse detection, anomaly detection, and risk scoring.
Engineer risk signals from large-scale account, device, network, behavioral, velocity, and session data.
Integrate ML/AI features into real-time risk decisioning and automated enforcement systems.
Apply LLMs and AI agents to expand detection, investigation, and classification capabilities.
Translate emerging attack patterns and relevant research into new models, signals, and mitigations.
Evaluate solutions across accuracy, latency, cost, and customer impact.
Own model evaluation, monitoring, and drift as attacker behavior evolves.
Partner across engineering, product, and risk teams to ship production-ready capabilities.
What you'll need to succeed
8+ years building and operating production ML systems, ideally in fraud, abuse, risk, identity, trust & safety, or other adversarial domains.
Solid ML background with practical experience in Python, SQL, and current ML frameworks like PyTorch.
Experience guiding ML systems from feature engineering to production deployment and monitoring.
Strong software/data engineering skills across ML, backend, and data infrastructure.
Experience building with LLMs and/or AI agents, particularly for AI/generation-abuse use cases.
Strong technical judgment, ownership, and ability to solve ambiguous, adversarial problems.
Bachelor's or equivalent experience in Computer Science, Statistics, Mathematics, or related field; advanced degree a plus.
Real-time risk evaluation and automated control systems.
Human-in-the-loop or AI-assisted evaluation systems.
Distributed systems and high-scale data pipelines.
Strong adversarial approach — anticipating how attackers adapt to mitigations.
Hybrid Work Model: This role follows a hybrid schedule, with a minimum of 3 days per week in the office.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com.
AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.


In California, the pay range for this position is $183,300 - $265,350
In New York, the pay range for this position is $183,300 - $265,350
In Illinois, the pay range for this position is $156,300 - $226,350
In Washington, the pay range for this position is $165,600 - $239,725

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe empowers everyone, everywhere to imagine, create, and bring any digital experience to life. From creators and students to small businesses, global enterprises, and nonprofit organizations — customers choose Adobe products to ideate, collaborate, be more productive, drive business growth, and build remarkable experiences.
Offices: 345 Park Avenue, San Jose, CA 95110-2704, US · 801 N 34th St, Seattle, WA 98103, US · 201 Sussex St, Sydney, NSW 2000, AU · 112 Avenue Kleber, Paris, IdF 75116, FR · Georg-Brauchle-Ring 58, Munich, BY 80992, DE
How much do Engineering jobs in Washington, DC pay?
Based on 2273 listings with disclosed salaries, most engineering jobs in Washington, DC pay between $78k–$206k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Washington, DC right now?
There are currently 2,970 open engineering positions in Washington, DC listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Washington, DC?
Companies currently hiring include mouhamedzz, Booz Allen Hamilton, Koniag Government Services, M.C. Dean, Inc., Shield AI, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Washington, DC?
Yes — 1120 of the 2970 open engineering positions offer remote or hybrid work (328 remote, 792 hybrid).
How do I apply for Engineering jobs in Washington, DC?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.