June 8, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
May 4, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
June 24, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. You will be working closely with our Cloud Architect, Solution Architects, Systems Engineers, Software Engineers, and Operations Engineering/Manager as well as Government counterparts to perform and manage our cloud solution, cloud computing strategy and all associated documentation.
This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware components or devices such as motherboard, memory, CPU, storage (SSD, HDD, NVMe) and PCIE devices (NIC, GPU, Mezz cards, RAID cards). Expertise with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe): IPMI, Redfish, mprime, FIO, Linpack, ptugen, memtester.
Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. SynergisticIT JOPP is good for entry-level software engineering candidates because it helps address the key areas where applicants often fall short: current skills, hands-on projects, resume alignment, interview confidence, and job-search execution.
SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. Interview success improves when you can demonstrate not only coding ability, but also the “end-to-end” thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives.
We are seeking a highly experienced subject matter expert to drive technical innovation, architect advanced data engineering solutions, and implement machine learning models that support our clients' LAN, WAN, and UC services. Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications.
Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world's most complex, mission-critical challenges with AI. By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage.
washington, DC30+ days ago
The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
You will work on production ML systems with measurable product impact, collaborating with cross-functional teams of engineers, data scientists, product managers, and editorial staff. Our ML/AI team works at the intersection of journalism, technology, and user experience, building systems that help people discover and engage with the news that matters to them.
ul>Brings curiosity, creativity, and rigor to ambiguous research and engineering problems, with a bias toward experimentation and rapid iteration; Thrives in collaborative, interdisciplinary environments while also being comfortable independently driving projects to completion; Communicates technical concepts clearly to both technical and non-technical audiences; Is resourceful, proactive, and comfortable operating in a fast-moving startup environment. Experience working across multiple modalities, with expertise in one or more of: - Computer Vision: image classification, object detection, OCR, segmentation, deepfake detection, multimodal vision-language systems, or related areas.
Washington, D.C.30+ days ago
About i3: i3 is a technically diverse, 100% team member owned business, headquartered in Huntsville, Alabama specializing in missile and aviation systems engineering and logistic services, electronic warfare and electromagnetic effects analysis, UAS system integration and flight operations, full lifecycle C5ISR engineering services, cybersecurity and IT/IA innovative solutions and virtual training, simulation & serious game development and implementation. We have established a broad offering of products and capabilities collectively providing decades of experience supporting the full complement of DoD military services, Missile Defense Agency, National Aeronautics and Space Administration, and a variety of other Government organizations and private industry customers.
Washington, DC30+ days ago
Machine Learning Engineer - Model Evaluations, Public SectorThe Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.
Washington, DC18 days ago
div class="p-rich_text_section">Qualifications:
- 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role.
Machine Learning Engineer
Washington, DC (Hybrid)
.
This is an applied ML role: you won''t be writing research papers, but you will be expected to have strong intuition for model performance, data quality, and the practical trade-offs involved in getting detection and tracking systems to work reliably in production. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
div class="flex max-w-full flex-col grow">We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. This is a high-impact position focused on defining architecture, building next-generation AI systems, and influencing technical direction across teams.
As a Staff ML Engineer, you will operate as a technical leader across initiatives, partnering closely with machine learning engineers, research scientists, and platform teams to shape architecture, drive major technical decisions, and deliver state-of-the-art AI infrastructure that enables the future of intelligent driving technologies across General Motors vehicles. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process.
p/>We are seeking a Staff Machine Learning Engineer to join our dynamic team specializing in a technology marketplace platform for engineering talent and delivering cutting-edge Generative AI (GenAI) managed solutions for enterprise clients. The company’s exclusive AI-powered platform, Andela Talent Cloud, is the industry’s only unified platform managing the complete global talent lifecycle and enables customers to fill individual roles or engage fully managed teams up to 66% faster.
Washington, District of Columbia30+ days ago
div class="content">We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the next-generation data management and artificial intelligence platform for maritime domain awareness.
. For resources on what goes into a security background investigation and what disqualifies people reference the
CIA requirements.
We focus on taking ML from research to production, integrating models into real-world systems used by engineering, product, and creative teams. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next….
Washington, DC30+ days ago
p>You Have 3 years of experience as a ML engineer and building production-grade ML solutions including work involving LLMs agents or complex automation frameworks 3 years of experience working within data science or data research in a professional or academic environment and training or deploying models across multiple modalities of data 3 years of experience working in cloud environments including AWS and Azure 2 years of experience deploying and integrating production-grade ML models using tools such as Docker and Kubernetes Experience with Large Language Models LLM Deep Learning DL and Reinforcement Learning RL and with tools and AI agent frameworks such as LangChain LangGraph PydanticAI or llamaindex Experience in connecting Agents to APIs Cloud platforms or databases Experience evaluating LLM performance and building observation layers for stakeholders including Grafana Langfuse LangSmith or Phoenix Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use Ability to obtain a Secret clearance Bachelors degree. CareersWhether you love solving problems engineering ideas or building solutions there is a place for you at Booz Allen.arrow-rightCareersarrow-rightSearch Jobsarrow-rightTeams & Missionsarrow-rightLife at Booz Allenarrow-rightBenefitsFlexibilityProfessional Developmentarrow-rightLocationsarrow-rightRecruiting & Networking Eventsarrow-rightMilitary Talentarrow-rightUniversity Talentarrow-rightCandidate Resourcesarrow-rightReturning Applicants.
Our goal for the team is to both help internal teams respond to customer-inquiries about threat detection and to provide information about the effects of our detections into the Data Science organization - including detection efficacy and managing false positive detections. Our groundbreaking technology, services delivery, and intelligence gathering together with our innovations in machine learning and behavioral-based detection, allow our customers to not only defend themselves, but do so in a future-proof manner.
Washington, DC30+ days ago
This role is not focused on routine International Telecommunication Union (ITU) filings; rather, it requires a candidate capable of applying deep technical knowledge of RF systems to influence emerging rules, policies, and international regulations in ways that advance U.S. Government objectives at ITU Working Party (WP) meetings and ultimately at the World Radiocommunication Conference (WRC). RF Engineer 4 - 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in realted field; or High School Diploma or equivalent and 13 years relevant experience.
Washington, DC18 days ago
We're seeking a Staff Data Scientist to develop and deploy machine learning solutions for consumer growth, including fraud detection, pricing optimization, and user behavior modeling. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next….
p>You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments. About the Role:
We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments.
Our team consists of world leading radiologists, scientists and engineers from top universities like Stanford, Harvard, and MIT many with past experience at leading equipment manufacturers like GE, Philips and Siemens. The Machine Learning Software Engineer role at Subtle Medical will join our growing AI team, working at the intersection of applied machine learning,infrastructure, and product innovation.
District of Columbia10 days ago
This role focuses on building **scalable backend systems** that power ML workloads, including **video, image, and document processing**, and enable **LLM-driven applications** through **agents and MCP servers**. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life.
You will work closely with researchers, product teams, andengineering leadership to build the systems that bring advanced machine learning into reliable, scalable product experiences. Typically 6 to 8 years of industry experience in software engineering, ML infrastructure, distributed systems, or platform engineering, including experience leading design and delivery of complex technical systems.
p>At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. You are a quality-focused developer who is passionate about reliable, repeatable evaluation of ML models and data.
By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success. Collaborate closely with customers, product designers, researchers, and other engineering teams to shape and build new software products and applications, optimizing for maximum value to the end user.
Dc, Washington22 days ago
To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/. This role requires the ability to frame complex problems, select appropriate modeling approaches, implement and validate models, and communicate results in accessible terms to non-technical audiences.
Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Washington, DC30+ days ago
em> 5+ years developing and deploying AI/ML systems across the full lifecycle-ideation, proof of concept, deployment, monitoring, and iteration-in Python Demonstrated technical leadership: a sustained record of leading multi-engineer initiatives, setting technical direction for ML systems, mentoring senior engineers, and partnering across product and platform-through people management, staff/principal-level scope, or an equivalent combination. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves.
By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter. Collaborate closely with researchers, product engineers, and platform partners to turn ML workflows into robust engineering systems.
Washington, DC18 days ago
li>Knowledge of various AI/ML concepts such as computer vision, image processing, statistical modeling/inference, data mining, natural language processing (NLP), prompt engineering, graph/geometric deep learning, large language models (LLM), and generative AI. "By clicking "Submit Application" you are consenting to the use and retention of the information you have provided as set forth in the State Affairs Privacy Policy.
li>Configure and tune DLP tools, DSPM, CASB, and cloud-native security controls to detect and prevent exfiltration of sensitive data or models, using statistical and machine learning techniques to optimize detection thresholds and reduce false positives.
You have:
5+ years of experience in data security, cybersecurity, or information protection roles, ideally in mid- to large-scale environments, with a strong understanding of how data is collected, used, and protected across complex ecosystems.
Washington, DC18 days ago
Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.
Links to more information on Prolific.
The Computer Vision Engineer will work on algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). In this role, you will be responsible for working on and understanding the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T.
The Computer Vision Engineer will work on algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). In this role, you will be responsible for working on and understanding the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T.
Washington, DC21 days ago
This role sits within an application engineering team and focuses on architecting AI-enabled systems using the Google Agentic Development Kit (ADK), Gemini, and Vertex AI — integrated into enterprise Java/Python backends and cloud-native microservices. You are equally comfortable defining application architecture, designing agentic workflows, writing production-quality code, and translating AI capabilities into practical, mission-aligned solutions for federal stakeholders.
Washington, DC15 days ago
IDS's AI portfolio spans retrieval augmented generation, constrained large language model (LLM) systems, knowledge graph deployments, explainable AI, and predictive analytics all delivered within classified and DoD-accredited cloud environments including Azure Government, AWS GovCloud, and Google Cloud. Integrity Defense Solutions, founded in 2022, is a rapidly growing engineering services company providing systems and software engineering, program management, and acquisition services to the DoD and federal civilian clients.
em> You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation). Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
Washington, DC30+ days ago
It is an engineering and applied AI leadership role for someone with a proven track record of shipping AI and ML systems in the construction space, partnering closely with product and design, mentoring engineers and ML practitioners, and shaping both technical direction and workflow impact. We are looking for a leader who understands how to build intelligent systems that reason over project data, drawings, specifications, RFIs, issues, schedules, photos, and site context, and turn those capabilities into real product experiences that create measurable value for construction teams.
li>Real-Time & Batch Speech Systems: Partner with core engineering teams to build, optimize, and maintain high-throughput pipelines optimized for both ultra-low latency real-time streaming inference and high-efficiency asynchronous (batch) multi-channel speech analysis.
Evaluation: Implement automated framework evaluations to benchmark model performance, rigorously tracking Word Error Rate (WER), Character Error Rate (CER), embedding-based metrics, latency budgets (RTF), and computing efficiency profiles under varying acoustic environments.
AI Security Engineer - Mid-Atlantic region Remote in VA, MD, PA, NC, DE, NJ, or DC Guidepoint Security LLC
AI Security Engineer - Mid-Atlantic region Remote in VA, MD, PA, NC, DE, NJ, or DCBy taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation's top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk. AI Security Architecture & Assessment: Advise on and assess the security posture of AI/ML systems, including LLMs, GenAI pipelines, and model serving infrastructure - identifying vulnerabilities, attack surfaces, and gaps against industry frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS).