164 jobs in Scale AI, Inc.
Senior Software Engineer, Public Sector
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The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:
- Create multi-layered guardrails around agents
- Optimize data retrieval for agents
- Orchestrate fleets of asynchronous agents
- Automatically alerts users to deviations in data
- Illustrating how an agent reached a decision
As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders.
You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers.
- Manage the full lifecycle of feature development from requirement definition to deployment on classified networks.
- Direct the orchestration of asynchronous agent fleets to meet mission requirements.
- Lead customer engagements to translate mission needs into technical requirements.
- Own the communication with stakeholders to ensure implementation meets defined acceptance criteria.
- Conduct technical reviews and identify risks within machine learning infrastructure and model serving.
- Drive the platform roadmap by providing technical specifications for Federal product offerings.
Ideally you will have:
- Full Stack Development: Proficiency in front‑end, back‑end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases.
- Cloud‑Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud‑native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus.
- Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles.
- AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval‑augmented generation (RAG), and agent orchestration is beneficial.
- Problem Solving: Strong analytical and problem‑solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
- Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross‑functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non‑technical audiences and foster a collaborative work environment.
- Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up‑to‑date with emerging trends in software engineering.
Compensation includes base salary and benefits. Base salary ranges by location (USD):
San Francisco, New York, Seattle: $216,000 – $311,000
Hawaii, Washington DC, Texas, Colorado: $194,400 – $279,000
St. Louis: $162,400 – $233,000
Benefits may include health, dental, and vision coverage; retirement benefits; learning and development stipend; generous PTO; and potentially a commuter stipend.
We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We also provide reasonable accommodations to applicants with disabilities. For additional information, please refer to our privacy policy for how we handle your personal data.
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Senior Software Engineer: Agentic Systems for Federal
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Scale AI, Inc. in St. Louis is hiring a Senior Software Engineer to lead the development of backend systems for Federal customers. This role involves managing feature lifecycles, direct orchestration of agent fleets, and translating customer needs into technical requirements.
The ideal candidate will have expertise in full stack development, cloud-native technologies, and data engineering. Compensation for the role includes a competitive base salary ranging from $162,400 to $233,000, depending on location, along with benefits such as health coverage and paid time off.
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Software Engineering Manager, Public Sector
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Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands‑on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers.
This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You'll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners— all while helping your team grow and execute.
You’ll split your time between technical planning and execution (50%) and people management and team development (50%) , leading a team of 6‑8 engineers. You'll work cross‑functionally with product, security, and customer‑facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs.
Must be able to commute to office three times per week .
You will:- Recruit a high‑performing engineering team.
- Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects.
- Collaborate with cross‑functional teams to define, design, and execute strategic roadmap.
- Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks.
- Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud‑native AI infrastructure.
- Develop distributed systems, data‑intensive applications, and machine learning infrastructure to enable real impact for mission owners.
- Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
- Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
- Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings.
- Have or ability to obtain a TS/SCI clearance .
- 5+ years of full‑time engineering experience, post‑graduation.
- 2+ years of prior engineering management or equivalent experience and has managed an engineering team.
- Extensive experience in software development.
- Experience scaling products at hyper‑growth startups.
- Excitement to work with AI technologies and their applications for the public sector.
- Extremely strong track record as an individual contributor.
- Show a track record of mentoring and leading teams in successful projects.
- Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non‑technical stakeholders.
- TS/SCI clearance.
- Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team.
- Experience with AI platforms and technologies, including generative models and LLMs.
- Previous experience in government or government‑facing technology roles.
- Experience with cloud‑native technologies, full stack development, data engineering, and ML ops infrastructure.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job‑related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity‑based compensation, subject to Board of Directors approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Base salary range for this full‑time position in the locations of San Francisco, New York: $216,000 - $270,000 USD.
Base salary range in Washington DC: $194,400 - $243,000 USD.
Base salary range in St Louis: $162,400 - $203,000 USD.
PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
Equal Employment Opportunity & AccommodationsWe are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Engineering Manager, Public Sector AI & Backend
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Scale AI is seeking an Engineering Manager to lead a team of software engineers building core products and infrastructure for federal customers. The role blends technical planning and people management, with a requirement to commute to the office three times per week in St. Louis.
You will recruit, mentor, and guide a team of 6-8 engineers, drive productivity, and collaborate across product, security, and customer-facing teams to meet complex federal compliance, security, and performance needs.
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Head of Finance Systems & Automation
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$198,400 — $248,000 USD
The Head of Financial Systems will own the strategy, implementation, and continuous improvement of Scale AI's finance technology stack. You are a builder-first leader who blends enterprise architecture with AI automation—eliminating manual workflows, tightening the financial data fabric, and enabling the Finance team to move with the speed and rigor the business demands. You will be the primary technology partner to the Finance leadership team, and the person ultimately accountable for the reliability, scalability, and intelligence of every system that touches the financial close, revenue, and spend lifecycle.
Key Responsibilities- ERP Ownership & Optimization Own the full lifecycle of our ERP environment (NetSuite or equivalent), including architecture, configuration, integrations, and roadmap. Ensure the platform reliably supports the General Ledger, AP, AR, Procure-to-Pay, Fixed Assets, Revenue Recognition, Sales Audit, and International Consolidations & Reporting.
- Order-to-Cash & Procure-to-Pay Drive end-to-end process excellence across Order-to-Cash (Sales/Revenue Capture, Sales Audit, Billing) and Procure-to-Pay (Direct & Indirect Purchasing). Identify gaps between upstream systems and ERP, and close them through disciplined integration design.
- AI Agent Deployment Identify opportunities to replace manual finance workflows with AI/LLM-powered agents. Build and manage internal agents that automate forecasting inputs, variance analysis, close task management, and reconciliation—reducing cycle time and surfacing actionable insights for Finance leadership.
- Systems Integration & Data Architecture Design scalable data flows and APIs that connect the ERP to adjacent finance tools (billing, expense, FP&A, treasury) into a cohesive, auditable ecosystem. Ensure clean, governed data movement from source systems to the general ledger and reporting layer.
- Operational Excellence & Controls Establish disciplined change management, clear data governance, and measurable SLAs across all financial systems. Stabilize environments to support audit readiness, SOX compliance, and regulatory requirements.
- Finance Stakeholder Partnership Serve as the primary technology partner to the CFO, Controller, FP&A, and Accounting teams. Translate complex technical constraints into business outcomes and align system roadmaps with Finance's strategic priorities.
- Team Leadership Build and lead a high-impact Finance Systems team. Foster a culture of curiosity, speed, and user-centricity—where the team is as proud of a clean reconciliation workflow as any external product shipped.
- 8+ years of experience leading finance systems or enterprise application functions in a fast-paced, high-growth environment
- Deep, hands‑on knowledge of ERP platforms (NetSuite strongly preferred) across core modules: GL, AP, AR, Fixed Assets, Revenue Recognition, Procure-to-Pay, Sales Audit, and International Consolidations
- Strong understanding of Order-to-Cash and Procure-to-Pay process design, including the touchpoints between upstream sales/procurement systems and the ERP
- Strong understanding of SOX IT General controls and a track record implementing them
- Proven track record designing and deploying AI/LLM-powered workflows or agentic systems to improve Finance team efficiency
- Ability to design and govern scalable integrations and data flows across SaaS tools
- Experience influencing Finance leadership, translating technical complexity into clear business decisions
- Proficiency with an iPaaS platform (e.g., Workato, Mulesoft, Boomi, etc.)—Workato Certification is a big plus
- Proficiency in Python or SQL to personally prototype, audit, and quality-check automation logic
- Familiarity with adjacent Finance tooling: expense management, FP&A platforms, billing systems, and treasury tools
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. 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. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
Equal Opportunity EmploymentWe believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal‑opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
Privacy and Data Collection NoticeWe collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Engagement Manager (Hawaii), Public Sector
Posted today
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Role Overview
We're hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer as part of our public sector delivery team. The EM will own or support a large account plan, manage day‑to‑day execution, and ensure an exceptional customer experience.
Responsibilities- Manage customer relationships from the executive to the end user.
- Work alongside customers to scope agentic workflow use cases that Scale's engineering team will build and you will ultimately refine.
- Lead a cross‑functional project team to deliver on and exceed the customer's AI/ML objectives.
- Lead with a "whatever‑it‑takes" mentality, proactively identifying customer needs and operator pain points to ensure customer success.
- Oversee onboarding and successful implementation of customer accounts.
- Active TS/SCI clearance.
- 5+ years of work experience succeeding in stakeholder management or a customer‑facing role delivering enterprise‑scale applications or solutions.
- A track record of structured, analytics‑driven problem solving.
- Excellent verbal and written communication skills.
- Willingness to be onsite with customers in locations throughout the Oahu area 4 days per week and able to travel at least 25% of the time.
- 10+ years of professional experience, often in a customer‑facing technical program management role in industry or government.
- Prior experience at an API technology company and/or managing technical customers using an API.
- A technical degree in computer science, engineering, or related field.
- Proficiency in Python, SQL, or other programming languages.
- Domain expertise in a relevant field (e.g., modeling and simulation, joint planning processes, intelligence workflows, etc.).
Base salary range: $166,400 – $249,000 USD (Hawaii, Honolulu). Eligible roles receive equity compensation subject to Board approval. Benefits include comprehensive health, dental, and vision coverage; retirement benefits; a learning and development stipend; generous paid time off; and a commuter stipend.
Administrative NoteOur policy requires a 90‑day waiting period before reconsidering candidates for the same role.
Equal Opportunity & Disability AccommodationsWe are an inclusive and equal‑opportunity workplace. We comply with equal employment opportunity laws and provide reasonable accommodations to applicants with physical or mental disabilities. If an applicant needs assistance, contact
Legal & ComplianceWe comply with the United States Department of Labor’s Pay Transparency provision. We collect, retain, and use personal data for our professional business purposes. Any information collected will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Engagement Lead – AI/ML (TS/SCI), Onsite in Oahu
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Scale AI, Inc. is looking for an Engagement Manager in Honolulu who will coordinate delivery of workflows for a national security client. The role involves managing relationships, scoping use cases, and ensuring success.
Applicants are expected to hold a TS/SCI clearance, have 5+ years of experience in stakeholder management, and demonstrate strong analytical problem-solving skills. The position offers a competitive salary and comprehensive benefits.
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Engagement Manager (Computer Vision), Public Sector
Posted 1 day ago
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Job Description
Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We're building enterprise-grade computer vision solutions and delivering them into operational use cases that matter.
We're hiring an Engagement Manager (EM) to lead and coordinate delivery of computer vision workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a customer account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness – and who thrives in fast‑moving, ambiguous, and mission-driven environments.
You will:- Manage customer relationships from the executive to the end user
- Work alongside customers to scope computer vision use cases that Scale's engineering team will build and that you will ultimately refine
- Lead or support a cross‑functional project team to deliver on and exceed the customer's AI/ML objectives
- Lead with a "whatever‑it‑takes" mentality, proactively identifying customer needs and operator pain points to ensure customer success
- Oversee onboarding and successful implementation of customer accounts
- Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision domain
- A technical background (education or professional experience with computer science, economics, statistics, engineering)
- A proven track record in B2B client‑facing roles and expanding client relationships
- Prior experience owning the technical implementation of solutions to the government
- An active TS/SCI clearance
- 3+ years of work experience succeeding in stakeholder management or a customer‑facing role delivering enterprise‑scale applications/solutions
- A deep understanding of ML operations process
- A track record of structured, analytics‑driven problem solving
- Excellent verbal and written communication skills
- Willingness to be onsite with customers up to 4 days per week in the DMV area and/or prepared to travel a minimum of 25%
Compensation for this full-time position in Washington DC includes a base salary range of $187,200 — $234,000 USD, equity, and benefits such as comprehensive health, dental, vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additional benefits may include a commuter stipend.
About Us:At Scale, our mission is to develop reliable AI systems for the world's most important decisions. 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. We work closely with industry leaders including Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance in the application or recruiting process due to a disability, please contact us at
We comply with the United States Department of Labor's Pay Transparency provision.
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws.
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Public Sector Engagement Lead — Computer Vision (TS/SCI)
Posted 1 day ago
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Job Description
Scale AI, Inc. is seeking an Engagement Manager to lead and coordinate delivery of computer vision workflows for a national security customer.
You will own or support a customer account plan, manage day-to-day execution for customers, and ensure an extraordinary customer experience in fast-moving, mission-driven environments. Must have an active TS/SCI clearance, 3+ years in stakeholder management or customer-facing delivery of enterprise-scale solutions, and deep ML operations knowledge.
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Engagement Manager (Computer Vision), Public Sector Washington, DC Apply →
Posted 1 day ago
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Job Description
Engagement Manager (Computer Vision), Public Sector
Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise‑grade computer vision solutions and delivering them into operational use cases that matter.
We’re hiring an Engagement Manager (EM) to lead and coordinate delivery of computer vision workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a customer account plan, manage day‑to‑day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast‑moving, ambiguous, and mission‑driven environments.
You will:
- Manage customer relationships from the executive to the end user
- Work alongside customers to scope computer vision use cases that Scale’s engineering team will build and you will ultimately refine
- Lead or support a cross‑functional project team to deliver on and exceed the customer's AI/ML objectives
- Lead with a “whatever‑it‑takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success
- Oversee onboarding and successful implementation of customer accounts
- Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision domain
We have a diverse team with a variety of skill sets, many have:
- A technical background (education or professional experience with computer science, economics, statistics, engineering)
- A proven track record in B2B client‑facing roles and expanding client relationships
- Prior experience owning the technical implementation of solutions to the government
Must haves:
- An active TS/SCI clearance
- 3+ years of work experience succeeding in stakeholder management or a customer‑facing role delivering enterprise‑scale applications / solutions
- A deep understanding of ML operations process
- A track record of structured, analytics‑driven problem‑solving
- Excellent verbal and written communication skills
- Willingness to be onsite with customers up to 4 days per week in the DMV area and / or prepared to travel a minimum of 25%
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job‑related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
The base salary range for this full‑time position in the location of Washington DC is:
$187,200 — $234,000 USD
PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. 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. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
#J-18808-LjbffrIs this job a match or a miss?
Note: If you’re asked to pay for a job, avoid the role and report the job to us immediately.